RIGA TECHNICAL UNIVERSITY Faculty of Computer Science and Information Technology
Approved by RTU Senate meeting
_____________ year„ „ _________, Protocol No _______
Vice-Rector for Academic Affairs______________________
U.Sukovskis
Academic Study Programme
INTELLIGENT ROBOTIC SYSTEMS
Academic Bachelor Study Programme
Self-assessment report
Riga 2011/2012
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Content 1 Objectives, tasks and expected results of the study programme ..................................... 2
2 Organization of the study programme .............................................................................. 4
3 Description of the study programme ................................................................................ 6
4 Approach to expected results evaluation ......................................................................... 9
5 Practical implementation of the study programme ........................................................ 10
5.1 Used study methods and forms .............................................................................. 10
5.2 Involvement of academic personnel in research and its impact on study process 10
5.3 Student involvement in the research activities ....................................................... 11
6 Evaluation of the study programme’s sustainability ....................................................... 11
6.1 Study programme’s compliance with the standard of academic education .......... 11
6.2 Employers’ surveys on employment opportunities of graduates in the future ...... 14
6.3 Comparison to foreign study programmes in “Intelligent Robotic Systems” ......... 17
6.3.1 Comparison to Swinburne University of Technology programme .................. 17
6.3.2 Comparison to University of Applied Sciences Technikum Wien programme 22
6.4 Comparison to study programs in Latvia ................................................................. 27
6.4.1 Comparison to Latvia University of Agriculture academic study’s programme
Bachelor of “Information Technologies” ......................................................................... 27
6.4.2 Comparison to Riga Technical University academic study’s programme
Bachelor in Automation and Computer Engineering ...................................................... 28
7 Students ........................................................................................................................... 30
7.1 General information about the students ................................................................ 30
7.2 Number of dropout students on the first study year .............................................. 31
7.3 Number of graduates .............................................................................................. 31
7.4 Students’ surveys and their analysis ....................................................................... 31
7.5 Graduates’ surveys and their analysis ..................................................................... 37
7.6 Students’ participation in the study process improvement .................................... 37
8 Assessment/evaluation of the study programme’s academic personnel ....................... 38
8.1 General information about the academic personnel .............................................. 38
8.2 Academic personnel qualification’s compliance with the objectives ..................... 39
8.3 Academic personnel’s policy for the next 6 years ................................................... 40
9 Financing sources and provision of the infrastructure .................................................... 40
10 External relations ......................................................................................................... 41
10.1 Collaboration with employers ................................................................................. 41
10.2 Collaboration with other universities ...................................................................... 42
11 Continuation of studies in the case of study programme cancellation ...................... 42
12 Development plan of the study programme ............................................................... 42
12.1 SWOT analysis ......................................................................................................... 42
12.2 Activities for development of the study programme for the next 6 years ............. 43
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1 Objectives, tasks and expected results of the study programme
The aim of the academic bachelor study programme “Intelligent Robotic Systems” is to
prepare professionals who can be characterized by ability to think systematically, to analyze,
develop and implement technically and economically reasoned robotic and intelligent
system’s solutions that promote these solutions using organizations’ labor productivity
increase and growth, as well as to develop in the student’s ability to carry out the scientific
work, to participate in local and international projects and to continue with master and
doctoral studies.
To achieve the determined aim several tasks of the study programme are defined, as well as
indicators of their fulfillment. They are reflected in the Table below:
No. Task Indicator
1. To develop students’ systems thinking
ability and practical skills that are
necessary for development of the
technically and economically
reasoned robotic and intelligent
systems’ solutions;
To facilitate students' ability to think and
perceive the robotic systems as one whole
study program includes subjects
“Foundations of Computer and Robotic
Systems Design”, “Robot systems modeling
basics”, “Basics of autonomous and mobile
robotic systems”, “Industrial robot control
systems” and “Robot control system
development project”.
2. To use in the study process both
fundamental and classical solutions
and the latest attainments in robotics
and artificial intelligence. To promote
students' individual and practical
work, as well as the technology
immediate work in groups;
Study program includes fundamental
subjects that provide base knowledge and
skills for work and further education in
engineering sciences’ area, including
mathematics, probability theory, physics,
chemistry, electrical engineering and
electronics and others.
Are included study subjects that form
robotics area base knowledge complex,
including “Theoretical Mechanic (robotic
systems)”, “Robot Kinematics”, “Special
Purposes Electrical Machines”, “Industrial
Electronic Equipment”, “Basics of Signal
Theory”, “Electric Drive of Robots”,
“Microprocessor Technique” and others.
Individual and practical work is promoted by
the practical works within the study
subjects, as well as using specific subjects,
for example, “Robot control system
development project”.
3. To provide knowledge and experience
provision for students in several areas
The study programme is realized by
cooperation of three faculties: Faculty of
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by cooperation with teaching stuff
from different Riga Technical
University (RTU) departments;
Computer Science and Information
Technology (FCSIT), Faculty of Power and
Electrical Engineering (FPEE), Faculty of
Transport and Mechanical Engineering
(FTME). This ensures the provision of the
knowledge and experience in relevant areas
to students. In addition to this, students are
asked to choose the theme of the bachelor
thesis, in which is highlighted one of areas
mentioned.
4. To assure the flexibility of the study
program and possibility to modify it in
order to follow changes in the labor
market and new developments in
Information and Communication
Technology (ICT);
Study programme includes both the
compulsory and elective subjects which
combination allows for particular student to
adapt programme according to his/hers
desires and labor market requirements.
Additional option is to use the cooperation
advantages with the University of Tartu that
allow to increase the flexibility and
adaptability of the programme to specific
changes in the labor market, industry or
student request.
5. To prepare and motivate students for
their master studies.
In order to prepare students for master
studies has been implemented the study
project, which creates interest and desire to
improve in this area, regularly outside the
lectures are organized workshops managed
by master and doctoral students, and is
stimulated work in RTU Robotics Club, which
allows to develop their skills, participating in
international level robotics competitions.
6. To assure listed below expected
results defined for the program;
The expected results are achieved by a
combination of knowledge provided within
the compulsory and elective subjects and
skills gained in laboratory works and
projects, as well as by providing research
skills in bachelor thesis development
process. Such combination of particular
subjects’ results provides fulfillment of the
study programmes’ common goals and tasks.
7. To develop cooperation with similar
or topic-related programs in other
countries inside ERASMUS and other
agreements;
The ERASMUS cooperation agreement with
the University of Tartu is signed (included as
additional appendix). In addition the regional
cooperation project in the Interreg Est-Lat
programme is being carried out. The aim of
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this project is to synchronize study programs
between the University of Tartu and RTU, as
well as to promote students’ attraction and
exchange.
Currently the synchronization work with the
University of Tartu is done at master studies
level, but it is planned also for bachelors
studies.
According to the expected results defined for the “Intelligent Robotic Systems” study
programme, the graduates of the programme will:
be able to formulate a specific problem in terms of automated and robotic systems;
be able to develop solutions to particular problems by using modern automatic and
electric drive elements;
be able to develop an automatic or robotic system's control algorithm;
be able to develop software for a specific robotic or automatic equipment
management and coordination;
be able to develop solutions that combine hardware and software technology
advantages;
know how to distinguish problems that should be solved with the hardware
resources from those who should be solved with software resources;
know how to identify problems that can be solved with intelligent robotic systems;
be able to independently acquire new knowledge and skills;
be able to work in group for a single goal’s achievement;
be able to base the specific solution's advantages or disadvantages to the customer
or to another professional;
be able to provide professional and general ethic rules observation within their
powers;
be prepared for their master studies.
2 Organization of the study programme
The study programme is realized by cooperation of three faculties: Faculty of Computer
Science and Information Technology, Faculty of Power and Electrical Engineering, Faculty of
Transport and Mechanical Engineering. It is necessary because the robotic systems are
combination of the mechanics, electronics and software. Thus, the study program is highly
interdisciplinary. To ensure a special emphasis on the topics discussed in particular study
subjects, a cooperation agreement is signed with the University of Tartu, which provides to
students the opportunity to widen their knowledge and experience in electronics and
automatics, as well as improve skills in an international study and research environment.
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To ensure the student's training level for academic bachelor study programme "Intelligent
Robotic System", should be fulfilled the following admission requirements:
Basic requirements:
To begin studies in bachelor's academic study programme "Intelligent Robotic Systems”
requires general or professional secondary education.
Additional requirements:
To begin studies in bachelor's academic study programme "Intelligent Robotic Systems”
student should have knowledge in physics, chemistry, algebra and geometry according to
the requirements of secondary education.
The enrollment of students in study programme is organized once a year – in the summer
together with other RTU academic bachelor study programmes.
To ensure the quality of the study programmes the following means are used:
1) Student questionnaires about particular study subjects. Questionnaire results are
collected and analyzed for quality assurance and improvement, if necessary (Refer
to section 7.4.).
2) Regularly is carried out study program's comparison with other Latvian and abroad
universities' realized study programmes in the field of robotics (Refer to sections 6.3.
and 6.4.).
3) Discussions with students about study subjects’ realization and their content are
carried out.
4) Following the practice adopted by RTU, SWOT analysis of the programme is regularly
carried out.
5) For quality assessment is carried out questionnaire of the potential and current
employers. Special attention is given to potential employers’ involvement in joint
scientific research projects and their active participation in the bachelor theses’
themes formulation and also in their evaluation. As example can be mentioned RTU
and Terra Virtuala Ltd. signed cooperation agreement.
6) For quality assurance and active student involvement students applications'
processing and submission mechanism are implemented, which, if necessary, allow
students to remain anonymous, thus providing a very significant additional feedback
for particularly important deviations from the programme’s content defined in the
description of study subjects.
7) Strong emphasis in study process is placed on doctoral students' involvement in the
study programme's implementation together with experienced and highly qualified
teaching stuff, thus creating a dynamic and professional learning environment.
8) Modern laboratory equipment is used, which includes an automatic production
lines, several freedom degrees industrial robots and modern computer classes.
Equipment is also freely available for study's daily process and bachelor thesis
development (for details see Appendix 1).
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3 Description of the study programme
Study programme “Intelligent Robotic Systems” (total 80 CP) consists of 37 CP of compulsory
subjects and rest of them are compulsory limited choice and free choice subjects. According
to specifics of study programme all subjects can be divided into thematic groups:
Fundamental subjects of engineering sciences
Compulsory subjects: Supplementary Mathematics (for mechanical engineering), Physics, General Chemistry, Theoretical Mechanic (robotic systems), Discrete Mathematics, Probability Theory and Mathematical Statistics, Numerical Methods, Random Processes, Introduction to Study Field, Descriptive Geometry and Engineering Graphics;
Subjects of general education
Compulsory subjects: Sport Activity, Languages (Latvian, English, German or French), Fundamentals of Computer Graphics and Image Processing, Applied Software, Civil Defence, Basics of Communication;
Electronics and its related areas
Compulsory subjects: Electrical Engineering and Electronics I, Microprocessor Technique, Basics of Signal Theory, Industrial Electronic Equipment;
Fundamentals of robotic systems
Compulsory subjects: Robot Kinematics, Traction Drives of Electrical Transport, Special Purposes Electrical Machines, Control Technique with Microprocessor Controllers;
Software development
Compulsory subjects: Algorithmization and Programming of Solutions, Object-Oriented Programming;
Intelligent control systems
Compulsory subjects: Discrete Structures of Computer Science, Fundamentals of Artificial Intelligence, Intelligent Electronic Equipment in Robotic Systems;
Fundamentals of systems thinking
Compulsory subjects: Methods of Systems Theory, Linear and Nonlinear Systems;
Segments of deepened knowledge
This group consists of compulsory limited choice subjects, like humanitarian and social, educational or economic and management subjects, and free choice subjects.
Specializing subjects
This group consists of the limited choice of subjects that allow choosing one of two specialization directions:
Robots hardware:
Introduction to Digital Electronics ;
Electric Drive of Robots;
Introduction to Electrical Drives;
Industrial robot control systems;
Power Electronics;
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Electrical Drives (Study Project); Robots control:
Robot systems modeling basics;
Basics of Autonomous and Mobile Robotic Systems;
Foundations of Computer and Robotic Systems Design;
Logical Foundations of Intelligent Robots;
Robot control system development project.
Mentioned thematic groups should not be considered as fixed study programme’s modules. Study programme’s subjects can be arranged in several modules systems to flexibly ensure compliance with the labor market requirements, and, if the need arises, cooperation with other countries’ universities similar study programmes.
Volume of the programme’s parts and time distribution are shown in following Table:
Identifier Group of subjects CP (%)
A Compulsory study subjects 85 70,83 %
B Compulsory limited choice subjects 21 17,5%
1. Specializing subjects 11 9,17%
2. Humanitarian and social, educational or economic and management subjects
10 8,3%
C Free choice subjects 4 3,33%
D Bachelor thesis 10 8,33%
Total 120
Extended distribution of the courses’ groups is shown in following Table:
A. COMPULSORY STUDY SUBJECTS 85 CP
1. Introduction to Study Field 1 CP
2. Mathematics 9 CP
3. Supplementary Mathematics (for mechanical engineering) 2 CP
4. Numerical Methods 2 CP
5. Discrete Mathematics 2 CP
6. Probability Theory and Mathematical Statistics 2 CP
7. Random Processes 2 CP
8. Physics 6 CP
9. Theoretical Mechanic (robotic systems) 3 CP
10. Robot Kinematics 3 CP
11. General Chemistry 2 CP
12. Electrical Engineering and Electronics I 2 CP
13. Descriptive Geometry and Engineering Graphics 2 CP
14. Fundamentals of Computer Graphics and Image Processing 2 CP
15. Applied Software 2 CP
16. Algorithmization and Programming of Solutions 5 CP
17. Object-Oriented Programming 3 CP
18. Discrete Structures of Computer Science 3 CP
19. Fundamentals of Artificial Intelligence 3 CP
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20. Methods of Systems Theory 2 CP
21. Linear and Nonlinear Systems 2 CP
22. Traction Drives of Electrical Transport 2 CP
23. Microprocessor Technique 3 CP
24. Special Purposes Electrical Machines 3 CP
25. Introduction to Electrical Drives 2 CP
26. Basics of Signal Theory 4 CP
27. Industrial Electronic Equipment 2 CP
28. Intelligent Electronic Equipment in Robotic Systems 3 CP
29. Control Technique with Microprocessor Controllers 3 CP
30. Basics of Communication 2 CP
31. Civil Defense 1 CP
32. Sport Activity 0 CP
B. COMPULSORY LIMITED CHOICE SUBJECTS 21 CP
1. Specializing subjects 11 CP
1.1. Introduction to Digital Electronics 3 CP
1.2. Robot systems modeling basics 3 CP
1.3. Electric Drive of Robots 2 CP
1.4. Basics of Autonomous and Mobile Robotic Systems 2 CP
1.5. Industrial robot control systems 2 CP
1.6. Power Electronics 2 CP
1.7. Foundations of Computer and Robotic Systems Design 2 CP
1.8. Logical Foundations of Intelligent Robots 2 CP
1.9. Electrical Drives (Study Project) 2 CP
1.10. Robot control system development project 2 CP
2. Humanitarian and social subjects 4 CP
2.1. General Sociology 2 CP
2.2. Sociology of Management 2 CP
2.3. Sociology of Personalities and Small Groups 2 CP
2.4. Management Theory 2 CP
2.5. Organization of Management in Enterprise 2 CP
2.6. Business Economics 2 CP
2.7. Business Economics and Fundamentals of Marketing 2 CP
2.8. Economics and Planning of Small Business 2 CP
2.9. Business and Investments 2 CP
3. Languages 4 CP
3.1. English 4 CP
3.2. German 4 CP
3.3. French 4 CP
C. FREE CHOICE SUBJECTS 4CP
E. FINAL EXAMINATIONS 10 CP
1. Bachelor thesis 10 CP
Total: 120 CP
Practically in all subjects student work is evaluated taking into consideration all the work done during the semester. The following activities are evaluated:
1) individual assignments during the lectures and laboratory works; 2) student’s activity during lectures; 3) individual independent assignments or teamwork; 4) projects; 5) study works;
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6) exams, tests and bachelor thesis.
Within the studies students have access to FCSIT computer classes and free software for
study needs with usage limits set by RTU and Microsoft Latvia cooperation agreement.
Students have the opportunity to use RTU library services and there available literature, as
well as electronically available databases.
For laboratory works are used computer rooms equipped with modern production
automation resources and robotic production process management software. In
cooperation with ABB Latvian agency created industrial robotics laboratory is being used.
Laboratory is equipped with a robot modeling software, as well as industrial robot ABB IRB
1600.
For independent and final works' development Autonomous systems laboratory is available,
which is freely available to both masters and bachelors students in leisure time of lectures.
In addition to this traditional modern presentation tools are used – data/video projectors
and presentation software.
RTU e-learning management environment ORTUS is used in the study process. ORTUS is a
repository of teaching materials, tasks and works results, communication environment with
students and a feedbacking mechanism for students in form of assessment or comment.
Using FCSIT realized projects funds material and technical base in recent years for students
has been significantly expanded. It is planned that till May 2012, the total investment
amount will reach 10000 LVL. Most of the funds have been used for electronic and
electromechanical components purchase, as well as for purchase of individual instruments,
that may be necessary for studies or final works' practical part realization.
In parallel with studies with RTU Student Parliament's support robots building workshops
are organized, where the best students have the opportunity under the guidance of
experienced teachers during one academic year to develop a mobile robotic platform.
During drawing up this document number of applications accepted is 1/3 of the total
number of applications, which has reached more than 90. It is characterized by high
students’ interest in these workshops (not only "Intelligent Robotic Systems" programme
students). Such are given additional motivation and stimulus to learn the study subjects with
responsibility.
Students have access to mobility programmes, with special emphasis on cooperation with
the University of Tartu, with which study programmes are coordinated and, where possible,
supplement each other.
In addition to this students have access to free choice of courses within continuing
education and summer schools.
4 Approach to expected results evaluation
The results' evaluation system is based on RTU Study learning outcomes evaluation
regulations (protocol no. 539) approved in the March 29, 2010. The evaluation methods for
each subject are defined by the responsible academic personnel (teacher) according to study
course goals, tasks and applied teaching methods. The evaluation methods are known to
students at the beginning of the semester. Some of the evaluation methods used by
teachers are as follows:
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written or oral examinations during the session;
written or oral individual work whose results can include presentation;
project that can be evaluated according to the student's contribution to group work;
regular tests during semester;
combination of the previously mentioned methods;
Assessment of each subject is determined in 10 grade scale or in case of the test with the
pass/fail.
Bachelor thesis is also evaluated in 10 grade scale.
5 Practical implementation of the study programme
5.1 Used study methods and forms
Subjects are being implemented in different amount according to the study plan - 1, 2, 3 or 4
CP. According to this in addition to lectures is foreseen defined work amount for work in
groups, practical tasks or independent work. All study subjects include independent work.
Most of the subjects whose amount is greater than 2 CP also include practical tasks or work
in groups. More about this was described previously.
Modern presentation technologies such as PowerPoint are widely used in study subjects. To
strengthen the knowledge gained, practical tasks supervised by a lecturer are widely used in
specializing subjects, i.e. lecturer demonstrates certain manipulations with equipment or
software that students can later repeat - step by step. Then, increasing task's difficulty level,
students can solve tasks independently. This is especially important when using expensive
and complex techniques, such as industrial automation resources. In study subjects where
industrial robot ABB IRB 1600 is intended for use, students are initially trained to work with
"virtual" robot within the appropriate simulation environment. When it is acquired well
enough a job with a real machine is offered. Such students are motivated and stimulated to
actively and accurately learn the subject matter.
In order to enable effective use of the subject matter for practical and independent works,
e-learning environment ORTUS is used in RTU, as well as additional communication
opportunities provided by the system.
5.2 Involvement of academic personnel in research and its impact on study
process
According to the summary of the academic staff (Appendix 3) shown below, most of them
are with a doctoral degree in the corresponding field of research. This means that most of
the academic staff has active participants in research, which allows them to use scientific
achievements, methods and results in improvement of the learning process, as well as in
improvement and regular updating of the teaching material.
Active scientific work experience enables more efficient teaching material's transfer to
students, as well as to motivate them to start their own research.
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Good examples of such a motivation are jointly realized European Regional Development
Fund (ERDF) supported projects “Development of technology for multiagent robotic system”
and “Research and Development of the Intelligent Hybrid Uninterruptible Power Supply
Systems and their Elements to Increase Energy Efficiency”, where are actively involved
master and bachelor level students. The same typical example is the Interreg cooperation
project BONITA, under which the as part of a demonstration equipment, by collaborating
teaching stuff with students, was created a robotic system that uses advanced technical
solutions to achieve high mobility.
In addition to this, together with the students a collaborative project ICT-DCNet devoted to
study programmes synchronization with the University of Tartu, as well as attraction of new
students to robotics studies is carried out.
Thanks to this partnership, students gladly participate in other activities of the faculty,
including robotics workshops designed to motivate students for studies and to attract new
students.
It should be emphasized that the number of study programmes teachers has high scientific
qualifications and an international scientific reputation. Among them are academician of the
Latvian Academy of Sciences J. Grundspeņķis, academician L. Ribickis, corresponding
member U. Sukovskis, etc. with a large number of internationally cited publications,
monographs, conference organizing experience and active work in the conference programs
committees.
More information about specific scientific achievements is represented in Appendix 7.
5.3 Student involvement in the research activities
The study programme do not provide direct student involvement in research work,
therefore, unlike the master level programmes, there are no specializing study subjects for
relevant knowledge and skills provision. Despite this bachelor thesis, which is formed as an
independent research on a particular topic, gives a quite good practice that motivates and
prepares for more focused research within master level studies.
As mentioned before (see Section 5.2.), already now students are involved in the ERDF
scientific research project and in two Interreg cooperation projects. Students have
opportunities each year to participate in the RTU students' scientific conference, as well as
in the RTU scientific conference with achieved research results.
Being involved in scientific projects, students have the opportunity to publish the results
together with experienced researchers, as well as to improve their skills and abilities in
particular problems' solving process.
6 Evaluation of the study programme’s sustainability
6.1 Study programme’s compliance with the standard of academic education
Study programme’s compliance with standard of academic education is reflected in Table
below:
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Latvian standard of academic education Study programme “Intelligent Robotic Systems”
1. n/a
2. The aim of the academic education strategy is ensure theoretical knowledge and scientific skills preparing for self-dependent scientific research in the chosen area or subarea.
The aim of the academic bachelor study programme “Intelligent Robotic Systems” is to prepare professionals who can be characterized by ability to think systematically, to analyze, develop and implement technically and economically reasoned robotic and intelligent systems’ solutions that promote these solutions using organizations’ labor productivity increase and growth, as well as to develop in the student’s ability to carry out the scientific work, to participate in local and international projects and to continue with master and doctoral studies.
3. Academic education is implemented in academic study programmes, and after successful accomplishment of the studies the student receives an academic bachelor’s degree in the science area.
Student gets Bachelor Degree of Engineering Sciences in Computer Control and Computer Science after successful accomplishment of the study programme „Intelligent Robotic Systems”.
4. Structure and content of the study programme promotes the acquisition of skills of using acquired knowledge, scientific inquiry and research skills. Obtained academic education is a prerequisite for getting a scientific qualification and it is a prerequisite for scientific activities in a chosen professional field.
Study program includes fundamental subjects in engineering sciences that provide base knowledge and skills. Are included study subjects that provide the newest knowledge in area, for example, “Intelligent Electronic Equipment”, “Basics of autonomous and mobile robotic systems”, “Logical Foundations of Intelligent Robots”. The programme also includes the project type subjects which prepare the students for independent work and research activities including the bachelor thesis development.
5. Volume of the study programme is set by number of credits. Credits are listed for each course (as well as practice), if the test results are positive.
Total number of credit points – 120 CP, each subject and bachelor work have a set number of credit points.
6. Study program’s evaluation principles are the following: 6.1. The principle of mandatory evaluation – it is necessary to get a positive evaluation for acquisition of program contents. 6.2. The principle of diversity of learning outcomes evaluation – different methods are used for learning outcomes. 6.3. The principle of adequacy of evaluation — in the tests students can show their analytical, creative and researching skills.
The evaluation of learning outcomes of “Intelligent Robotic Systems” corresponds to evaluation criteria in each and every study subject, which includes evaluation of the practical work, laboratory work, independent work and other activities, exams, tests, and bachelor thesis.
7. Learning outcomes are evaluated on a 10 grade scale: 7.1. very high acquisition level (10 — “with distinction”, 9 — “excellent”); 7.2. high acquisition level (8 — “very good”, 7 — “good”); 7.3. average acquisition level (6 — “almost good”, 5 — “satisfactory”; 4 — “almost satisfactory” — lowest successful grade); 7.4. low acquisition level (negative grades: 3 — “poor”, 2 — “very poor”, 1 — “very, very poor”).
In the study programme „Intelligent Robotic Systems” learning outcomes are evaluated according to scale which is defined into state academic standards, Point 7. And it is according to learning outcomes evaluation scale accepted by RTU.
8. In the study programme’s learning process there are not more than six compulsory subjects at the same time.
In the study programme the first 2 semesters have 7 compulsory subjects. It is related to RTU specific
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subject “Sport Activity” that has 0 CP and final examination is test. Thus, the exam session will retain six subjects load.
9. Bachelor studies is scientifically based wide profile studies.
The intended study programme provides a wide enough range of the fundamental subjects in engineering sciences, as well as for robotics and industrial automation area specific subjects that describe the intended programme as a a wide profile programme.
10. Bachelor study programme profile and the name are made in accordance with the Classifier of Educational Programmes.
According to programme's content educational programme's classificator code 43481 assigned to it, which states that the programme is implemented in Computer Control and Computer Science and comply with the engineering sciences area. The name does not have exact match in classifier. Therefore, it is designed according to the programme's content.
11. Bachelor study programme is intended to provide students with theoretical knowledge and research competences and skills in key area of corresponding sciences' sector or subsector.
The study program is focused on theoretical knowledge in mechanics, artificial intelligence, electrical drive, software development, systems theory and other areas that allow to carry out research and apply technologies for integrated solution development, taking into account their impact on specific manufacturing processes, existing infrastructure, as well as human and mentioned factors' development at level of individual equipment, process and organization.
12. Bachelor study programme’s main objective is to provide students with a scientific basis for professional activities, developing scientific analysis abilities and the ability to independently solve problems and to prepare students for future scientific research studies.
The study programme provides a number of fundamental subjects in the engineering sciences, that provides the necessary scientific basis for professional and specializing subjects, such providing the scientific basis for future professional activities. Most of the subjects contain practical work or laboratory work part, which develops student's independent work and analysis capabilities, as well as prepares for study continuation in masters study programmes.
13. Bachelor study programme’s amount for full time and part time studies is 120 – 160 CP, including bachelor thesis not less than 10 CP. The duration of full-time studies is 6 - 8 semesters.
Programme’s amount for full time studies is 120 CP, including 10 CP for bachelor thesis. The duration of full-time studies is 6 semesters.
14. Bachelor study programme include compulsory subjects - not less than 50 credit points, elective subjects not less than 20 credit points and free choice subjects.
Programme include: - compulsory subjects – 85 CP; - compulsory/elective subjects – 21 CP; - free choice subjects – 4 CP.
15. Bachelor study programme’s include the compulsory part that includes basics, principles, structure and methodology of the particular branch of science not less than 25 CP, its history and contemporary problems not less than 10 CP, its state of the art and interdisciplinary aspects not less than 15 CP.
The Guidelines forming subjects in amount of 42 CP: Mathematics (9 CP), Supplementary Mathematics (for mechanical engineering) (2 CP), Discrete Mathematics (2 CP), Physics (6 CP), Descriptive Geometry and Engineering Graphics (2 CP), Algorithmization and Programming of Solutions (5 CP), Applied Software (2 CP), General Chemistry (2 CP), Electrical Engineering and Electronics I (2 CP),
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Numerical Methods (2 CP), Probability Theory and Mathematical Statistics (2 CP), Random Processes (2 CP), Theoretical Mechanic (robotic systems) (3 CP), Robot Kinematics (3 CP). Subjects devoted to history and current problems in amount of 15CP: Methods of Systems Theory (2 CP), Basics of Signal Theory (4 CP), Introduction to Study Field (1 CP), Traction Drives of Electrical Transport (2 CP),, Microprocessor Technique (3 CP), Object-Oriented Programming (3 CP); Area's problems in the interdisciplinary aspect in amount of 16CP: Fundamentals of Computer Graphics and Image Processing (2CP), Linear and Nonlinear Systems (2 CP), Control Technique with Microprocessor Controllers (3KP), Fundamentals of Artificial Intelligence (3 CP), Discrete Structures of Computer Science (3 CP), Intelligent Electronic Equipment in Robotic Systems (3 CP). Other compulsory subjects are not belonging to these groups or are applicable to several of them.
16. Bachelor degree - Bachelor of Education Sciences, Human Sciences, Social Sciences, Natural Sciences, Engineering Sciences, Agriculture Sciences, Health Sciences and Environmental Sciences - grants in related science fields group according to the Latvian Ministry of Education classification for education thematic groups.
According to programme content educational programme's classificator code 43481 assigned to it, the graduate receives Bachelor of Engineering Sciences in Computer Control and Computer Science.
17. Science fields groups' bachelor study programme’s list taking into account the Council Of Higher Education recommendation at the end of each academic year confirms the Minister of Education and Science.
n/a
18. A Bachelor’s degree shall give the right, after fulfilling the requirements for admission into the academic Master’s study programme in the same or a related science field or subfield (under the conditions of admission in particular Master's study programme).
The programme has been developed in coordination with the same name academic master's study programme, which provides further studies. According to the conditions of admission graduating students of this program will be able to continue their studies in other RTU Faculty of Computer Science and Information Technology, Faculty of Power and Electrical Engineering, Faculty of Transport and Mechanical Engineering realized masters’ study programmes.
19. Right to continue academic studies in the master's programme are also to the higher professional study programmes' graduates, in which are included corresponding bachelor study programmes’ compulsory part (without bachelor thesis) in amount not less than 70 CP.
n/a
20. – 24. n/a
6.2 Employers’ surveys on employment opportunities of graduates in the future
According to the personal robots market forecast done by ABI Research (One of the leading
market forecasting companies that focuses on future and emergent technologies) by 2017
15
the total market value will reach 19 billion US dollars. The main driving force will be
telepresence, security and defense applications that keep developing very fast.
(http://www.roboticstrends.com/consumer_education/article/personal_robotics_market_t
o_top_19_billion_in_2017).
According to the forecasts published in:
http://www.researchandmarkets.com/reports/582349/educational
and_entertainment_robot_market.pdf entertainment and educational robots market will
reach 3 billion US dollars in comparison with 2007 when it was only 28 million US dollars.
It has to be emphasized that it is only a part of the total robotic systems market. For instance
industrial robots market exceeds 17 billion in 2010 and the total number of systems was 120
thousand per year that is twice as large as it was back in 2009 (from „Executive summary 1.
World Robotics 2011 Industrial Robots” :
http://www.worldrobotics.org/uploads/media/2011_Executive_Summary.pdf). It has been
forecasted that until 2014 the annual sell will increase up to 140000 units maintaining an
average growth on 6% level, ensuring 1.3 million devices being in use. Europe’s market
growth forecasts are little less reaching 4% per year.
Latvia and the Baltic region in general will not stay out of those trends, already it is noticed
that after the economic fall Latvian companies are more active investing their money in new
technologies and automation than it was before crisis. It clearly indicates that in near future
there will be a solid necessity for well educated people in robotics capable to maintain the
existing as well as develop new automation and robotics solutions.
The program already was supported by Latvian IT Cluster, Association of mechanical
engineering and metal-fabricating industry, Ministry of Defense Of Latvia and Association of
Latvian Computer technologies.
In 2011 a survey has been conducted, where some of potential employers were asked to
estimate what is the actual value of the given graduate for the particular company. In
addition every of the mandatory or partially elective subject was evaluated. Terra Virtuala
Ltd and ABB Latvia Ltd are the largest Latvian robot integrators, sellers and maintainers.
Accenture is one of the larges IT companies in Latvia working in pure software development
as well as in mobile and autonomous application development sectors. Generis Ltd is a
process automation company that provides self-developed solutions and technologies. The
main selection criterion of this company was the fact that it already employs some of the
students.
Pease estimate a potential employee in 10 point scale:
16
Please estimate importance of the mandatory courses for your enterprise:
17
Please estimate importance of the partially elective courses:
As it is depicted in the charts some of the subject suit better for one companies and are less
appropriate for the rest. It clearly indicates the actual position of the study program in the
current market.
6.3 Comparison to foreign study programmes in “Intelligent Robotic Systems”
The academic bachelor study programme „Intelligent robotic systems” was developed after
the analysis of similar study programmes in other countries as well as study programmes
close to the particular study field (that includes robotics, electronics, energetic, machine
building). For comparison Swinburne University of Technology study programme Bachelor of
Engineering Robotics and Mechatronics and University of Applied Sciences Technikum Wien
(Austria) programme Bachelor in Mechatronics/Robotics are used.
6.3.1 Comparison to Swinburne University of Technology programme
Reference: http://courses.swinburne.edu.au/courses/Bachelor-of-Engineering-%28Robotics-
and-Mechatronics%29-R050/international#aboutthecourse (cited in 15.11.2011.)
The study programme is carried out in Australia, which provides relatively high differences in
credit points system. Therefore, in this comparison are used contact hours equivalent. In
Latvia with one credit point understands 40 student work hours, which includes lectures,
individual work, etc. In the Riga Technical University mentioned amount of work is divided as
follows: 16 contact hours + 24 students individual work hours.
Below in the comparison is used Swinburne University recommended subjects layout and
sequence. The total number of contact hours is very similar for both programs, i.e.
18
Swinburne University programme 1211, but the RTU 1456 contact hours. In this comparison
only the compulsory subjects and the limited choices, or specializing subjects are
considered. Using continuous lines are indicated compliance with the compulsory subjects,
but with dashed lines is indicated compliance with the limited choice (compulsory choice)
subjects.
For many subjects in both programs can be found direct relation:
Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)
Intelligent Robotic Systems (Riga Technical University)
Engineering Mathematics
Mathematics + Supplementary
Mathematics (for mechanical
engineering)
Numerical Methods
Discrete Mathematics
Probability Theory and Mathematical
Statistics
Random Processes
The main differences of these subjects are hiding in the fact that in the RTU is taught in
addition Probability Theory and Discrete Mathematics. This is related with these subjects
matter use in later courses in artificial intelligence, programming, and elsewhere, which is
essential to ensure the RTU programme specialization – Intelligent Robotic Systems.
19
Comparison to Swinburne University of Technology programme:
Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)
Compliance Intelligent Robotic Systems (Riga Technical University)
Contact hours
Subject Subject Contact hours
180 Engineering Mathematics Mathematics + Supplementary
Mathematics (for mechanical engineering)
176
Numerical Methods 32 Discrete Mathematics 32
Probability Theory and Mathematical
Statistics 32
60 Electronic systems Random Processes 32 66 Circuits and Electronics Electrical Engineering and Electronics I 32
48 Technical software development Algorithmization and Programming of
Solutions 80
60 Machine Dynamics Theoretical Mechanic (robotic
systems) 48
48 Object-oriented programming in C++
Object-Oriented Programming 48
61 Digital Electronics design Industrial Electronic Equipment 32
67 Digital Signal and image processing Basics of Signal Theory, Fundamentals
of Computer Graphics and Image Processing
96
66
Electric actuators and sensors Introduction to Electrical Drives,
Traction Drives of Electrical Transport,
Special Purposes Electrical Machines
112
58 Energy and motion Physics 96
48 Machine design Robot Kinematics 48
61 Embedded microcontrollers Microprocessor Technique 48
67 Control and automation Control Technique with
Microprocessor Controllers 48
71 Robot control Linear and Nonlinear Systems 32
48 Engineering management Methods of Systems Theory 32
60 Materials and processes General Chemistry 32
60 Structural mechanics Fundamentals of Artificial Intelligence 48
66 Mechatronics systems design Intelligent Electronic Equipment in
Robotic Systems 48
48 Design and development Descriptive Geometry and Engineering
Graphics 32
100 Robotics and mechatronics – project
Discrete Structures of Computer
Science 48
48 Robot system design Foundations of Computer and Robotic
Systems Design 32
Introduction to Digital Electronics 48
Robot systems modeling basics 48
Robot control system development
project 32
Electrical Drives (Study Project) 32
20
Continuation of direct compliance subjects:
Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)
Intelligent Robotic Systems (Riga Technical University)
Circuits and Electronics Electrical Engineering and Electronics I Technical software development Algorithmization and Programming of Solutions
Machine Dynamics Theoretical Mechanic (robotic systems)
Object-oriented programming in C++ Object-Oriented Programming
The main differences between these subjects are in number of contact hours that is related
to differences in the educational system (Australian programme is intended for 4 years, but
RTU for 3 years) and programme's professional orientation.
Next is shown a group of subjects that is very close in their content:
Bachelor of Engineering Robotics and Mechatronics (Swinburne University of Technology)
Intelligent Robotic Systems (Riga Technical University)
Electronic systems Digital Electronics design Industrial Electronic Equipment Digital signal and image processing Basics of Signal Theory, Fundamentals
of Computer Graphics and Image Processing
Electric actuators and sensors Introduction to Electrical Drives,
Traction Drives of Electrical Transport,
Special Purposes Electrical Machines Energy and motion Physics
Machine design Robot Kinematics
Embedded microcontrollers Microprocessor Technique
Electric actuators and sensors
Introduction to Electrical Drives,
Traction Drives of Electrical Transport,
Special Purposes Electrical Machines
This subjects group has only minor differences with the RTU realized subjects, such as
subjects "Electronic Systems" and "Digital Electronics Design" at the RTU in means of
content are discussed in subjects "Industrial Electronic Equipment" and" Basics of Signal
Theory" as well as in subject "Introduction to Electrical Drives"(limited choice subject). Since
the RTU programme specializes in intelligent systems, for the subjects are no precise
substantive compliance. Part of the matter, which is devoted to electronic system design, is
taught in master’s programme. Thus, in the RTU programme more focus is on basic subjects
(Physics, Mathematics, etc.).
Also the subject's " Digital signal and image processing " matter is viewed separately, i.e.
digital signal processing are discussed within " Basics of Signal Theory", but the remote
processing within the subject " Fundamentals of Computer Graphics and Image Processing".
Subject dedicated to computer vision are viewed in master's programme.
The subject in Electric actuators and sensors comply with a number of the RTU subjects
devoted to aspects of electric drive. However, the direct correlation in their content are not,
because to sensors dedicated study matter is intended for master's studies. Nevertheless,
the sensors' signals processing is viewed in the subject "Basics of Signal Theory".
21
Should be stressed also an important differences in names, for example, the subject of
"Energy and motion" by content is part of the Physics mechanics, as well as the Robots
kinematics content's part.
The rest of subjects’ content is more fragmented or there is no correlation at all.
Control and automation – subject content is fragmented between many RTU
subjects, including “Fundamentals of Artificial Intelligence”, where are discussed
decision making techniques. Automation aspects are viewed in subject “Control
Technique with Microprocessor Controllers”, but control mathematical aspects in
“Linear and Nonlinear Systems”.
Robot control – robot control technical implementation aspects are viewed in
subject “Microprocessor Technique”, but its mathematical fundaments in subject
“Linear and Nonlinear Systems”.
Engineering management – subject by its content gives knowledge and skills in
project planning, realization and realization’s control. Direct correlation in RTU
programme is not, but the relevant matter can be acquired through a combination
the engineering sciences and human sciences subjects. For example, systemic
thinking basics are taught in the subject "Methods of Systems Theory", with project
management related knowledge are provided in the limited choice subjects
“Management Theory” and “Organization of Management in Enterprise”, as well as
in others subjects from human sciences.
Materials and processes – to this subject by its content there is not appropriate
subjects in RTU programme, because it deals with materials and their structures for
use in robotic system design. In RTU partly this matter is viewed within Physics and
General Chemistry.
Structural mechanics – also to this subject by its content there is not appropriate
subjects in RTU programme. In RTU partly this matter is viewed within subjects
“Theoretical mechanics” and “Robot Kinematics”.
Design and development – the subject is dedicated to CAD and CAM technology use
in robotic systems design. As well as a significant part is devoted to gaining practical
skills. In RTU part of the matter is acquired in the subject "Descriptive Geometry and
Engineering Graphics", which provides skills in drawing, as well as in objects'
graphical representations development in accordance with the engineering sciences
requirements. System prototyping aspects are presented in subject "Computer and
robot system design basics." Combining both subjects contents, can cover most of
the necessary study matter.
22
The next three subjects are projects focused on various aspects of robotic systems with the
aim to give practical skills in systems development.
Mechatronics systems design
Robotics and mechatronics – project Robot system design
In RTU programme is intended only two projects, of which a student may choose one:
Robot control system development project Electrical Drives (Study Project)
This is because of RTU programme's specifics, i.e. it is the academic study programme, as
well as in the total study duration, which does not allow to present three wholesome
projects.
Individual RTU subjects are not compliant at all, including "Sport Activity" and "Basics of
Communication" which in RTU are compulsory, but in Swinburne University of Technology
programme are not included.
Overall, Swinburne University of Technology realized study programme, by its content, is
very close to the RTU proposed. The main differences cause significantly shorter duration of
studies - 3 years, and the differences for expected learning outcomes, i.e. in Australia
realized programme is more focused on practical skills acquisition – it is a professional study
programme but RTU programme is intended for academic studies.
6.3.2 Comparison to University of Applied Sciences Technikum Wien programme
Reference:http://www.technikum-wien.at/en/study_programs/bachelor_s/mechatronics_robotics/
(cited in 15.11.2011.)
The study programme is carried out in University of Applied Sciences Technikum Wien
(further TW) in Austria that is an EU Member State, thus providing similarity in the duration,
amount and content of studies. Like in other EU countries, the amount of studies is made in
accordance with the European Credit Transfer System (ECTS). Similar to the RTU proposed
programme, the total study duration is three years with the amount of 180 ECTS.
Below is shown the comparison between RTU programme and TW programme. Using
continuous lines are indicated compliance with the compulsory subjects, but with dashed
lines is indicated compliance with the limited choice (compulsory choice) subjects. If there
are no lines, then compliance is very poor or is not at all.
23
For many subjects in both programs can be found direct relation:
Bachelor in Mechatronics/Robotics
(TW)
Intelligent Robotic Systems (RTU)
Mathematics Mathematics + Supplementary Mathematics
(for mechanical engineering) Numerical Methods Discrete Mathematics
Probability Theory and Mathematical
Statistics, Random Processes Mechanics Physics, Theoretical Mechanic Design and machine parts Theoretical Mechanic, Robot Kinematics Electrical engineering and electronics Electrical Engineering and Electronics I
Digital Automatons Introduction to Digital Electronics Introduction to Computer Science Introduction to Study Field
Programming, data structures and
algorithms
Algorithmization and Programming of Solutions, Discrete Structures of Computer Science
Engineering drawing and CAD Descriptive Geometry and Engineering
Graphics
Signal and image processing Fundamentals of Computer Graphics and
Image Processing, Basics of Signal Theory
Robots: programming and simulation Robot systems modeling basics
Actuating elements Introduction to Electrical Drives Electronic components
Industrial Electronic Equipment, Introduction to Digital Electronics
In this group of subjects only a few TW subjects matter is divided or combined within several
subjects in the RTU. Also, credit points’ amount is very similar. Also here can be seen limited
acquisition of fundamental subjects, i.e. TW content does not provide learning probability
theory, artificial intelligence and physics. Instead, there is presented limited content’s
physics - mechanics, but for probability theory practical attention is not paid. For signal
processing is also devoted much less attention than in the RTU programme. This is related
with TW programme's specialization – mechatronics and robotics, in contrast to the RTU
specialization – intelligent robots, whose technologies without viewing artificial intelligence
and probability theory is not possible to qualitative acquire.
24
Comparison of programmes:
Bachelor in Mechatronics/Robotics
(TW)
Compliance Intelligent Robotic Systems (RTU)
ECTS Subject Subject ECTS
9 Mathematics Mathematics + Supplementary
Mathematics (for mechanical engineering) 16,5
9 Mechanics Numerical Methods 3 3 Design and machine parts Discrete Mathematics 3
3 Digital machines Probability Theory and Mathematical
Statistics 3
6 Electrical engineering and electronics
Random Processes 3
3 Introduction to Computer Science Introduction to Study Field 3
6 Programming, data structures and algorithms
Theoretical Mechanic (robotic systems) 4,5
3 Introduction in robotics Physics 9
3 Material science Algorithmization and Programming of
Solutions 7,5
3 Engineering drawing and CAD Object-Oriented Programming 4,5 3 Electronic components Industrial Electronic Equipment 3 3 Industrial robotics Basics of Signal Theory 6
3 Sensor technology Fundamentals of Computer Graphics and
Image Processing 3
3 Actuating elements Introduction to Electrical Drives 3 3 Operating systems and networks Traction Drives of Electrical Transport 3 3 Control engineering and fieldbus Special Purposes Electrical Machines 4,5 3 Robotics lab Electrical Engineering and Electronics I 3
3 Robots: programming and simulation
Robot Kinematics 4,5
3 Measurement and control engineering
Microprocessor Technique 4,5
3 Process automation and visualization
Control Technique with Microprocessor Controllers
4,5
3 Signal and image processsing Linear and Nonlinear Systems 3 3 Embedded systems and real time Methods of Systems Theory 3 3 Manufacturing engineering General Chemistry 3 3 Robotics lab Fundamentals of Artificial Intelligence 4,5
3 Designing robotern Intelligent Electronic Equipment in Robotic
Systems 4,5
3 End effectors Descriptive Geometry and Engineering
Graphics 3
Discrete Structures of Computer Science 4,5 Introduction to Digital Electronics 4,5 Robot systems modeling basics 4,5 Robot control system development project 3 Electrical Drives (Study Project) 3 3 Automation of production Robot systems modeling basics
3 Applied process and plant simulation
Industrial robot control systems
3 Operation and assembling technology
Basics of Autonomous and Mobile Robotic Systems
3 Mobile and service robotics
Next is shown a group of TW subjects that does not have precise compliance is with RTU
subjects:
25
Introduction in robotics – subject is dedicated to key definitions, classification, as
well as learning of robot kinematics aspects. Such content subjects in the RTU
programme is not, however, the robot kinematics intensively enough is taught in
subject "Robots kinematics", where are given definitions for terms such as
configuration space, the robot's degrees of freedom, relative coordinate systems,
etc., which form the theoretical foundations in industrial robotics. Thus, the relevant
subject's content is presented only partially;
Material science – such content subjects in the RTU programme is not, because
instead of them are taught subjects devoted to artificial intelligence and electrical
drives, thereby ensuring the appropriate RTU programme's specialization;
Industrial robotics – subject is dedicated to the industrial robot classification,
application characteristics, as well as their control bases. Part of the matter is taught
within RTU subject "Robot Kinematics", but it does not focus on the robot control;
Sensor technology – content of this subject is taught in RTU master programme;
Actuating elements – RTU programme includes many compulsory and limited choice
subjects that that significantly deeper cover actuators and their control dedicated
subject matter;
Operating systems and networks – RTU programme do not has compliant subject,
however, this matter is taught within master programme’s subjects “Embeded
systems” and “Modern Production Technologies”;
Control engineering and fieldbus – control aspects are viewed within subject “Linear
and Nonlinear Systems”. Specific technology - bus, data transmission protocols, etc.
are taught in master programme, as well as in “Modern Production Technologies”;
Robotics lab – RTU programme provides project, as well as most part of subjects
provide practical and laboratory works.
Process automation and visualization –subject content practically is viewed in course
"Robot systems modeling basics", which deals with the visualization and industrial
robot programming aspects. Aspects of automation are viewed in subjects
“Microprocessor Technique” and" Control Technique with Microprocessor
Controllers”;
Embedded systems - RTU programme do not has compliant subject, however, this
matter is taught within master programme’s subject “Embeded systems”;
Designing robotern – this is project type subject that deals with specific platform.
RTU programme does not have such subjects, because it is academic study’s
programme;
End effectors – subject is dedicated to actuators and drive elements. RTU
programme has many subjects dedicated to drive and actuators: “Introduction to
26
Electrical Drives”, “Traction Drives of Electrical Transport”, “Special Purposes
Electrical Machines”;
Automation of production and Operation and assembling technology –
corresponding subject matter is taught within subjects “Microprocessor Technique”
and" Control Technique with Microprocessor Controllers”;
Applied process and plant simulation – partly subject matter is viewed in subject
“Robot systems modeling basics”;
Mobile and service robotics – subjects of this type are considered as new in the
world and Europe. RTU programme includes subject “Basics of Autonomous and
Mobile Robotic Systems”.
As seen from the programmes comparison, programmes contents and credit points’
amount is very similar in fundamental robotics areas subjects, but – little different in
specializing subjects. It can be seen that in RTU programme more attention is paid to
fundamental subjects of engineering sciences, as well as for artificial intelligence usage
in robotics. Whereas TW programme more focus on industrial robotics and
manufacturing automation.
Both programs implement enough large section of humanitarian subjects, including
study subjects devoted to foreign languages, economics and management basics. Unlike
TW, RTU programme provides a limited choice subjects in the humanitarian, thus
allowing freer studies planning.
Significant differences are in bachelor thesis development order. TW programme
provides the development of bachelor thesis in two phases in 2nd and 3rd course spring
semesters, as well as to it is devoted the relatively large amount of credit points – 38
ECTS. Contrary to the RTU 15 ECTS is devoted to bachelor thesis.
Individual RTU subjects are not compliant at all, including "Sport Activity" and "Basics of
Communication" which in RTU are compulsory, but in TW programme are not included.
It should be emphasized that also fundamental part's subjects in the engineering
sciences are significantly more widely represented in the programme RTU, thus
emphasizing:
1) RTU programme’s academic orientation;
2) Programme’s consistency with the master's academic programme;
3) Consistency with other study programmes in engineering sciences, thus ensuring
greater students’ mobility that strongly specializing programmes.
27
6.4 Comparison to study programs in Latvia
6.4.1 Comparison to Latvia University of Agriculture academic study’s programme
Bachelor of “Information Technologies”
Reference: http://www.llu.lv/getfile.php?id=42279 (cited in 14.11.2011)
Below is shown the comparison between RTU programme and Latvia University of
Agriculture programme. Using continuous lines are indicated compliance with the
compulsory subjects, but with dashed lines is indicated compliance with the limited choice
(compulsory choice) subjects.
It should be emphasized that most of the compulsory subjects entirely match, because they
are the same subjects that is taught for several study programme's courses at the same
time. They are:
No. Subject CP
1. Mathematics 9 CP
2. Discrete Mathematics 2 CP
3. Probability Theory and Mathematical Statistics 2 CP
4. Physics 6 CP
5. Electrical Engineering and Electronics 2 CP
6. Random Processes 2CP
7. Object-Oriented Programming 3CP
8. Numerical Methods 2CP
9. Applied Software 2CP
In addition to mentioned, complete match is in choice block of the humanitarian and
economic sciences area. Consistency among all the other subjects are not as precise that
reflects study programme’s specialization in a certain direction.
Information Technologies (Latvia University of Agriculture)
Compliance Intelligent Robotic Systems (Riga Technical University)
CP Subject Subject CP
2 Computer Graphics Fundamentals of Computer Graphics
and Image Processing 2
4 Algorithms and data structures
Algorithmization and Programming of Solutions
5
Discrete Structures of Computer Science 3
3 Automation basics Robot control system development
project 2
Microprocessor Technique 3
Industrial robot control systems 2
2 Artificial Intelligence Fundamentals of Artificial Intelligence 3
4 Systems Modeling Robot systems modeling basics 3
8 Programming Object-Oriented Programming 3
The main differences are in study programmes amount, because programme's "Information
Technology" (IT) amount is 160 CP, but "Intelligent Robotic Systems" (IRS) amount is 120 CP.
Consequently, also duration of the programmes is different - according 3 and 4 academic
28
years. Therefore, the IT programme's specialization subjects' amount is significantly higher
than in the IRS programme. According to their specialization, IT programme emphasizes
software engineering direction, using such subjects as "Programming", "www technology,"
"Introduction to Computing", "Computer Networks", "Database Technology", "Multimedia
Technology", "Software Testing", etc.
Using the higher amount, in IT programme significantly emphasizes the direction of software
development, but the IRS programme focuses more on robot control and their electrical
engineering, electronic and mechanical bases.
In contrast to IT programme IRS programme includes groups and practical work stimulating
studies subjects: "Electrical Drives (Study Project)" and "Robot Control System Development
Project".
To provide the necessary basic knowledge in IRS programme a significant emphasis is put on
mechanics, which is basis for robot dynamics and control techniques. Thus, together with
devoted subjects for the electric drive area and control form a single mutually
complementary set of knowledge. This explains existing differences.
6.4.2 Comparison to Riga Technical University academic study’s programme Bachelor in
Automation and Computer Engineering
Reference: https://info.rtu.lv/rtupub/prg?ukNoteikId=2396 (cited in 14.11.2011)
Below is shown the comparison between programmes. Using continuous lines are indicated
compliance with the compulsory subjects, but with dashed lines is indicated compliance with
the limited choice (compulsory choice) subjects.
It should be emphasized that most of the compulsory subjects entirely match, because they
are the same subjects that is taught for several study programme's courses at the same
time. They are:
No. Subject CP 1. Mathematics 9 CP
2. Discrete Mathematics 2 CP
3. Probability Theory and Mathematical Statistics 2 CP
4. Physics 6 CP
5. General Chemistry 2 CP
6. Algorithmization and Programming of Solutions 5 CP
7. Civil Defence 1 CP
8. Electrical Engineering and Electronics 2 CP
9. Fundamentals of Computer Graphics and Image Processing 2 CP
10. Discrete Structures of Computer Science 3CP
11. Random Processes 2CP
12. Object-Oriented Programming 3CP
13. Numerical Methods 2CP
14. Fundamentals of Artificial Intelligence 3CP
15. Applied Software 2CP
16. Sport Activity 0CP
17. Introduction to Study Field 1CP
18. Microprocessor Technique 3CP
29
In addition to mentioned, complete match is in choice block of the humanitarian and
economic sciences area. Consistency among all the other subjects are not as precise that
reflects study programme’s specialization in a certain direction.
Automation and Computer Engineering (Riga Technical University)
Compliance Intelligent Robotic Systems (Riga Technical University)
CP Subject Subject CP
3 Basics of Computer Simulation and Modelling
Robot systems modeling basics 3
3 Introduction to Computer Architecture
Microprocessor Technique 3
2 Fundamentals of Automation Industrial robot control systems 2
Robot control system
development project 2
2 Introduction to Intelligent Systems Logical Foundations of Intelligent
Robots 2
Basics of Autonomous and Mobile
Robotic Systems 2
2 Computer Control Systems in Production
4 Control Systems of Robots Control Technique with
Microprocessor Controllers 3
2 Microcircuit Technology Introduction to Digital Electronics 3 2 Digital Measurement Technique 2 Final Control Elements for Automatic
Systems Electrical Drives (Study Project)
2
Electric Drive of Robots 2
Although both study programmes are realized in the same faculty, their amount and
specialization are different. Programme's „Automation and Computer Engineering" (ACE)
amount is 122 CP, but "Intelligent Robotic Systems" (IRS) amount is 120 CP. ACE specializes
in computer graphics and automation directions, but IRS focuses more on robot control and
robot hardware.
Therefore, industrial automation, as well as in the basic subjects are many similarities.
According to programme's name IRS holds a focus on artificial intelligence techniques usage
in the field of industrial robotics.
In contrast to ACE programme IRS programme includes groups and practical work
stimulating studies subjects: "Electrical Drives (Study Project)" and "Robot Control System
Development Project".
To provide the necessary basic knowledge in IRS programme a significant emphasis is put on
mechanics, which is basis for robot dynamics and control techniques. Thus, together with
devoted subjects for the electric drive area and control form a single mutually
complementary set of knowledge. This explains existing differences.
Overall, after study program comparison with other programmes, it can be concluded that
the programme "Intelligent Robotic Systems" is a modern and follows the latest trends
outside the Latvia, as well as is specific enough in Latvia to say that there is a well-defined
place among another studies programmes’ in engineering.
30
7 Students
7.1 General information about the students
In both study years are admitted 11 students fully using states granted budget places. In the
first year was admitted also one paying student, who after first semester did not continue
studies, because of unsatisfactory grades and attendance.
Thanks to the good grades in each study course students have got state scholarships.
Currently in 2nd course are 7 students, i.e. together in programme are 18 active students
and 4 have left the studies in RTU. All, who have left studies, have been dropout for poor
grades.
Most part of the students are involved in robotics activities in free time of the studies by
visiting robotics workshops that are organized for free by participating master and doctoral
students of RTU.
One of the students are involved in cooperation project with the University of Tartu –
project “ICT-DCNet”, whose aim is to popularize engineering sciences, attract students to
robotics, and to improve study programmes by synchronizing them with the University of
Tartu.
Many 2nd course students actively participate in organizing open robotics workshop by
assisting to their supervisors.
Has been signed a contract with the Investment and Development Agency of Latvia (IDAL) on
technical innovative day organization in Latvia during the next 3 years. In the
implementation of the project will be actively involved students by helping to motivate
potential students for studies in RTU.
Relatively small number of students can be explained by the specific of the study
programme and with studies direction's little experience in Europe and Latvia, i.e. there are
only few similar programmes, for which can be obtained wide range of information.
Study year Enrolled Dropout On academic vacation Graduated
2010/2011 11 4 0 0
2011/2012 11 0 0 0
For next few years is expected to increase number of students due to intensive information
campaign within previously mentioned cooperation project ICT-DCNet, as well as with the
technical innovation day and via open workshops.
31
7.2 Number of dropout students on the first study year
Currently 4 students are dropout because of unsatisfactory grades and attendance.
Nevertheless, the relative number of dropout students is below the average in other study
programmes.
7.3 Number of graduates
There are no graduates from the program yet. We expect 7 graduates in summer of 2012
and 8 graduates in 2013. Number of graduates after 2013 certainly increases, because
currently within the cooperation project with the University of Tartu is planned informative
campaign that will attract a greater number of students.
7.4 Students’ surveys and their analysis
Student surveys are done regularly (at the end of each semester) in the ORTUS environment.
The results below are acquired by organizing student survey in study system ORTUS. Such
surveys are conducted about each study course after each semester. Taking into account
that the study programme is being implemented only two years, the survey results are
acquired from current second year students about the study subjects of first year.
Surveys are part of the Riga Technical University study process quality management system.
The results of the surveys are available to teachers and study programme director. Below
the data from surveys and appropriate comments are represented.
Lecturer introduced the subject programme, expected outcomes and assessment methods
0
1
2
3
4
5
6
7Mathematics I
Descriptive Geometry and Engineering Graphics
Introduction to Study Field
Algorithmization and Programming of Solutions I
Civil Defense
Sport
Applied Software
Mathematics II
Basics of Communication
General Chemistry
Physics
Electrical Engineering and Electronics
Algorithmization and Programming of Solutions II
32
Lecturer covered all of the topics and used time efficiently
Lecture topics were well structured and covered understandably
0
1
2
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Lecturer was well prepared
Lecturer effectively used audio visual tools
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Lecturer's speech was clear and understandable
The recommended literature was available and helped to learn the subject
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Descriptive Geometry and Engineering Graphics
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Lecturer was available for consultations
Lecturer attended lectures without significant delays
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Algorithmization and Programming of Solutions II
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Study materials were available in e-learning environment
The covered topics were not overlapping with other subjects
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Descriptive Geometry and Engineering Graphics
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Chart Title
Mathematics I
Descriptive Geometry and Engineering Graphics
Introduction to Study Field
Algorithmization and Programming of Solutions I
Civil Defense
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Mathematics II
Basics of Communication
General Chemistry
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Electrical Engineering and Electronics
Algorithmization and Programming of Solutions II
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Which part of the lectures have you attend
7.5 Graduates’ surveys and their analysis
The study programme has no graduates yet. There is an aim to keep continuous and close
cooperation with graduates by getting from them feedback, learning from their professional
experience, and offering possibilities to continue education.
7.6 Students’ participation in the study process improvement
The involvement of students has several mechanisms:
1) The regular surveys of students about study courses in each semesters that give a
significant feedback to the lecturers, study programme director, vice dean in the
study work and vice rector of the studies. In this way the study process is directly
influenced. In the surveys the commentaries of free form can also be written. It
allows the students to give their own suggestions.
2) Student petition mechanism is enacted in RTU that allows the students to give their
suggestions or complaints about the implementation of study process by
anonymously filling a form. The form is then submitted in Student Parliament that
operates as a mediator and represents the interests of the student. Thanks to this
mechanism there have already been changes in study course contents and
implementation process.
3) Direct student submissions to vice dean in study work that allows making
complaints, suggestions and proposals for study process quality improvement or
elimination of shortcomings directly without mediators.
0
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2
3
4
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6
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Chart Title
Mathematics I
Descriptive Geometry and Engineering Graphics
Introduction to Study Field
Algorithmization and Programming of Solutions I
Civil Defense
Sport
Applied Software
Mathematics II
Basics of Communication
General Chemistry
Physics
Electrical Engineering and Electronics
Algorithmization and Programming of Solutions II
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4) The discussions of lecturers with students during the implementation of the course
that allows modifying the course during implementation. A good example is new
programme's courses "Robot systems modeling basics" as well as others whose
content is being actively adapted to existing situation in course.
8 Assessment/evaluation of the study programme’s academic
personnel
8.1 General information about the academic personnel
The information about the personnel is amalgamated in following Table:
No. Name, surname Have PhD Basic employment in RTU
1. Dr.habil.sc.ing. Jānis Grundspeņķis
+ Professor (elected)
2. Dr.habil.sc.ing Lenoīds Ribickis + Rector
3. Dr.sc.ing. Iļja Galkins + Professor (elected)
4. Dr.sc.ing Viesturs Bražis + Lead Researcher (elected)
5. Dr.sc.ing Elmārs Beķeris + Assoc. professor (elected)
6. Dr.sc.ing Kārlis Ketners + Professor (elected)
7. Dr.sc.ing. Ņikita Nadežņikovs + Assoc. professor (elected)
8. Dr.sc.ing. Marija Iltiņa + Docent (elected)
9. Dr.sc.ing Modris Dobelis + Professor (elected)
10. Dr.sc.ing Agris Ņikitenko + Docent (elected)
11. Dr.habil.sc.ing Zigurds Markovičs + Professor (elected)
12. Dr.habil.sc.ing. Anatolijs Jemeļjanovs
+ Professor (elected)
13. Dr.paed. Viktors Bonders + Assoc. professor
14. Dr.sc.ing Vjačeslavs Šitikovs + Assoc. professor
15. Dr.soc.Gunārs Ozolzīle + Assoc. professor
16. Sandra Gudzuka - Docent (pract.)
17. Dr.oec. Ronalds Taraškēvičs + Professor (elected)
18. Dr.oec. Elīna Gaile-Sarkane + Professor (elected)
19. Dr.oec. Jānis Zvanītājs + Professor (elected)
20. Dr.oec. Zoja Sundukova + Assoc. professor
21. Dr.philol. Larisa Iļjinska + Assoc. professor
22. Ludmila Derkača - Lecturer
23. Valentīna Lauzniece - Lecturer
24. Ilona Dzenīte + Docent
25. Dr.habil.chem. Valdis Kampars + Professor (elected)
26. Dr.math. Inta Volodko + Professor (elected)
27. Dr.habil.phys.Artūrs Medvits + Professor (elected)
28. Dr.sc.ing. Jurijs Lavendels + Professor (elected)
29. Dr.habil.sc.ing. Aleksandrs Glazs + Professor (elected)
30. Dr.sc.ing. Ilmārs Iltiņš + Assoc. professor
31. Dr.math. Jevgēnijs Carkovs + Lead Researcher (elected)
32. Dr.math. Kārlis Šadurskis + Professor (elected)
33. Dr.habil.sc.ing. Jānis Vība + Professor (elected)
34. Dr.sc.ing Uldis Sukovskis + Vice-Rector for Academic Affairs
35. Dr.habil.sc.comp. Valerijs Zagurskis + Assoc. professor (elected)
36. Dr.oec. Ludmila Vasiļjeva + Assoc. professor
37. Dr.oec. Liena Adamsone + Lead Researcher
39
No. Name, surname Have PhD Basic employment in RTU
38. Dr.habil.sc.ing. Ivars Raņķis + Professor (elected)
Academic personnel with doctor degree:
Total Number of Conductors
With habilitate doctor degree
With doctor degree
Together with doctor degree
Total (%)
38 10 25 35 92%
Basic employment at RTU and elected:
Total Number of Conductors
Basic employment at
RTU
Basic employment at
RTU elected
Basic employment at
RTU (%)
Basic employment at RTU elected (%)
38 38 24 100% 63%
Academic positions at RTU (elected):
Total Number of Teaching Staff
Professors Assoc. professor Docent Others
38 15 4 2 3
8.2 Academic personnel qualification’s compliance with the objectives
Study programme has a specific place in the field of engineering - robotics that essentially
combines three different areas: mechanics, electronics and software development.
Therefore it makes the implementation of the programme relatively more complicated from
an organizational point of view, as well as from the studying point of view.
Neither RTU nor other Latvian universities has a department that would be capable of
providing the knowledge and skills of all three key areas. Given the RTU vast experience in
the field of engineering, by combining the knowledge of three faculties, it is able to provide
the necessary knowledge and skills. To achieve this, within the study programme several
institutions cooperate to provide specific areas of expertise:
Department of Systems Theory and Design, Faculty of Computer Science and Information Technology, RTU
Department of technology of computer networks and systems, Faculty of Computer Science and Information Technology, RTU
Department of Engineering mathematics, Faculty of Computer Science and Information Technology, RTU
Institute of Power Electronics and Electrical Engineering, Faculty of Power and Electrical Engineering , RTU
Department of Theoretical Mechanics, Faculty of Transport and Mechanical Engineering, RTU
As mentioned above 92% of all academic staff has a doctor degree, 29% of them has a
habilitate doctor degree degrees. Whole academic staff is active in science, study process
administration, as well as other organizational activities. This reflects the high academic
qualifications of academic personnel and its compliance with the study objectives.
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8.3 Academic personnel’s policy for the next 6 years
Despite the fact that currently the academic staff is highly professional and experienced, in
the course of the next six years part of the experienced teachers will possibly go on
retirement. Therefore an active work must be done to involve younger employees in the
implementation of study programme.
In addition there is a need to attract lecturers from other universities, as well as engage the
existing staff in the implementation of prestigious foreign university programmes. The main
focus will be put on expansion of the existing co-operation with the University of Tartu to
ensure regular exchange of lecturers and students, and in due time offering module type
studies in English.
This is part of the RTU and Institute of Applied Computer Systems improvement policy.
The main short term personnel development activities are the following:
To continue working with the existing staff, that is experienced, professional and
active in science, as long as possible, thus facilitating the improvement of both
students and the younger staff;
To facilitate the involvement of young employees in the study programme
implementation, by offering them to organize the practical, laboratory and study
work, as well as to actively participate in the improvement of the course contents;
To expand the existing cooperation with foreign educational institutions;
To gradually switch to studies in English and to introduce the module type studies,
that would also contribute to staff development and professional growth;
9 Financing sources and provision of the infrastructure
The study programme has received budget places according to the existing order in RTU.
According to it, the departments that implement the study programme are funded according
to their contribution (number of hours) in the programme implementation. Tuition fees that
are received for paid studies are also divided between departments according to the
contribution.
The funding for attracting the students, as well as for the exchange of experience with the University of Tartu has been received from the Interreg collaboration project in Est-Lat programme "ICT-DCNet". It provides the necessary funds for balancing process of the programmes and publicity. The material technical base accessible for students is indicated in the Appendix 1. In addition
to that, the students have access to the RTU Scientific Library, which provides access to
literature, international scientific papers and monographs, thus allowing qualitatively
improving their skills and engaging in scientific work.
The study programme is implemented by departments listed below by using equipment
accessible to them:
Department of Systems Theory and Design, Faculty of Computer Science and Information Technology, RTU
Department of technology of computer networks and systems, Faculty of Computer Science and Information Technology, RTU
41
Department of Engineering mathematics, Faculty of Computer Science and Information Technology, RTU
Institute of Power Electronics and Electrical Engineering, Faculty of Power and Electrical Engineering , RTU
Department of Theoretical Mechanics, Faculty of Transport and Mechanical Engineering, RTU
Department of Occupational and Civil Defence, Faculty of Engineering Economics and Management, RTU
Department of Entrepreneurship and Human Resources Management, Faculty of Engineering Economics and Management, RTU
Department of Organisation of Production and Entrepreneurship, Faculty of Engineering Economics and Management, RTU
Department of Economics of Production and Entrepreneurship, Faculty of Engineering Economics and Management, RTU
Department of Social Science, Humanitarian Institute, RTU
10 External relations
10.1 Collaboration with employers
Currently, the study programme is involved with the following cooperation partners:
Latvian IT Cluster (unites Latvian IT sector companies operating in export markets) is
a partner in the project "ICT-DCNet". In this partnership also another project has
been submitted - Interreg Northern Region co-operation project for the
Development and improvement of E-learning environment.
iRobot representative in Latvia SIA “Terra Virtuala” is a partner in the ERDF co-
financed research project "Development of intelligent multiagent robotics system
technology". Together with this enterprise robotics competition “Robotika” as well
as motivational and educational seminars for students are organized each year. In
addition, a contract is signed about the definition of topics and development of
thesis.
ABB Latvija has delivered and installed an industrial robot, as well as performed staff
training at a reduced price in the context of cooperation.
„Arcus electronika” has set up SCADA and system design samples, as well as
automation stands for the learning of the technology in the study process.
Thanks to the successful cooperation in public events, a special price treatment is
obtained for the purchase of the necessary components for student work from
enterprises SIA “Argus”, YEInternational and others. These enterprises are regular
supporters of robotics competitions and their support motivates both the involved
staff and participating students.
Association “Robotikas klubs” and association “Studentu parlaments” jointly with
the students have organized the Technical Innovation days for the past two years.
The sponsor of the event is the Latvian Investment and Development Agency. In the
november 2011 a three year duration cooperation contract was signed, thus clearly
42
indicating the mutual interest of both promoting the engineering as a whole and
attracting the students to the particular study programmes.
SIA Novakontus - a second level project application for the ERDF activity 2.1.1.3.1
about the development of simulation center in Latvia was jointly submitted.
SIA DEAC - a second level project application for the ERDF activity 2.1.1.3.1 about
the development of High Performance Computing center in Latvia was jointly
submitted.
10.2 Collaboration with other universities
The key cooperation partners are:
University of Tartu (Estonia): Together the above mentioned cooperation project
“ICT DCNET” is being implemented to attract the students and to improve the study
programmes in the field of robotics and electronics. In parallel, a joint application for
Interreg project (project application will be considered at the beginning of year
2012) has been submitted. Within the project joint robotic seminars in Latvia and
Estonia are being organized and an intensive exchange of experience is being carried
out.
University of Rostock (Germany): a project supported by the Baltic-German
Universities Development Office “Summer School” has been jointly implemented.
Thanks to the good co-operation it has been decided to implement a similar project
next year. Project funders have stressed that this has been one of the best realized
and documented projects.
Ventspils University, University of Latvia and the Institute of Electronics and
Computer Science: partners in the creation of the National Research Centre within
the ERDF 2.1.1.3.1 activity.
Latvian University of Agriculture: Together the ERDF project "Development of
intelligent multiagent robotics system technology" implementation is being carried
out.
11 Continuation of studies in the case of study programme
cancellation
The faculty of Computer Science and Information Technology, RTU approves that if
Intelligent Robotic Systems (DBR0) is cancelled students will be able to continue their studies
in study programme Computer Systems (DBD0) (Appendix 2).
12 Development plan of the study programme
12.1 SWOT analysis
S W
The programme is modern and corresponds to the newest trends in industrial automation and robotics;
Relatively small count of students;
A lot of new study courses, that have never been taught in Latvia before;
43
Students evaluate the programme mostly positively and highly;
Well developed and highly utilized material technical base;
Highly qualified and experienced academic personnel;
Intensive international cooperation in scientific and study programme improvement sense;
The cooperation of different departments facilitates the improvement of academic personnel;
Programme is being popularized in large part of Latvia together with academic bachelor study programme;
Programme requires a complicated planning, because the personnel from several departments is involved. Sometimes it causes inconvenient study schedule;
There are relatively few robotics production enterprises in Latvia - there are a lot of enterprises that services corresponding automation devices. Therefore it is much harder to motivate students than in other fields, for example, in IT.
Programme is more complicated than other master level programmes because several specializing courses include a lot of specific mathematic methods. Therefore students require a special motivation;
O T
To organize programme popularizing events more often and to organize events for student motivation;
To extend the material technical base of studies;
To increase the international cooperation and cooperation with Latvian enterprises to additionally motivate the personnel and students, as well as to attract the funds for the implementation of the programme;
Continue to motivate current students with an active collaboration between bachelor and master students, such interesting to study harder;
To popularize more actively scientific achievements in robotics that would motivate the students to choose this study programme.
The complexity of study programme can cause the insufficient count of students for successful development of the study programme in future;
The decrease in government funding or the change of funding form can significantly reduce the count of students in the programme or even stop the programme;
The “generation change” of personnel is still slow that can cause the lack of lecturers in the next 5-10 years.
12.2 Activities for development of the study programme for the next 6 years
No. Tasks Deadline/indicator
1. After accreditation, continue cooperation with the University of Tartu, and regularly host students from later courses in Latvia.
Since 2014 autumn, at least 5 students from Estonia
2. Attract EU funding for further program development.
In year 2012/2013 one cooperation project for several years
3. From 2013 obtain funding for programme's active promotion in Latvian schools, using the open robot building workshops for pupils. It should be emphasized that, until now, there was not a regular source of funding.
From 2013 ensure at least 25 students every year.
4. Realize most part of specializing subjects in English. 2013. – 2015.
44
5. Study subject of one semester organize in a module form and gradually move to the module type programme's organization.
2014. – 2016.
45
Appendixes
1. Appendix – Materially technical basis / Laboratory (See Latvian documentation)
2. Appendix –Evidence of the possibility to transfer to another study programme in the
case of study programme’s cancellation (See Latvian documentation)
3. Appendix –List of the academic personnel which is involved in the study process (See
Latvian documentation)
4. Appendix –CV Curriculum Vitae (CV) of the academic personnel
5. Appendix – Descriptions of the study programme’s subjects
6. Appendix –List of the study programme’s subjects and responsible instructors (See
Latvian documentation)
7. Appendix –Summary of the academic personnel’s scientific activities (See Latvian
documentation)
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Appendix 4 –CV Curriculum Vitae (CV) of the academic
personnel
47
Personal Data
Name surname Agris Nikitenko
Age 33
Gender male
Family status married
Education/ scientific affiliations
2006 Dr.ing.sc. Thesis title: “Development and implementation of hybrid intelligent
systems”
Practical part included developed robotic system.
2001 Mg.ing.sc Thesis title: “Hybrid intelligent systems”
1998 Bc.ing.sc. Thesis title: “Qualitative reasoning systems”
1995 Riga secondary school Nr.84
Courses
December 2008 Microsoft SharePoint administration 70-630
October 2007 Courses for PhD supervisors, Sagaadi, Estonia
June 2004 Labor safety courses. License num. 218
August 2002 Safety of Electric installation and appliances, exploitation rules. 3rd
category, license
num 1024.
June 2001 Dry construction. Certificate num. 0039
January 2001 „R&V” Ltd. English language courses. Advanced level – B (assessment)
Awards
2008. Acknowledgement of Riga Technical University for significant contribution in its
development.
2007. Acknowledgement for supervision of the best bachelor thesis of the year.
2007. Acknowledgement for supervision of the best master thesis of the year.
2006. Siemens award for the best PhD thesis of the year in Latvia.
Society
Since 2007 ACM member
Since 2007 IEEE member
Since 2006 RTU labor union member
Professional experience
2009. - .......... Vice dean of study affairs, Riga Technical university, Faculty of computer science and
information technology,
2006. - .......... Docent, Riga Technical university, Faculty of computer science and information
technology, Department of systems theory and design
Main Latvian projects:
Development of adaptive intelligent training and learning object system – project manager, ZP-2009/16
MoD funded project “Alkmaar class mine hunting simulation system development and implementation” - project manager, AM 2007 – 227
MoD funded project “Development of autonomous robotic platform” – project maanger AM 2007 – 052
„Development of autonomous robotic platform” – senior scientist, ZP 2007/07
„Development of intelligent plagiarism detection system” – researcher ZP 2006/06
„ Development of structure of autonomous intelligent system for operation in
48
complex environments” project manager ZP2006/04 Main international project:
FP7 project ERA-NET ICT-AGRI, Latvian team coordinator assistant
FP7 project BONITA responsible for Latvian demo center’s robotic system.
ICT-DcNET - ERDF supported project - researcher
“Development of multiagent robotic system technology” ERDF supported project – project manager;
“Development of intelligent smart grid control system” ERDF supported project – researcher;
2008. Project evaluation expert in Latvian Ministryof Econominc
2008. Project evaluation expert in Latvian agency of investments and development
2002 – 2007. “ZZDats” Ltd. System analyst and project manager
Main projects:
Implementation of e-services in Riga city council – system analyst.
Riga city council mobile GIS development – project manager;
Riga city council unified IS current state assessment in cooperation with Microsoft Latvia Inc.
State agency “Household agency” – Household monitoring system development – project manager;
State agency “Household agency” – Household monitoring system specification development – project manager;
Riga city council GIS interface development with other systems – project manager;
Riga city council e-services specification development – system analyst;
2005. – 2006. Scientific assistant in Riga Technical university, Faculty of computer science and
information technology, Department of systems theory and design.
1999 - 2002 “Balta” Ltd. IT specialist and system administrator (1 domain server + 1 net server + 27
workstations)
Responsible for inner IT systems development
1999 - .... “Rembox” Ltd. IT specialist and systems developer.
1997 - 1999 “Rembox” Ltd. Construction team leader.
Languages Spoken Comprehension Written
Latvian Native Native Native
Russian Very good Very good Good
English Very good Very good Very good
Programming languages Skill level Experience
Delphi Professionally 8 years
SQL Professionally 8 years
PL/SQL Very good 3 years
VBA Very good 2 years
HTML, Vbscript, Javascript Very good 1 years
Assambler Good -
Pascal Good -
Prolog Good -
C / C++ Good 3,0 years
C # Professionally 4.0 years
XML Good 2,5 years
Basic X Good 2,5 years
49
Visual Basic .NET Good 2,5 years
Operating systems Skill level User Experience Administration Experience
Windows 7.0 Professionally 0,5 years 0,5 years
Windows NT server Professionally 3 years 3 years
Windows 2000 Professionally 4 years 4 years
Windows 9.x Professionally 3 years 3 years
Windows XP Professionally 5 years 5 years
MS DOS 6.x Very Good 1 year -
Social activities
2009. Organizing chair of ADBIS 2009 international scientific conference
2009. - ..... Representative of Latvian Academy of Sciences in FP7 project ICT-Agri
2009. - ..... NATO RTO, AVT panel Latvian representative and panel member
2008. - .... Coordinator of Baltic robot competitions (www.balticrobotsumo.org);
2007. - ... IADIS conference series program committee member
2007. - ..... Coordinator of Latvian robotic contest (www.robotika.lv );
2007. Coordinator of Robotic club of Riga Technical University;
Scientific Publications
1. A.Nikitenko, J. Grundspenkis, Combining of inductive, deductive and case-based reasoning: towards
the development of hybrid intelligent system. Scientific Proceedings of Riga Technical University: 5th
series “Computer science, Applied Computer Systems”, Riga, RTU Publishing, 2001, Vol. 8, p. 116 – 123.
2. A.Nikitenko, J.Grundspenkis, The kernel of hybrid intelligent system based on inductive, deductive and
case based reasoning. KDS2001 Conference Proceedings, St. Petersburg, 2001, p. 138. – 146.
3.
A.Nikitenko, The structure of an intelligent system for complex environments. Proceedings of Riga
Technical University: 5th series “Computer science, Applied Computer Systems (Special Issue)”,
Doctoral consortium, The 11th
International Conference on Information Systems Development, Riga,
RTU Publishing, 2002, Vol. 9, p. 46 - 52.
4. A.Nikitenko, Inductive reasoning algorithms from the perspective of autonomous intelligent systems.
Scientific Proceedings of Riga Technical University: 5th series “Computer science, Information
Technology and Management Science”, Riga, RTU Publishing, 2003, Vol. 14, p. 10 – 17.
5. A.Nikitenko, A proposed structure for knowledge based hybrid intelligent systems for sophisticated
environments. Varna, Bulgaria, KDS 2003 Conference Proceedings, 2003, Vol. 1, p. 25 – 31.
6. A.Nikitenko, Robot Control Using Inductive, Deductive and Case Based Reasoning. Varna, Bulgaria, KDS
2005 conference proceedings, 2005, Vol. 2, p. 418 - 427.
7. A.Nikitenko, Intelligent Agent Control Using Inductive, Dedudctive and Case Based Reasoning. Riga,
Latvia, ECMS 2005 Conference Proceedings, 2005, p. 486 - 492.
8. A.Nikitenko, Autonomous intelligent agent control in complex environments, Barcelona, Spain, EMSS
2006 Conference Proceedings, 2006, p 251 – 260.
9. A.Nikitenko, Knowledge-based robot control, Varna, Bulgaria, KDS 2007 Conference proceedings,
2007, vol. 2, p.487 – 500.
10. A.Nikitenko, Autonomous robot navigation using knowledge-based control unit, Tallinn, Estonia, REM
2007 Workshop proceedings, 2007, p. 93. – 98.
11. L.Sudraba, A.Nikitenko, „Application of mapping methods for solving navigation tasks of autonomous
intelligent system„ – referāts RTU 48. starptautiskajā konferencē, Rīgā, 2007. gada oktobrī
12. A.Nikitenko, „Autonoma robota modelis” Militārais apskats, nr. 3/4, 2008. gada decembris, 89. – 96.
lpp.
50
13. M.Vanags, A.Nikitenko, M.Ekmanis, I.Andersone, I.Birzniece, G.Kulikovskis „Service oriented mine
hunting classroom simulation system” proceedings of the 4th International scientific conference on
Applied information and communication technologies, p. 95. – 101., Jelgava, Latvia, 2010.
14. A.Nikitenko, G.Kulikovskis, „Eight wheel robotic platform and its Fuzzy control system” proceedings of
International conference on automation, robotics and control systems, p. 16. – 23. Orlando, USA, 2010.
Exhibitions and other publications
1. October 2008. „Baltic defense and industry”, Tartu, Estonia – stand demonstrations
2. September 2009. „Baltic defense and industry”, Riga, Latvia – demonstration of project results
3. 2009. and 2010. Exhibition of Latvian new and innovative technologies – poster sessions.
Patents
1. Latvian patent application P-07-73 since 27.06.2007. „Eight wheel robotic platform” Patent Nr.
LV13866, Published 20.05.2009.
2. Latvian patent application P-09-118 since 29.06.2009. „Tracked robotics platform with moving track
segment” Patent Nr. LV14016B, Published 20.01.2010
3. Latvian patent application P-09-119 since 29.06.2009. „ Eight wheel robotic platform with tracks”.
Patent Nr. LV14017B, Published 20.01.2010
4. Latvian patent application P-11-100 since 21.07.2011. „ Eight wheel robotic platform with low chassis
rotation centers”
5. Latvian patent application P-11-101 since21.07.2011. „ Eight wheel robotic platform with additional
springs”.
Supervised master thesis
1. Ilze Andersone “Closed space exploration with multiple robots”
2. Ilze Birzniece „Use of inductive methods for object recognition”
3. Aivis Buss „Investigation of robots SLMA methods”
4. Oskars Gavrisevs „Topic information web search based on ontologies”
5. Agnis Melits „Service – oriented architectures for robot control”
6. Ivo Melkus „Latvian handwritten letter recognition using hybrid intelligent system”
7. Jelena Girdo „Design of personal training system for CMMI 3rd
level certificate acquisition after ISO
9001:2008”
Supervised PhD thesis
1. Ilze Andersone „Development and implementation of hybrid map fusion mechanism”
2. Aivis Buss „Development of self-localization mechanism for multi robotic system”
Supervised study courses
1. Windows Workflow Foundation technology basic
2. Intelligent system design methods
3. Fundamentals of autonomous robotic systems
4. Robot control system development project
5. Machine learning
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6. Intelligent robot motions planning
7. Autonomous systems and robots
8. Fundamentals of robot modelling
9. Data mining
10. Modern robotic systems
11. Programming Microsoft Office SharePoint
Supervised study programs
1. “Intelligent robotic systems” – bachelor level
2. “Intelligent robotic systems” – master level
A.Ņikitenko ___________________
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LIFE AND WORKING ACTIVITIES
PERSONAL DETAILS: ______
Name: Viktors Bonders
Info: associate professor of RTU
Age: 57
Birth-date: 1954. gada 12. decembris
Gender: Male
Birth-place Latvia
Inhabitation: Remberģu 11, Ādaži
RAISING OF QUALIfFICATION ______
29.03. – 03.07. and 24. – 27.10.1998. in Tartu and Kaunas „Miometrical diagnostic”
(certificate Nr. 1113)
01. - 04.03.2006. International trainer seminar (in Moscow)
SCIENTIFIC DEGREES ______
Doctor of sports pedagogy, G – D Nr. 000037, spec. physical education
THESIS' TOPIC _______
“The biomechanics in sports”
“Sport pedagogy”
LANGUAGES
Russian – mother tongue
Latvian – fluent
German – good
PUBLICATIONS
Total number of main international publications: 4
Total number of scientific articles: 17
PEDAGOGICAL WORK
Practical activity: athletic trainer
Pedagogical work: associate professor of RTU
OTHER INFORMATION ________
Activities: head of Sport department
athletics councillor of Riga Council sports department
LASS member of the board
LVS member of the board
V. Bonders
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Curiculum vitae
1. Given name, surname: Viesturs Bražis 2. Personal ID: 200876 - 10504 3. Place of birth: Dobele, Latvija 4. Home address: Kalētu iela 20, Rīga, LV-1004 5. Place of occupation: Riga Technical university (RTU), Faculty of Power and
Electrical Engineering, Institute of Industrial electronics and electrotechnics, Kronvalda bulv. 1-207, LV1050
6. E-mail: [email protected] 7. Phone: 67089915 8. Educational qualifications: 2000-2005 RTU, Institute of Industrial electronics
and electrotechnics, Dr.Sc.ing. Degree
1997-2000 RTU, Institute of Industrial electronics
and drives, Master’s Degree;
1994-1997 RTU, Institute of Industrial electronics
and drives, Bachelor’s Degree;
1991-1994 Riga Secondary Shift School No. 9;
1982-1991 Dobele 1st Secondary School.
9. Work experience: 2009 - RTU, Institute of Industrial electronics and
electrotechnics - Associated profesor;
2006-2009 RTU, Institute of Industrial electronics and
electrotechnics - Docent;
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2006 - RTU, Institute of Industrial electronics and
electrotechnics – Senior researcher;
2000-2006 RTU, Institute of Industrial electronics and
electrotechnics - Assistant;
10. Educational experience: Basic Electrotechnology and Electric Supply.
Basics of Regulation Theory.
Basics of Production Systems Automation.
Design of Power Electronics Systems.
11. Scientific activities and interests: Electrical drive and automation 12. Publications:
1. Brazis V., Zaleskis G., Latkovskis L., Grigans L. Traction drive load simulator
// Proceedings of The 52nd Annual International Scientific Conference of Riga
Technical University on Power and Electrical Engineering - Riga, Latvia: 14
October 2011. – R11010403 on CD-ROM.
2. Brazis V., Zaleskis G., Latkovskis L., Grigans L., Sirmelis U. Simulation of
the Light Railway Traction Drive with Energy Storage System // Proceedings
of The 52nd Annual International Scientific Conference of Riga Technical
University on Power and Electrical Engineering - Riga, Latvia: 14 October
2011. – R11010404 on CD-ROM.
3. Brazis V., Latkovskis L., Grigans L. Simulation of trolleybus traction
induction drive with supercapacitor energy storage system// “Latvian journal
of physics and technical sciences”. – 2010. – issue 5. (vol.47)–p. 33.-47.
4. Latkovskis L., Brazis V. and Grigans L. Simulation of On-Board
Supercapacitor Energy Storage System for Tatra T3A Type Tramcars. Chapter
14 in the In-tech book „Modeling, Simulation and Optimization”. - Vienna,
2010, pp. 307-330.
5. Antonovičs U., Bražis V., Greivulis J. The Mechanical Transient Process At
Asynchronous Motor Oscillating Mode // RTU zinātniskie raksti. 4. sēr.,
Enerģētika un elektrotehnika. - 25. sēj. (2009), 23.-26. lpp.
6. Brazis V., Gorobetz M., Latkovskis L., Grigans L., Levchenkov A.
Optimization Of Energy Consumption For Light Rail Electric Transport With
Supercapacitor System Using Neural Network Controllers// Proceedings of
ITELMS 2009, –Panevėžys, KTU, 4-5 June 2009, - p. 118.-126.
7. Bražis V., Greivulis J. Application Of Supercapacitor Energy Storage Devices
In Induction Drives// Proceedings of 8th
International Scientific Conference
„Engineering for Rural Development” –Jelgava: LLU, 2009. - p.328.-333.
8. Бражис В.Э., Грейвулис Я.П., Рыбицкис Л.С. Устройство пуска тягового
двигателя постоянного тока с сверхконденсаторным накопителем//
«Высокие технологии, фундаментальные и прикладные исследования,
промышленность». Сб. трудов шестой международной научно-
практической конференции «Исследование, разработка и применение
высоких технологий в промышленности» -Санкт-Петербург:
Издательство Политехнического университета, 2008. – с. 244.-249.
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9. Bražis V., Greivulis J. The Application Of Supercapacitor Energy Storage Devices In
DC Drives// Proceedings of 7th International Scientific Conference „Engineering for
Rural Development” –Jelgava: LLU, 2008. - p.76.-80. 10. Latkovskis L., Bražis V. Simulation of regenerative energy storage with
supercapacitors in Tatra T3A type trams // Proceedings of 10th International
Conference on Computer Modelling and Simulation Eurosim/UKSim2008. -2008.-
p.398.-403. 11. Bražis V., Greivulis J. Ieskats žurnāla „Baltijas elektrotehnika” vēsturē//
“Humanitārās un sociālās zinātnes”, 8. sēr., 13. sēj. – Rīga: RTU, 2008. – 112.-115.
lpp. 12. Latkovskis L., Bražis V. Application of supercapacitors for storage of
regenerative energy in T3A tramcars// “Latvian journal of physics and
technical sciences”. – 2007. – issue 5.–p. 23.-33.
13. Bražis V., Greivulis J. Asinhronā elektropiedziņa ar pieres daļas tinumu
kondensatoru bremzēšanas režīmā// “Enerģētika un elektrotehnika”, 4. sēr., 20.
sēj. – Rīga: RTU, 2007. – 158.-163. lpp.
14. Bražis V., Greivulis J., Faļkovs V. Rīgas ielu dzelzceļu attīstības pirmsākumi//
“Humanitārās un sociālās zinātnes”, 8. sēr., 11. sēj. – Rīga: RTU, 2007. –
110.-118. lpp.
15. Bražis V., Gasparjans A., Greivulis J. The cage rotor induction motor drive
with frontal part winding and current inverter// “Enerģētika un
elektrotehnika”, 4. sēr., 18. sēj. – Rīga: RTU, 2006. – 50.-56. lpp.
16. Bražis V., Greivulis J. Asinhronā dzinēja ar pieres daļas tinumu enerģētisko
parametru optimizācija atkarībā no slīdes// “Enerģētika un elektrotehnika”, 4.
sēr., 13. sēj. – Rīga: RTU, 2004. – 88.-94. lpp.
17. Bražis V., Greivulis J. Asinhronās elektriskās piedziņas ar pieres daļas
tinumiem struktūrmezglu darbības īpatnības// Starptautiskā zinātniskā
konference „Modernās tehnoloģijas enerģijas ieguvei un efektīvai
izmantošanai”. – Jelgava: Latvijas lauksaimniecības universitāte, Tehniskā
fakultāte, Lauksaimniecības enerģētikas institūts, 2004. – 140.-144. lpp.
18. Brazis V., Gasparian A., Greivulis J. The asynchronous Electric drive with
frontal part winding// Proc. EPE-PEMC’2004. - Riga, Latvia: September
2004. - A74433 on CD-ROM.
19. Bražis V., Gasparjans A., Greivulis J. Asinhronā dzinēja ar frontālās daļas
tinumu mehānisko raksturlīkņu eksperimentāla pētīšana.// “Enerģētika un
elektrotehnika”, 4. sēr., 10. sēj. – Rīga: RTU, 2003. – 83.-89. lpp.
20. Бражис В., Гаспарян А.С., Грейвулис Я.П., Теребков А.Ф. Асинхронный
двигатель с удлинёнными лобовыми частями статорных обмоток в
электроприводе// Проблемы автоматизированного электропривода.
Теория и практика. - Харьков: 2003. - 212-215 c.
21. Bražis V., Greivulis J. Asinhronās mašīnas pieres daļas ekvivalentā
induktivitāte// 43. RTU studentu zinātniskās un tehniskās konferences
materiāli. - Rīga, 2002., 15. lpp.
22. Bražis V., Gasparjans A., Greivulis J. Aizvietošanas shēma asinhronajam
dzinējam ar pieres daļas tinumu// “Enerģētika un elektrotehnika”, 4. sēr., 7.
sēj. – Rīga: RTU, 2002. – 16.-21. lpp.
23. Simakovs A., Raņķis I., Bražis V. Elektrovilciena elektroenerģijas patēriņa
bilances novērtējums un uzlabošana// “Enerģētika un elektrotehnika”, 4. sēr.,
4. sēj. – Rīga: RTU, 2001. – 75.-79. lpp.
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24. Raņķis I., Bražis V., Simakovs A. Vilces dzinēju kombinētā slēguma efektivitātes novērtējums elektrodzinēju piedziņās. “Enerģētika un elektrotehnika”, 4. sēr., 2. sēj. – Rīga: RTU, 2000. – 73.-82. lpp.
25. Rankis I., Brazis V. Simulation of tramcar’s energy balance // Second International Conference “Simulation, Gaming, Training and Business Process Reengineering in Operations”. – Riga, Latvia, 2000. – p. 160.-163.
26. Zaļeskis G., Bražis V. Siltummezglu automātiskās vadības sistēma ar mikrokontrolleru // 51. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2010., 214. lpp.
27. Mikijanskis V., Bražis V. Moderno tramvaju vilces piedziņa // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 20. lpp.
28. Andersons A., Bražis V. Moderno trolejbusu vilces piedziņa // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 11. lpp.
29. Kulakovs P., Bražis V. Elektrisko vilcienu spēka sistēmas // 46. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2005., 18. lpp.
30. Reimanis L., Bražis V. Elektrovilcienu spēka daļas galvenās funkcijas // 45. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2004., 21. lpp.
31. Špons A., Bražis V. Liftu elektropiedziņa // 45. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2004., 24. lpp.
32. Bražis V., Greivulis J. Asinhronās mašīnas pieres daļas ekvivalentie parametri // 43. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2002., 22. lpp.
33. Bražis V., Greivulis J. Klasiskās metodes netradicionāls pielietojums difererenciālvienādojumu pētīšanā elektrotehnikā // 42. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2001., 24. lpp.
34. Bražis V., Raņķis I. Tramvaja kustības matemātiskā modelēšana // 41. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 2000., 15. lpp.
35. Bražis V., Greivulis J. Lieljaudas asinhrono mašīnu darbības pamatprincipi ģeneratora režīmā // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 28.-29. lpp.
36. Bražis V., Greivulis J. Diferenciālvienādojumu kārtas pazemināšana elektrisko ķēžu aprēķinos // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 27. lpp.
37. Bražis V., Raņķis I. Elektropiedziņas PID regulatora optimizācija // 40. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1999., 29.-30. lpp.
38. Bražis V., Greivulis J. Lieljaudas asinhrono mašīnu darbības pamatprincipi dzinēja režīmā // 39. RTU studentu zinātniskās un tehniskās konferences materiāli, R., 1998., 3.-4. lpp.
39. Greivulis J., Bražis V. Diferenciālvienādojuma kārtas samazināšanas iespējas elektrotehnikas uzdevumos, Zinātniski praktiskā konference „Inženierproblēmas Lauksaimniecībā”, Jelgava, 2000.
40. Greivulis J., Bražis V., Doniņš J.: LV patents Nr. 13987 B LV patenta pieteikums “Asinhronā elektriskā piedziņa ar enerģijas uzkrājēju”. Patenti un preču zīmes, 2009. Nr. 4.
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41. Greivulis J., Bražis V. Greivulis J., Bražis V. : LV patents Nr. 13844 B “Līdzstrāvas virknes ierosmes dzinēja regulēšanas iekārta”. Patenti un preču zīmes, 2009. Nr. 4.
42. Greivulis J., Bražis V.: LV patents Nr. 13812 B LV patenta pieteikums “Līdzstrāvas virknes ierosmes dzinēja palaišanas iekārta”, Patenti un preču zīmes, 2009. Nr. 1.
43. Greivulis J., Avotiņš A., Bražis V.: LV patents Nr. 13730 B „Jūras viļņa enerģijas pārveidotāja iekārta”, Patenti un preču zīmes, 2008. Nr. 8.
44. Greivulis J.,Valeinis J., Bražis V.: LV patents Nr. 13474 B “Asinhrono dzinēju aizsardzības iekārta”, Patenti un preču zīmes, 2006. Nr. 10.
45. Greivulis J., Bražis V., Voitkāns J.: LV patents Nr. 13332 B “Asinhronā elektriskā piedziņa ar pieres daļas tinumu”, Patenti un preču zīmes, 2005. Nr. 10.
46. Bubnovs R., Greivulis J., Bražis V. LV patents Nr. 13057 B “Asinhronā elektropiedziņas kaskāde ”, Patenti un preču zīmes, 2003. Nr. 10.
47. Greivulis J., Bražis V.: LV patents Nr 12652 B “Sinusoidālas formas maiņsprieguma korekcijas iekārta”, “Patenti un preču zīmes”, 2001, Nr. 6.
48. Greivulis J., Bražis V., Bubnovs R.: LV patents Nr 12580 B “Asinhronā elektropiedziņa”, “Patenti un preču zīmes”, 2001, Nr. 1.
49. Ribickis L., Raņķis I.,Bražis V. „Elektrotransporta rekuperācijas iespējas Rīgas pilsētā”, Rīgas Domes zin.-tehn. Konferences materiāli, 2001, 4 lpp.
50. Bražis V. „Asinhronā elektropiedziņa ar pieres daļas tinumu un strāvas invertoru”, Rīga, RTU, 2005, 261.lpp. Promocijas darbs.
51. Bražis. V. „Asinhronā elektropiedziņa ar pieres daļas tinumu un strāvas invertoru”, Rīga, RTU, 2005, 28.lpp. Promocijas darba kopsavilkums.
52. Brazis V. „Asynchronous Electric Drive With Frontal Part Winding And Current Inverter”, Riga, RTU, 2005, 28. p. Dissertation.
53. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2007. 54. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2005. 55. Raņķis I., Bražis V. Elektrotehnoloģiskās iekārtas. R., 2002. 56. Raņķis I., Bražis V. Regulēšanas teorijas pamati. R., 2001. 57. Uzdevumi regulēšanas teorijas pamatos / I. Raņķis, A. Žiravecka, V.Bražis, R.,
RTU, 2004.g. 13. Total number of scientific works: 57 14. Patents: 9 15. Scientific projects:
1. FLPP-2009/21 „Optimization of energy consumption for induction traction drive with regenerative energy storages by intelligent control system” - manager;
2. ZP-2008/9 „Optimization of energy consumption for city rail electric transport by multi-layer hybrid trained neural networks” - manager;
3. ZP-2006/09 „Investigation of the regenerative energy supercapacitor accumulator”- manager;
4. 1571 pSAFECER 1.part – participation;
5. ERA-Net L7678 „Power Quality and Safety Requirements for People and Electrical Equipment in Smart Grid Customer Domain”- participation;
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6. FLPP-2010/32 „Ritošā sastāva jauno kustības vadības iekārtu drošuma testēšana avārijas situācijās” - participation;
7. ZP-2009/35 „Sliežu transporta intelektuālās vadības modelēšana neparedzētās situācijās ar imūnajām sistēmām”- participation;
8. ZP-2008/10 „Elektrotransporta intelektuālo vadības sistēmu modelēšana neparedzētu situāciju gadījumā” - participation;
9. ES 5. Frame project nr. 506513 „European Rail Research Network of Excellence” – participation;
10. R7382 "Elektriskā transporta sistēmas sarakstu teorijas uzdevumu risināšanas metožu modelēšana virtuālās laboratorijās" – participation;
11. R7208 „Maiņstrāvas elektronisko pārveidotāju virtuālo laboratoriju izstrāde” – participation;
12. ZP-2006/07 „Energotaupošu vadības metožu analīze un sintēze maiņstrāvas piedziņā, izmantojot mākslīgā intelekta tehnoloģijas” – participation;
13. LZP project Nr. 04.349 „Saistīto elektropiedziņu sistēmu vadība” – participation;
14. R7075 „Elektrotransporta apakšstacijas divvirzienu jaudas plūsmas elektromagnētiski savietojama kontrollera izveide” – participation.
16. Languages: Latvian, Russian, English
27.10.2011. V. Bražis
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Mr Ilmars Iltins
CURRICULUM VITAE
DOB: June 13, 1953
HOME ADDRESS:
56 Zalves Street, Riga LV-1046, Latvia
Cell phone No. 29239517
WORKPLACE
ADDRESS:
Riga Technical University, Faculty of Computer Science and Information
Technology, Chair of Engineering Mathematics, 1/4 Meža Street, Room 46, Riga,
LV-1007, Latvia, phone/fax No. 67089528/ 67089694
EDUCATION
AND ACADEMIC DEGREES
1993
1985
1979.-1982
1971-1976
Doctor of Science in Engineering (Dr. Sc. Ing) (Riga
technical University’s Promotion Council P-03,
Diploma B-D No. 000718).
Master of Technology (Lithuanian Academy of
Science, Institute of Power Industry Technical
Problems, Specialized Council K011.04.01, Diploma
TH Nr. 087294), theses “Dependance of coefficient
of diffusion on concentration of diffunding
substance”
Graduate Course, Riga Polytechnic Institute, Chair of
Special Courses in Higher Mathematics
Studies at Riga Polytechnic Institute, Faculty of
Automatics and Computer Engineering, specialty
„Application Mathematics”
WORK EXPERIENCE:
2007 – up to date Associated Professor at RTU Chair of Engineering Mathematics
2000. – 2007.
1995. – 2000.
1987.- 1995
1986. – 1987.
1984.- 1986.
1982. – 1984.
1978. – 1979.
1976. – 1978.
Professor Assistant at RTU Chair of Engineering Mathematics
Professor Assistant at RPI Chair of Operation Research.
Senior teacher at Chair of Special Courses in Higher Mathematics
Senior research associate at RPI Chair of Computing Technics.
Research associate at RPI Chair of Power Industry.
Engineer - mathematician at Bureau of Synthetic Insulation.
Engineer - mathematician at Research Institute of Standardization.
Engineer - mathematician at Ministry of Agriculture.
SCIENTIFIC GRANTS AND PROJECTS:
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1. Grant Nr. 01.0850 2. Grant Nr. 96.0527 3. Grant Nr. 01.0643 4. ESF project “Development of General Natural Sciences Multimedia
Educational Materials for Engineering Students of Technical Universities”, term 1.10.2005- 30.09.2008, contract No. 2005/ 0127/VPDI/ESF/PIAA/04/APK/3.2.3.2./0021/0007.
5. ESF project „Improving RTU Engineering Curricula and Research Quality and Accessibility with Modern ICT Solutions”, contract No. VPD1/ESF/PIAA/06/ APK/3.2.3.2./ 0061/0007.
6. ESF project „Improvement of Methodological and Technical Provision of General Courses Curricula”, contract No. 2006/0243/VPD1/ESF/PIAA/06/APK/ 3.2.3.2./0029/0098
7. ESF project No 2006/0243/VPD1/ESF/PIAA/06/APK/3.2.3.2./0029/0098.
SIGNIFICANT PUBLICATIONS:
1. Temkin A., Gerhards J., Iltins I. The Temperature Field of Cable Insulation. Scietific Proceedings of Riga Technical University. Series – Energetics and electrotechnic. ser. 4, vol 14, R., RTU, 2005, p. 94-99.
2. Iltins I., Iltina M. Calculating Dependence of Diffusion Coefficient on Concentration following Concentration Measurements in Initial Process Stage. Scientific Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 29 (48), Riga, RTU, 2006, p. 111- 115.
3. M. Iltiņa, I. Iltiņš. Numerical Methods. Riga, RTU, 2002, p. 95, (new edition 2005) 4. Iltina M., Iltins I. Generalized Taylor Series and its Application for Calculating Convolution. Scientific
Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 33 (49), Riga, RTU, 2007, p. 89- 93.
5. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. Applied and Computational Mathematics. Second edition. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2008. p. 105- 109.
6. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Scientific Journal of RTU. 5. ser., Computer Science, - vol 45, 2010, p. 118-120.
7. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a Body under Transient Process. Mathematical Models for Engineering Science. Institute for Environment, Engeneering, Economics and Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2010. p. 99- 100.
8. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. Mathematical Models for Engineering Science. Institute for Environment, Engeneering, Economics and Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, 2010. p. 101-103.
TEACHING EXPERIENCE: 1. Mathematics (basic course). 2. Mathematics additional sections. 3. Numerical methods. 4. Theory of probability and mathematical statistics (Open
University).
MAJOR RESEARCH DIRECTIONS:
Direct and reverse thermal conductivity problems
PARTICIPATION IN SCIENTIFIC AND METHODOLOGICAL CONFERENCES (last
6 years):
1. I. Iltins, Temkins method of separation of variables. Riga Technical University’s 46th
International Scientific Conference, October 13 – 15, 2005, p. 27.
2. A. Temkin, J. Gerhards, I. Iltins. Temperature field of cable insulation. Riga Technical University’s 46th
International Scientific Conference, October 13 – 15, 2005, p. 43.
3. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12 – 18,
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2006, p. 126. 4. I. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical
University’s 47th
International Scientific Conference, October 12- 14, 2006, p. 30. 5. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable External Influence. The Fourth
International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218. 6. M. Iltiņa, I. Iltiņš. Generalized Taylor Series and its Application for Calculating Thermal Conductivity
Equation Solving. Riga Technical University’s 49th
International Scientific Conference, October 13- 15, 2008, p. 31.
7. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. The 13th
WSEAS International Conference on Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 15-17, 2008. p. 105- 109.
8. M. Iltina, I. Iltins. Determining Temperature Conduction Coefficient as per Temperature Measurements at Variable Boundary Conditions. The 14
th International Conference. Mathematical Modelling and Analysis.
Daugavpils, Latvia, May 27-30, 2009. p. 33. 9. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient on the Boundary of a Solid Body Using
Temperature Measurements inside the Body. The 8th
Latvian Mathematical Conference in Valmiera, April 9-10, 2010. p. 35.
10. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient as per Temperature measurements inside a Solid. The 15
th International Conference. Mathematical Modelling and Analysis. Druskininkai, Lithuania,
May 26 -29, 2010, p. 31. 11. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Riga Technical University’s 51
th
International Scientific Conference, October 11- 15, 2010, p. 38. 12. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a
Body under Transient Process. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 99- 100.
13. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 101 – 103.
14. M. Iltina, I. Iltins. Determination of Thermal Conductivity Coefficient by using Temperature Field Projection in a Series along Boundary Condition Derivatives. The 16
th International Conference.
Mathematical Modelling and Analysis. Sigulda, Latvia, May 25 – 28, 2011, p. 56. 15. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Blackboard Learning System Application for Teaching
Mathematics. The 35th
International IGIP Symposium in Cooperation with IEEE/ASEE/SEFI, 2006-09- 18, Tallinn, Estonia, p. 76.
16. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Additional Opportunities for Teaching Mathematics by Means of Online Mathematical Courses. SEFI and IGIP Annual Conference 2007, Miskolc, Hungary, July 1-4, 2007. p. 23.
17. I. Iltins, M. Iltina. Teaching Numerical Methods with “Mathematica” at Riga Technical University. The 5th
WSEAS/IASME International Conference on Engineering Education (EE’08), Heraklion, Greece, July 22-24, 2008. p. 460.
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Curriculum Vitae
1. First Name, Last Name: Ilya Galkin
Birthday: 05/02/1973
Phone: +371 67089918
E-mail: – [email protected]
2. Scientific and Engineering Degrees
1990-1993, Riga Technical University (RTU), Faculty of Power and Electrical Engineering (EEF), Bachelor of Engineering Sciences in Electrical Engineering;
1993-1994, RTU, EEF, Engineer Diploma in Electrical Equipment;
1994-1996, RTU, EEF, Master of Engineering Sciences in Electrical Engineering;
1996-2001, RTU, EEF, Doctor of Engineering Sciences in Electrical Engineering.
3. Work Experience
1994, Railway depot „Zasulauks”, ;
1994-1999, Co Ltd “Lāsma”, engineer;
1996-1999, RTU, EEF, Laboratory Assistant;
1999-2001, RTU, EEF, Lecturer;
2001-2003, RTU, EEF, Docent;
2003-2009, RTU, EEF, Associate Professor and Leading Researcher;
2009-2011, RTU, EEF, Professor;
2009-2010, Tallinn University of Technology (Tallinn, Estonia), Guest Researcher;
2008, University of Chiba (Chiba, Japan), Guest Researcher.
4. Significant Publications
o Galkin I., Sokolovs A, „Comparison of Bus Bar Constructions for Matrix Converters”, Elect. Proceedings of IEEE International Symposium on Industrial Electronics ISIE2007 and paper abstract on page 66, Spain, Vigo, 2007 June 4-7.
o Galkin I., Sokolovs A., “Possible Design of Bus Bar Construction for Matrix Converter”, Electronic Proceedings of 9th international conference on Electrical Power Quality and Utilization – EPQU2007, Lecture session 4A – “EMC, Loads and Converters”, Spain, Barcelona, 2007 October 9-11.
o Sokolovs A., Galkins I., “Bus bar construction considerations for matrix converters in integrated AC drives”, Scientific Journal “Przeglad Elektrotechniczny” (“Electrical Review”), ISSN 0033-2097, Vol. 83, Nr. 10/2007, pages 108-111, 2007.
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o Vinnikov D., Laugis J., Galkin I., “Middle-Frequency Isolation Transformer Design Issues for the High-Voltage DC/DC Converter”, Proceedings of 2008 IEEE 39th Annual Power Electronics Specialists Conference, pages 1930 – 1936, Rhodes, Greece, June 15-19, 2008, ISSN: 0275-9306, ISBN: 978-1-4244-1667-7, INSPEC Accession Number:10155268, IEEE Digital Object Identifier: 10.1109/PESC.2008.4592226
o I. Galkin, A. Stepanov, L. Bisenieks, “Direct-current supply system with capability of an uninterruptible power supply”, Proceedings of the 11th Biennial Baltic Electronic Conference BEC2008, ISBN: 978-1-4244-2059-9, pages 301-304, Tallinn-Laulasmaa, Estonia, October 6-8, 2008.
o Galkin I., “Fundamentals of MSP430 Microcontrollers” (in Latvian, original data – Galkins I., “MSP430 mikrokontrolleru pielietošanas pamati”) Rīga, RTU Publishing House, 2009, ISBN 978-9984-32-460-9.
o Galkin I., Avotinsh A., Suzdalenko A., Ribickis L., “Comparison and Choice of Supply and Driver Unit for Power LED Luminary”, Scientific Journal of Riga Technical University, Series 4 , Special Issue (Volume 25) – Proceedings of the 50th International Conference of Riga Technical University (Latvia, Riga, September 21-26, 2009), ISSN 1407-7345, pages 137-140, Riga, RTU Publishing House, 2009.
o Galkin I., Suzdalenko A., “Analysis of the Actual Current Paths of an Integrated Matrix Converter”, Electronic Proceedings of 12th International Conference on Electrical Machines and Systems (ICEMS2009), Tokyo, Japan, November 15-18, 2009, ISBN 978-1-4244-5177-7, INSPEC Accession Number 11084437, IEEE Digital Object Identifier 10.1109/ICEMS.2009.5382851.
Date
Signature/Explanation
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Dzī ves un darba ga jums ( CURRICULUM VITAE)
Name, Surname: Aleksandrs Glazs
ID number: 070439-10402
Date of birth: April 7th, 1939
Place of birth: Riga, Latvia
Home address: Aglonas street 4 – 60, LV-1057, Riga, Latvia
E-mail: [email protected]
Phone: work - +371 67089542
home - +371 67254353
mob. - +371 29289793
Education:
Dr.habil.sc.ing., Diploma B-Dh N 00065 from February 19, 1993 issued by Riga Technical
University
Dr.sc.ing., Diploma DT N 01577744 issued by the Highest Attestation Commission, July
17, 1992. The Doctoral thesis “Parametrical and Structural Adaptation of Decision Rules
in Recognition Problems” defended in the Russian Academy of Science in Moscow on
May 21, 1992.
Candidate of Technical Sciences, Diploma MTN N 075963 01577744 issued by the
Highest Attestation Commission, April 26, 1971 – approved by Senate decision of Riga
Polytechnical Institute.
1966 graduated from Riga Polytechnical Institute, Faculty of Information Science and
Computer Engineering, Diploma CN 470560.
Academic titles:
Professor (Diploma N49, by Senate decision of the RTU, N455 from January 29, 2001).
Professor (certificate N 008, by Senate decision of the Latvian State Institute for Leading
Managers and Specialists of National Economy, April 23, 1992)
Full member of the Baltic Information Academy (Diploma BA N 0026 from September 18,
1996)
Assistant professor (certificate DC N 015222 by the Highest Attestation Commission,
October 5, 1977)
Work experience:
From 1999 Director of the Institute of Computer Control, Automation and Computer
Engineering, Faculty of Computer Science and Information Technology of Riga Technical
University (RTU)
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From 1997 RTU, Faculty of Computer Science and Information Technology
Professor, Head of the Department of Image processing and Computer Graphics
of the Institute of Computer control, engineering and technology
Professor of the Department of Decision support systems
1971-1997 Latvian State Institute for Leading Managers and Specialists of National
Economy
Head of Information Sciences and Computer Engineering department
Assistant professor
Languages:
Latvian, English, Russian
Scientific works:
The number of scientific works is greater than 150. During last 4 years (2008-2011):
1. A.Sisojevs, A.Glazs. An new approach of visualization of free-form surfaces by a ray
tracing method. // The 14th IEEE Mediterranean Electro technical Conference, May 5-7,
2008., 872-875 pp.,(iekļauta IEEE Xplore, Scopus datubāzēs).
2. K. Krečetova, A. Glazs Volume Estimation of Pathology Zones in 3D Medical Images //
IFMBE Proceedings. 4th European Conference of the International Federation for Medical
and Biological Engineering, Antwerp, Belgium, 2008, 617-620 pp., (iekļauta SpringerLink
datubāzē <www.springerlink.com>)
3. Smoļaninovs V., Glazs A. On one method to improve videoimage quality // Automatic
Control and Computer Sciences. - Rīga, Latvija, 2009. - 71.-80. lpp.,(iekļauts
SpringerLink datubāzē www.springerlink.com un pieejams internetā www.edi.lv)
4. Krečetova K., Glazs A., Platkājis A. Slimības diagnostika pēc datortomogrāfijas datiem //
RTU zinātniskie raksti. 5. sēr., Datorzinātne. - 39. sēj. (2009), 8.-14. lpp., (iekļauta
Ebscohost datubāzē <www.ebscohost.com>, sadaļā Computers & Applied Sciences
Complete, )
5. Sisojevs A., Krechetova K., Glazs A. 3D Modeling of Free-Form Object (Interpolation,
Visualization and Volume Estimation)// The 17th International Conference on Computer
Graphics, Visualization and Computer Vision WSCG'2009 proceedings. – Plzen: University
of West Bohemia, 2009. - 125 - 128 p. (Database: Thompson Reuters ISI. Publikācija
brīvi pieejama WSCG Digital Library, Internets: http://wscg.zcu.cz/DL/wscg_DL.htm)
6. Sisojevs A., Glazs A. Efficient approach to direct B–spline surface rendering by a ray
tracing// The 17th International Conference on Computer Graphics, Visualization and
Computer Vision WSCG'2009 proceedings. – Plzen, 2009. - 13 - 16 p. (Database:
Thompson Reuters ISI. Publikācija brīvi pieejama WSCG Digital Library, Internets:
http://wscg.zcu.cz/DL/wscg_DL.htm)
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7. Bolochko K., Glazs A. Contour Processing and 3D Visualization in Medical Images //
Biomedical Engineering. Proceedings of International Conference, 14th Annual
International Biomedical Engineering Conference, Lietuva, Kaunas, 28.-29.oktobrī., 2010,
216.-219. pp. (brīvi pieejama Kauņas Tehnoloģiskās universitātes Biomedicīnas
Inženierijas Institūta tīmekļa vietnē -
http://www.bmii.ktu.lt/en/conference/archive/bi2010)
8. Krechetova K., Sisojevs A., Glazs A., Platkajis A. Medical Image Region Extraction and 3D
Modeling Based on Approximating Curves// International Journal of Advanced Materials
Research. – Trans Tech Publications: Switzerland, 2011. – Vol. 222, – pp. 285 – 288.
(Database: Scientific.Net. Publikācija pieejama par maksu)
9. Bolochko K., Kovalovs M., Glaz A., Medical Image 3D Visualization by Vector Based
Methods // IADIS Multi Conference on Computer Science and Information Systems,
Computer Graphics, Visualization, Computer Vision and Image Processing, 24-26 July,
2011
Participation in Latvian Council of Science (LZP) research projects:
During the last 4 years (2008-2011) participated in 4 LZP research projects
LZP project Nr.09.1564 participant
LZP project Nr.09.1240 participant
LZP project Nr.05.1642 supervisor
LZP project Nr.01.0854 supervisor
Reading of lectures and seminars. Development of new disciplines:
DAA300. Fundamentals of Computer Graphics and Image Processing, 2 KP
DAA515. Computer Graphics, Pattern Recognition and Image Processing Methods, 4 KP
DAA402. Scene Analysis, 3 KP
DAA501. Computer Vision, 4 KP
DAA604. Modern Methods in Computer Graphics, Image Processing and Scene
Analysis, 8 KP
DAA603. Computational Methods in Research, 5 KP
DAA601. Pattern Recognition and Image Processing, 10 KP
Educational program development and management:
RDBF0 – Automation and Computer Engineering, bachelors academic studies
DMF0 – Automation and Computer Engineering, masters academic studies
DGF0 – Automation and Computer Engineering, professional masters academic studies
DDF6 – Automation and Computer Engineering, doctoral studies
Prepared study aids:
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The total number of prepared study aids is 14, of which prepared during the last 6 years (2004-2010):
A. Glazs. Fundamentals of Computer Graphics and Image Processing. (lecture notes, ORTUS),
118 lpp., 2010
A. Glazs. Graphic primitives creation algorithms. (electronic version), RTU, DITF, DADI, Riga,
26 lpp., 2004.
Professional societies:
Pattern Recognition Society (USA) member no 1997 g.
Member of Latvian Association of High School Professors
Member of RTU Senate
Member of the Council of Faculty of Computer Science and Information Technology
Member of doctorate council “RTU P-07”
Member of professor council in Information technology field
Member of RTU scientific works 5th series “Datorzinātne” thematic issue of “Datorvadības
tehnoloģijas” editorial board
2008, 2009 – international conference biomedical engineering scientific and program
committee member
Director of Institute of Computer Control, Automation and Computer Engineering
Supervisor of Image processing and Computer Graphics professor group
Awards:
2007, certificate from A/S "DATI" (AS „Exigen Services DATI”) and Latvian education
fund for training a qualified professional
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CURRICULUM VITAE Janis Grundspenkis
Personal Data Identity No.: 190642-10542 Place of birth: Riga, Latvia Date of birth: 19 June 1942 Place of residence: Saldus Street 3b-14, LV-1007, Riga, Latvia Education: 1993 Dr.habil.sc.ing., Riga Technical University 1992 Dr.sc.ing., Riga Technical University 1972 Candidate of technical sciences, postgraduate studies at RTU 1965 Electrical engineer, Riga Politechnical Institute (now Riga Technical University) 1949-1960 Riga 28th secondary school
Academic Positions and Degrees Dr.habil.sc.ing., professor, full member of Latvian Academy of Sciences
Employment 1994- Dean of Faculty of Computer Science and Information Technology (CSIT) of Riga
Technical University 1994- Director of Institute of Applied Computer Systems 1994- Head of the Department of Systems Theory and Design 1994- Professor of Systems Theory at Riga Technical University 1980-1992 Head of the Department of Automated Control Systems 1979-1994 Assistant professor at the Department of Automated Control Systems of the CSCE 1972-1979 Assistant and lecturer at the Department of Automated Control Systems of the CSCE 1968-1971 Doctoral student at Riga Politechnical Institute 1963-1968 Engineer at the Electromodelling laboratory of Faculty of Computer Science and
Computer Engineering (CSCE) of Riga Politechnical Institute (now Riga Technical University)
Area: Computer science and information technology Subarea: Systems analysis, modelling, and design Research projects: Leader/developer of 27 research projects. Leader of Latvian Council of Science projects 90.136 “Development of Expert System to Support Early Stages of Design of Technical Objects” (1991-1993), 93.586 “Intelligent System for Development of Structured Systems Analysis Methods and Tools” (1994-1996), 96.0489 “Intelligent Multi-Level Meta-Model Processing System for Construction of Structural Modelling Methods and Tools” (1997-2000), 01.0845 “Modelling of Intelligent Agent Co-operative work for Knowledge Management and Reengineering Purposes in Organizations” (2001-2004), 05.1644 “Integration of intelligent agent and knowledge management techniques for intelligent support of learning processes” (2005-2008), 09.1582 “Methods and Models Based on Distributed Artificial Intelligence and Web Technologies for Development of Intelligent Applied Software and Computer System Architecture” (2009-). Developer of EC FP6 project eLOGMAR-M “Web-based and Mobile Solutions for Collaborative Work Environment with Logistics and Maritime Applications” (2004-2006). Leader of ERDF project 2010/0258/2DP/2.1.1.1.0/10/APIA/VIAA/005 “Development of intelligent multiagent robotics system technology” (2010-). Research interests: Synthesis and analysis of complex technical system structural models for problem solving in early stages of design and technical diagnosis, methods and tools for the development of complex system structures, development of intelligent agent based systems for tutoring, robotics, business process management and logistics, integration of knowledge management and distributed artificial intelligence techniques.
Research and Publications Number of scientific publications: around 200, including the following chapters in books:
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Kirikova M. and Grundspenkis J. Using Knowledge Distribution in Requirements Engineering. Knowledge Based Systems. Techniques and Applications, vol. 1. (C.T. Leondes, Ed.), Academic Press, San Diego, USA, 2000, pp. 149-184. Grundspenkis J. and Mislevics A. Intelligent Agents for Business Process Management Systems. Infonomics for Distributed Business and Decision-Making Environments: Creating Information System Ecology (M. Pankowska, Ed.), IGI Global, 2009, pp. 97-131.
Presentations at international conferences and workshops: around 60 Patents and copyrights: none
Pedagogical Work Currently taught courses: Undergraduate studies: Discrete Structures for Computer Science, Methods of Systems Theory, Foundations of Artificial Intelligence, Introduction in Artificial Intelligence, Knowledge Representation and Processing Graduate studies: Artificial Intelligence, Systems and Process Theory Post-graduate studies: Structural Modelling, Advanced Methods of Computer Systems Design, Distributed Intelligent Systems Scientific seminars for graduates: Computer Systems Design, Computer Systems Design Methods Prepared study materials: Discrete Structures of Computer Science, Methods of Systems Theory, Foundations of Artificial Intelligence, Artificial Intelligence, Systems and Process Theory (all available on Internet) Supervised doctoral theses: Six doctoral theses have been supervised and defended: J. Tenteris (1986), V. Zulis (1988), M. Kirikova (1993), A. Nikitenko (2006), A. Anohina (2007), and E. Lavendelis (2009). At present 12 doctoral theses are worked out.
Organizational Work International scientific organizations: Member of the IEEE (Institute of Electrical and Electronics Engineers), IADIS (International Association for Development of Information Society). Associated member of IFAC (International Federation of Automatic Control), ECCAI (European Co-ordinating Committee of Artificial Intelligence), EUNIS (European University Information Systems Organisation), and SCSI (The Society for Computer Simulation International). Expert commissions: Chairman of expert commissions for evaluation and accreditation of study programmes in Computer Science and Information Technology in Latvia and Estonia. Conference organizing and program committees: Chairmen of the organizing committee of 11
th International Conference on Information Systems
Development (ISD 2002), 16th International Conference on Advanced Information Systems Engineering (CAiSE*04), general chair of 13
th International Conference on Advances in Databases and
Information Systems (ADBIS 2009), and International Conference on e-Learning and the Knowledge Society (e-Learning’10). Member of organising and international program committees of International Baltic Workshop on Data Bases and Information Systems (1994, 1996, 1998, 2000, 2002, 2004, 2008, 2008, 2010), Advances in Data Bases and Information Systems (ADBIS'95, ADBIS'96, ADBIS'97, ADBIS'98, ADBIS'99 ADBIS’00; ADBIS'03; ADBIS’09, Modelling and Simulation within Maritime Environment (1998), Simulation, Gaming, Training and Business Process Reengineering in Operations (2000), Conference on Advanced Information Systems Engineering (CAiSE*00, CAiSE*01, CAiSE*04, CAiSE*05), Information Systems Development (ISD 2002, 2003, 2004, 2005, 2009), 7th International Workshop on Harbour, Maritime & Multimodal Logistics Modelling and Simulation 2003, International Conference on Computer Systems and Technology (CompSysTech’2003, 2004, 2005), International Conference on Modelling and Simulation of Business Systems (2003), International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2008), IADIS International Conference on Intelligent Systems and Agents (ISA 2008), BIR 2009, and others. Editorial boards:
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Member of the editorial board of scientific journals "Automation and Computer Engineering" and Acta Universitatis Latviensis, Computer Science and Information Technologies. Editor of the Scientific Journal of Riga Technical University, 5
th Series: Computer Science, Applied Computer Systems.
Research management: Leader of 4 international and 14 national research projects.
Other Relevant Information In 2011 I am elected as president of Latvian Chapter of IEEE Computer Society.
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Mrs Marija Iltina
CURRICULUM VITAE
DOB: April 29, 1953
HOME ADDRESS:
56 Zalves Street, Riga LV-1046, Latvia
Cell phone No. 29239516
WORKPLACE ADDRESS: Riga Technical University, Faculty of Computer Science and Information Technology, Chair of
Engineering Mathematics, 1/4 Meža Street, Room 46, Riga, LV-1007, Latvia, phone/fax No.
67089528/ 67089694
EDUCATION
AND ACADEMIC DEGREES
1993
1988
1983-1985
1971-1976
Doctor of Science in Engineering (Dr. Sc. Ing) (Riga technical
University’s Promotion Council P-03, Diploma B-D No. 000719).
Master of Technology (Lithuanian Academy of Science, Institute
of Power Industry Technical Problems, Specialized Council
K011.04.01, Diploma TH No. 113973), theses “Determination of
Thermal Physical Properties by Using Measurement Results in
Cylindrical Field”
Graduate Course, Riga Polytechnic Institute, Chair of Special
Courses in Higher Mathematics
Studies at Riga Polytechnic Institute, Faculty of Automatics and
Computer Engineering, specialty „Application Mathematics”
WORK EXPERIENCE:
1990 – up to date Professor Assistant at RTU Chair of Engineering Mathematics
1985 - 1990
1980 - 1983
1976 - 1980
2003- 2007
Senior teacher at RTU Chair of Applied Mathematics
Assistant at RPI Chair of Special Courses in Higher Mathematics
Engineer at RPI Chair of Power Industry.
Lecturer at Riga International School of Economics and Business Administration
SCIENTIFIC GRANTS AND PROJECTS:
8. ESF project “Development of General Natural Sciences Multimedia Educational Materials for Engineering Students of Technical Universities”, term 1.10.2005- 30.09.2008, contract No. 2005/ 0127/VPDI/ESF/PIAA/04/APK/3.2.3.2./0021/0007.
9. ESF project „Improving RTU Engineering Curricula and Research Quality and Accessibility with Modern ICT Solutions”, contract No. VPD1/ESF/PIAA/06/ APK/3.2.3.2./ 0061/0007.
10. ESF project „Improvement of Methodological and Technical Provision of General Courses Curricula”, contract No. 2006/0243/VPD1/ESF/PIAA/06/APK/ 3.2.3.2./0029/0098
SIGNIFICANT PUBLICATIONS:
9. Iltins I., Iltina M. Calculating Dependence of Diffusion Coefficient on Concentration following Concentration Measurements in Initial Process Stage. Scientific Proceedings of Riga Technical University. Series – Computer Science, series 5, volume 29 (48), Riga, RTU, 2006, p. 111- 115.
10. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12- 18, 2006, p. 126.
11. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical University’s 47
th International Scientific Conference, 2006, p. 30.
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12. M. Iltiņa, I. Iltiņš. Numerical Methods. Riga, RTU, 2002, p. 95, (new edition 2005) 13. Iltina M., Iltins I. Generalized Taylor Series and its Application for Calculating Convolution. Scientific Proceedings of
Riga Technical University. Series – Computer Science, series 5, volume 33 (49), Riga, RTU, 2007, p. 89- 93.
TEACHING EXPERIENCE: 5. Mathematics (basic course). 6. Mathematics additional sections. 7. Numerical methods. 8. Theory of probability and mathematical statistics (Open University).
MAJOR RESEARCH DIRECTIONS:
Direct and reverse thermal conductivity problems
PARTICIPATION IN SCIENTIFIC AND METHODOLOGICAL CONFERENCES (last 6 years):
18. M. Iltina, I. Iltins, A. Kolyshkin, I. Volodko. Transient Method for Leak and Partial Blockage Detection in Pipelines. The Third International Conference of Applied Mathematics. Plovdiv, Bulgaria, August 12 – 18, 2006, p. 126.
19. I. Iltiņš, M. Iltiņa. Analytical Solution of Diffusion Equation with the Simplest Non-linearity. Riga Technical University’s 47
th International Scientific Conference, October 12- 14, 2006, p. 30.
20. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable External Influence. The Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.
21. M. Iltiņa, I. Iltiņš. Generalized Taylor Series and its Application for Calculating Thermal Conductivity Equation Solving. Riga Technical University’s 49
th International Scientific Conference, October 13- 15, 2006, p. 31.
22. M. Iltina, I. Iltins. Calculation of Diffusion Process Nonlinearity According to Mass Measurements. The 13th
WSEAS International Conference on Applied Mathematics. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 15-17, 2008. p. 105- 109.
23. M. Iltina, I. Iltins. Determining Temperature Conduction Coefficient as per Temperature Measurements at Variable Boundary Conditions. The 14
th International Conference. Mathematical Modelling and Analysis. Daugavpils, Latvia,
May 27-30, 2009. p. 33. 24. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient on the Boundary of a Solid Body Using Temperature
Measurements inside the Body. The 8th
Latvian Mathematical Conference in Valmiera, April 9-10, 2010. p. 35. 25. M. Iltina, I. Iltins. Calculation of Heat Exchange Coefficient as per Temperature measurements inside a Solid. The 15
th
International Conference. Mathematical Modelling and Analysis. Druskininkai, Lithuania, May 26 -29, 2010, p. 31. 26. Iltins I., Iltina M. Determination of Heat Source Intensity inside a Plate.// Riga Technical University’s 51
th International
Scientific Conference, October 11- 15, 2010, p. 38. 27. I. Iltins, M. Iltina. Determination of Heat Source Intensity as per Temperature Measurements inside a Body under
Transient Process. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 99- 100.
28. M. Iltina, I. Iltins. Some Application of Generalized Taylor Series. International Conference on Mathematical Models for Engineering Science. Puerto De La Cruz, Tenerife, Canary Islands, Spain, November 30 – December 2, 2010. p. 101 – 103.
29. M. Iltina, I. Iltins. Determination of Thermal Conductivity Coefficient by using Temperature Field Projection in a Series along Boundary Condition Derivatives. The 16
th International Conference. Mathematical Modelling and Analysis.
Sigulda, Latvia, May 25 – 28, 2011, p. 56. 30. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Blackboard Learning System Application for Teaching Mathematics. The
35th
International IGIP Symposium in Cooperation with IEEE/ASEE/SEFI, 2006-09- 18, Tallinn, Estonia, p. 76. 31. I. Volodko, M. Iltina, I. Iltins, V. Gosteine. Additional Opportunities for Teaching Mathematics by Means of Online
Mathematical Courses. SEFI and IGIP Annual Conference 2007, Miskolc, Hungary, July 1-4, 2007. p. 23. 32. I. Iltins, M. Iltina. Teaching Numerical Methods with “Mathematica” at Riga Technical University. The 5
th
WSEAS/IASME International Conference on Engineering Education (EE’08), Heraklion, Greece, July 22-24, 2008. p. 460.
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CURRICULUM VITAE
PERSONAL INFORMATION
First name, surname: Vladimirs Jemeļjanovs
E-mail: vladimirs.jemeljanovs@rtu. lv
LANGUAGE PROFICIENCY
Native tongue: Russian
Other languages: Latvian, German
EDUCATION
1997 - 2008
Riga Technical University
Dr.sc.ing.
1976 -1981
USSR Ministry of Internal Affairs
Moscow Higher Fire fighting Engineering School
Fire safety and fire fighting facilities and equipment
Engineer
1972 -1975
USSR Ministry of Internal Affairs
Leningrad Fire fighting Technical School
Fire safety and fire fighting facilities and equipment
Technician
SCIENTIFIC DEGREES
“Enhancement of internal fire safety water supply system efficiency in buildings”, 1997, Riga
Technical University, Dr.sc.ing.
PROFESSIONAL ADVANCEMENT
2005 Accreditation and competence assessment procedures. „Latvian national
accreditation bureau”
2004 „Basic Course in pedagogy”, Rushersberg, Sweden
2004 „System of results and resultant indices”, State Administration School
2004 Training Centre „Būts”, Professional advancement programme „Labour protection”
2004 University of Latvia, Institute of Pedagogy and Psychology, Further education
programme „Didactics of Higher Educational Establishments: contemporary theories and
practice”
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2003 „Strategy management”, State Administration School
2002 „European Union basic guidelines”, State Administration School
WORK EXPERIENCE
1999 - 2008 Riga Technical University, Assoc. professor
2002 - 2004 College of Fire Safety and Civil Defence, Director
1986 - 2002 LR Ministry of Internal Affairs, National Fire and Rescue Service, Deputy
Head
1984 - 1986 LR Ministry of Internal Affairs, Confinement Board, Head of Department
1981 - 1984 LR Ministry of Internal Affairs, Fire Fighting Board, Head of Department
1979 - 1981 LR Ministry of Internal Affairs, Fire Fighting Board, Training Centre, Deputy
Head
1975 - 1979 LR Ministry of Internal Affairs, Fire Fighting Board, 7th para-military fire
fighting department, Senior engineer
RESEARCH WORK AND PARTICIPATION IN RELEVANT ACADEMIC PROJECTS
2006 - 2007
Cross-border cooperation initiative in crisis management systems in neighbouring regions of
Latvia and Lithuania in 2005 – 2007, ERAF co-financing in cooperation with Jelgava City
Council, National Fire and Rescue Service, Riga Technical University, project manager on the
part of the RTU.
2007
Project of Ministry of Education and Science and RTU R7219 „ Scientific substantiation of
permissible fire risks in Latvia”, research associate.
2006 – 2007
RTU project No.28-2006/11 „Analysis of evaluating scientifically substantiated factors of
explosiveness and fire hazardousness”, project manager.
2006
Project of Ministry of Education and Sciences and RTU U7112”Development of methodology
for quantitative assessment of fire risks in educational establishments of Latvia”, research
associate.
2005
Examination and appraisal of fire damage causes in „A/s „ Komēta” ordered by Latvian Police
Authorities, criminal case No.1095139801, expert.
2001 -2002
Project 1 A 11 „Purchasing of special equipment for fire fighting and rescue operations”,
project manager.
Patents: No.11668, index A62C5/00”Fire fighting liquid”
No.11669, index A62D1/00 ”Fire fighting liquid”
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PUBLICATIONS
Scientific publications
1. V.Jemeļjanovs „Problems of classifying premises into categories taking into account
factors of explosiveness”/co-authors: J.Ievinš, A.Jemeļjanovs, J.Sulojeva,
M.Ziemelis//International scientific conference „Ecology and life safety of industrial and
transport enterprises ELPIT - 2007”, Togliatti, 20-23 September 2007, proceedings, vol.3,
pp.265-269 (in Russian).
2. V.Jemeļjanovs „Substantiation of permissible level of fire risks in Latvia”/co-authors:
J.Ievinš, A.Jemeļjanovs, J.Sulojeva, K.Didenko// International scientific conference „Ecology
and life safety of industrial and transport enterprises ELPIT - 2007”, Togliatti, 20-23
September 2007, proceedings, vol.1, pp.118-125 (in Russian).
3. V.Jemeļjanovs ”Detection of geometric parameters of dangerous zones due to gas, liquid
vapour and dust explosions”/co-authors: V.Edins, J.Sulojeva//International scientific
conference “Research problems of technogenic environment protection”, 30 March 2007,
RTU, Riga (in Latvian).
4. V.Jemeļjanovs „Assessment of technogenic safety of the city of Riga and its complex safety
in the future” /co-authors J. Ievinš, A.Jemeļjanovs, J.Sulojeva//International scientific
conference „Ecology and life safety ELPIT - 2007”, Togliatti, September 2005, The Samar
News (in Russian).
5. V.Jemeļjanovs „Optimization of fire fighting depots and community safety ”/co-authors:
N.Kabanovs, J.Sulojeva//International conference „Human rights and community safety”,
Riga, 26-27 August 2004, Latvian Police Academy, pp. 65-71 (in Latvian).
6. V.Jemeļjanovs „Main principles of calculating direct losses caused by fires”/co-authors:
J.Sulojeva, J.Puškina, K.Didenko//Economics and entrepreneurship/RTU scientific
proceedings, Riga, RTU, 2002, pp.81-88 (in Latvian).
7. V.Jemeljanovs „Optimization of the response time in Latvian State Fire and Rescue
Service.”/co-author A.Straume//International Ecological Symposium ”The Way Out from
Global Ecological Crisis” Saint-Petersburg, Russia, 2001, pp.263-264.
8. V.Jemeļjanovs „Assessment of economic and social losses due to fire damages”/co-
authors: J.Sulojeva, V.Kozlovs, K.Didenko//International scientific conference „Management
of an organisation. Regional aspects”, Kiev, 12-13 kvitnaju IBC. „Vigabnucno Politehnika„
2002, pp. 303-304 (in Russian and Ukrainian).
9. V.Jemeļjanovs „Innovative approach to assessment of losses caused by fires in rural
districts of Latvia”/co-authors: J.Sulojeva, A.Jemeļjanovs// Economics and
entrepreneurship/RTU scientific proceedings, Riga, RTU, 2001, pp.45-50 (in Latvian).
10. V.Jemeļjanovs „Assessment of Latvian Rescue Service Efficiency” 2nd World Congress of
Latvian scientists /co-authors: J.Sulojeva, E.Pālītis //Riga, 14 -15 August 2001,174 pp. (in
Latvian).
Teaching and methodological materials
1. V.Jemeļjanovs, J.Ieviņš, „Regulations on submitting and defence of diploma projects
within the professional study programme „Fire Safety and Civil Defence”, approved by the
Commission of the study programme „Labour protection and Civil Defence”, 13 September
2007, protocol No.16.
2.V.Jemeljanovs „Fire Safety supervision and control”, lecture notes, RTU, 2007.
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3. V.Jemeļjanovs, J.Ieviņš, M.Ziemelis „Regulations on organization, implementation and
defence of placement within the study programme „Fire Safety and Civil Defence” approved
by the Commission of study programme „Labour protection and Civil Defence”, 16
September 2006, protocol No.2.
4. V.Jemeļjanovs, J.Ieviņš, J.Ķipsna, V.Jurēnoks ‘Regulations on organization, implementation
and defence of placement within the Master professional study programme „Labour
protection” approved by the Commission of the study programme „Labour protection and
Civil Defence”, 13 September 2005, protocol No.1.
5. V.Jemeļjanovs, A.Jemeļjanovs „Civil Defence”, lecture notes, 2004.
5. A.Jemeļjanovs, Ē.Pālītis, V.Jemeļjanovs. Laboratory work (practice) „Plan of Civil defence
measures” (ISBN 9984-2000681-04-01), RTU, Riga.
PARTICIPATION IN SCIENTIFIC CONFERENCES
2001 -2007
1. V.Jemeļjanovs „Problems of classifying premises into categories taking into account
factors of explosiveness”/co-authors: J.Ievinš, A.Jemeļjanovs, J.Sulojeva,
M.Ziemelis//International scientific conference „Ecology and life safety of industrial and
transport enterprises ELPIT - 2007”, Togliatti, 20-23 September 2007.
2. V.Jemeļjanovs ”Detection of geometric parameters of dangerous zones due to gas, liquid
vapour and dust explosions”/co-authors: V.Edins, J.Sulojeva//International scientific
conference “Research problems of technogenic environment protection”, 30 March 2007,
RTU, Riga.
3.V.Jemeļjanovs „Personnel training in civil defence „Officers training for emergency
services”, International scientific conference, St.Petersburg University, 14 September 2006.
4. V.Jemeļjanovs „Assessment of technogenic safety of the city of Riga and its complex safety
in the future” /co-authors J. Ievinš, A.Jemeļjanovs, J.Sulojeva//International scientific
conference „Ecology and life safety ELPIT - 2005”, Togliatti, September 2005.
5. V.Jemeļjanovs „Optimization of fire fighting depots and community safety ”/co-authors:
N.Kabanovs, J.Sulojeva//International conference „Human rights and community safety”,
Riga, 26-27 August 2004.
6. V.Jemeļjanovs „Assessment of Latvian Rescue Service Efficiency” 2nd World Congress of
Latvian scientists /co-authors: J.Sulojeva, E.Pālītis //Riga, 14 -15 August 2001.
7. V.Jemeljanovs „Optimization of the response time in Latvian State Fire and Rescue
Service.”/A.Straume// International Ecological Symposium”The Way Out from Global
Ecological Crisis” Saint-Petersburg, Russia, 2001.g.
PEDAGOGICAL WORK
Length of pedagogical work experience in higher education - 9 years
Courses taught
1. „Civil Defence” RTU Bachelor and Engineer study programme ICA.
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2. „Fire Safety and Civil Defence” RTU Master academic study programme.
3. „Preventive Measures of Fire Safety” 1st level Professional study programme UCAK.
4. “Organisation of Preventive Measures of Fire Safety” within the professional study
programme „Fire Safety and Civil Defence, RTU.
Development and management of study programmes
1. „Fire Safety and Civil Defence” 2nd level professional higher education study programme
(code 4686106, RTU Senate, 27 June 2005, protocol No.497, accredited by Ministry of
Education and Science for 2007 - 2013), programme director.
2. „Fire Safety and Fire Fighting” 1st level professional higher education study programme
(code 418614, Decision No.4 of the Council of Fire Safety and Civil Defence College, 21
February 2003), Director of Fire Safety and Civil Defence College.
3. Profession Standard „Engineer of Fire Safety and Civil Defence” PS 0278, approved by the
Resolution No.537 of the Ministry of Education and Sciences , 17 September 2004, head of
the working group.
ORGANIZATIONAL SKILLS AND COMPETENCES
- International scientific conference “Research problems of technogenic environment
protection”, RTU, Riga, 30 March 2007, co-chairperson;
- Member of RTU EEF Labour Protection and Civil Defence study programme commission
since 2005;
- Member of RTU academic meeting since 2006;
- LATAK expert;
- International Academy of Ecology and Life Protection Sciences (IAELPS), St.Petersburg,
Russia, academician;
- Participation in EU EFCA, 2003 - 2004, Germany, Italy;
- Participation in EU EGOLF, 2000 – 2003, Finland, Denmark;
- Member of Latvian Association of Building Engineers;
- Director of College of Fire Safety and Civil Defence of LR Ministry of Internal Affairs
- Deputy Chairman of the Council of College of Fire Safety and Civil Defence, 2002 -2004.
ADDITIONAL INFORMATION
AWARDED with Gold decoration „For special merits” by State Fire and Rescue Service
(Resolution No.411, 2 May 2007)
28.10.2011. Vladimirs Jemeļjanovs
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Curriculum vitae
Valdis Kampars Address: Faculty of Materials Science and Applied Chemistry, Azenes iela 14/24,
Riga, LV-1048
Phone +371 67608606, +371 29230958
Fax: +371 7615765
E-mail: [email protected]
http://www.lza.lv/scientists/kamparsv.htm
Date and place of birth:
05.10.1944., Latvia, Priekule.
Education and scientific qualification:
Engineer (1970), Dr. chem.(1974), Dr.habil.chem. (1983, 1991), Professor. (1989),
Corresponding Member of Latvian Academy of Sciences (1994), Academic of
Latvian Academy of Sciences (1997).
Languages: Latvian (mother tongue), Russian, English
Occupation:
Junior and Senior Researcher, Faculty of Chemistry (1970-1983).
Associate Professor, Department of Organic Chemistry (1984-1988).
Head, Department of General Chemistry (1988-2001).
Head, Department of Chemistry (since 2002).
Professor (since 1989).
Dean, Faculty of Chemical Technology (1993-2003).
Dean, Faculty of Material Science and Applied Chemistry (2003-2008).
Director, Institute of Applied Chemistry (since 2006).
General secretary, Latvian Academy of Sciences (since 2008)
Courses (RTU):
General Chemistry;
Industrial Organic Chemistry;
Fuels and Lubricants;
Structure of Matter;
Atomic Spectroscopy;
Chemical Analysis;
UV-visible, near- and far-infrared spectroscopy;
Molecular Spectroscopy.
Supervised promotion works:
Study program „Chemistry” (3 doctoral students), „Chemistry Technology” (2
doctoral students)
Supervised master works:
Study program „Chemistry” (3 master students)
Development and management of study programmes:
Director of the bachelor, master and doctoral study “Chemistry” program.
Research directions:
Organic and Industrial Organic Chemistry, Domestic Raw Materials for Chemical
Industry, Organic Compounds and Polymers for Photoelectronics and Information
Storage, Alternative and Renewable Fuels, Waste Recycling, Diazonium Compounds,
Chemical and Chemical Engineering Education
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Research projects:
National Research Program:
1.V7547.3. Materials for photonics and nanoelectronics based on novel functional low
molecular organic compounds and polymers.
2.V7551 2. Optimisation of Synthesis and Use of Biofuels.
Latvian Academy of Sciences projects:
1.Nr.06.34.2 Biodegvielu kvalitātes nodrošināšana.
2.Nr.06.29.B. Inovatīvi strukturāli integrēti kompozītmateriāli: dizains, iegūšanas un
pārstrādes tehnoloģijas, ilgmūžība. Sadaļa: Nano-, mikro- un makrostrukturēti
materiāli uz minerālo izejvielu bāzes.
3. Nr.06.29.7. Inovatīvi strukturāli integrēti kompozītmateriāli: dizains, iegūšanas un
pārstrādes tehnoloģijas, ilgmūžība. Sadaļa: Materiāli optoelektronikai uz organisko
polimeru bāzes gaismas enerģijas pārveidei.
4.Nr.05.0005.4.1. Organic Materials for Microelectronic and Photonic.
5. Nr.05.0026.11.1. Organic Chromophors for Nanomaterials.
Starptautiska projekta daļa:
Lithuanian-Latvian-Taiwan joint Project „New structures and methods of synthesis of
the materials for organic light emiting diodes”
Publications:
Published more than 300 works.
Last year publications:
1. E.Jecs, J.Kreicberga,V.Kampars, A.Jurgis, M.Rutkis. Novel azobenzene precursors
for NLO active polyuretanes: Sythesis, quantum chemical and experimental
characterisation. Optical materials, 2009, 31, pp.1600-1607
2. G.Seniutinas, L.Laipniece, J.Kreicberga, V.Kampars, J.Gražulevičius,
R.Petruškevičius, R.Tomašiūnas. Orientational relaxation of three different
dendrimers in polycarbonate matrix investigated by optical poling. J.Opt.A: Pure
Appl.Opt., 2009, 034003 (7 pp)
3. B.Stiller, M.Saphiannikova, K.Morawetz, J.Ilnytskyi, D.Neher, I.Muzikante,
P.Pastors, V.Kampars, Optical patterning of azobenzene and indandione containing
films, Thin Solid Films, Vol. 516, Iss.24, pp. 8893-8898, 2008
4. A.Ozols, M.Reinfelde, Dm.Saharov, K.Kundzins, V.Kampars, V.Kokars.
Holographic recording of surface relief gratings in tolyle-based azobenzene
oligomers. Thin Solid Films, 2008, 516, pp.8887-8892
5. V.Kampars, V. Kokars, E. Jecs, A. Tokmakovs, A. Jurgis, M. Rutkis
Supramolecular assembly of indandione based binary chromophore organic glasses
for NLO applications. Advanced Materials, 2008, pp1-16
6. V.Kampars, K.Malins, T.Rusakova. Influence of microwave heating and ultrasound
on purity of fatty acid methyl ester in synthesis with low catalyst concentration.
Proceedings of 18th INTERNATIONAL CONGRESS OF CHEMICAL AND
PROCESS ENGINEERING – CHISA, Praha, CD-ROM of Full Texts, 2008, pp.1-4
7. M.Rutkis, A.Jurgis, V.Kampars, A.Vembris, A.Tokmakovs, V.Kokars, Optimizing
the second order NLO performance of the host – guest polymer systems by tailoring
the chromophore structure, Molecular Crystals and Liquid Crystals, 2008, Vol. 485,
pp.903–914
8. G.Dobele, I.Urbanovich, A.Zhurins, V.Kampars, D.Meier. Application of anlytical
pyrolysis for wood fire protevtion control. J.Anal.Appl.Pyrolysis, 2007, 79, pp.47-51
9. G.Dobele, I.Urbanovich, A.Volpert, V.Kampars, E.Samulis. Fast pyrolysis.
Effectof wood drying on the yield and properties of bio-oil. BioResources, 2007, 2(4),
699-706.
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10. I.Muzikante, M.Rutkis, E.Fonavs, B.Stiller, D.Neher, V.Kampars, P.Pastors, Light
induced processes in thin films of indandione type organic molecules, SPIE
Proceedings, 2007, Vol. 6470, 647012
11. I.Kaulachs, I.Muzikante, G.Shlihta, L.Gerca, M.Plotniece, M.Roze, J.Kalnachs,
P.Shipkovs, A.Murashov, V.Parra, V.Kampars, PV effect in visible and infrared light
in P3HT/C61(CO2Et)2/GaOHPc blend and multilayer cells, Latv.J.Phys Tehn. Sci.,
2007, No.3, pp.61-68.
12. Dm. Saharov, A.Ozols, V.Kampars, V.Kokars, J.Kreicberga, S.Ratyeva. Influence
of chromophore group concentration on the holographic properties of spin-coated
azobenzene oligomers. Latvian Journ. of Phys. and Techn. Sciences, 2006, No2, pp.
59 –65.
13. G.Blazys, S.Grigalevicius, J.V.Grazulevicius, V.Gaidelis, V.Jankauskas,
V.Kampars. Phenothiazinyl-containing aromatic amines as novel amorphous
molecular materials for optoelectronics. Journal of Photochemistry and Photobiology.
A:Chemistry, 2005,pp.115-120
Patents:
LV 11344, 12257B, LV 13070 B, LV P-08-204, LV P-08-203, LV P 0975
Other activities:
Member of the State Scientific Qualification Committee;
Member of the Biofuels Development Advisory Council;
Member of the Latvian Association of University Professors board;
Chairman of Riga Technical University Senate;
Chairman of RTU promotion council H-01 and member of RTU promotion council
H-02;
4. NEK expert;
Chairman of the Standardization technical committee “Petroleum and Natural Gas
Products”;
Chairman of the study program „Chemistry” board;
Member of the International Association of humus substances;
Member of Latvian Academy of Sciences Senate;
Member of the Latvian Academy of Sciences presidium;
Chairman of the Latvian Academy of Sciences board;
General Secretary of the Latvian Academy of Sciences.
Honours and Awards:
Barricades participant memorial sign 1991;
Professor G.Vanags Medal (Riga Technical University)1994;
P.Valdens Medal 2007;
Co-author for the best 10 works included in Latvian scientific achievements list in
2007 and 2008;
2009 Scientist of the year in RTU
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CURRICULUM VITAE
Name: Arturs Medvids
Born: March 10, 1942, Velsk, USSR
Citizenship: Latvian
Nationality: Ukrainian
Home address: Zemaišu Str., 1/1-24, LV-1002, Riga, Latvia.
EDUCATION
1994, April Latvian University (Riga), degree Dr. habil. Phys., specialization:
Solid State Physics
1979, September Vilnius State University, Lithuania, degree Candidate of Sciences,
specialisation: Physics of Semiconductors and Dielectrics.
1968, June Kiev State University, Ukraine, specialization: Optics and
Spectroscopy.
WORK EXPERIENCE
2001 June- October Invited professor in Hamamatsu University, Japan.
1995 - Professor of Riga Technical University (Latvia).
1983, June Docent at Physics Department of Riga Technical University.
1989, May Head of Laboratory of Semiconductor Physics.
1975, September Assistant at Physics Department of Riga Technical University.
1969, June Senior engineer in Institute of Semiconductors of Ukrainian
Academy of Sciences (Kiev).
1967, July Engineer in Institute of Physics of Ukrainian Academy of
Sciences.
1959, June Laboratory assistant in Institute of Electric Welding of Ukrainian
Academy of Sciences.
SCIENTIFIC ACTIVITY
The field of scientific interest: investigation of the semiconductors: Si, Ge, GeSi/Si,
InSb, Te, CdTe, CdZnTe, SiC and ZnO under nonequilibrium conditions in
nonhomogeneous electric, magnetic and temperature fields, transport process in
semiconductors, metal (CoSi2) and dielectrics (SiO2, Si3N4), interaction of laser
beam with Solid State materials, Nanostructures formation on a surface of
semiconductors by laser radiation.
International Conferences:
1995, 1998, 2001, 2004, 2007. A member of the International Advisory Committee at
the 9 th-13th Symposium on Ultrafast phenomena in semiconductors, Vilnius,
Lithuania;
1996 - A member of the International Advisory and Program Committee: at the SPIE
Conf. on Optical Storage, Imaging, and Transmission of Information", Kiev,
Ukraine; At the SPIE Conf. Material Sc. and Material Prop. for IR
Optoelectronics Uzgorod, Ukraine. A member of the Organising Committee
and Chair / Editor at the SPIE Conf. Optical Material and Devices", Riga,
Latvia.
1997 - Invited lector at the School-Conference " Solid Sate Phys.", Katsyeveli,
Ukraine
1998 - A member of the International Advisory Committee: at the SPIE Conf."
Optical Storage", Kiev, Ukraine.
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1998 - A member of Editorial Board of J."Materials Science", Kaunas University of
Technology, Lithuania.
2001 - Invited professor in Research Institute for Electronics of Shizuoka University,
Hamamatsu, Japan.
2004 - Invited speaker at the 12th International Conference on Solid Films and
Surfaces, Hamamatsu, Japan.
Chairman of section at the 12th Annual International Conference on
Composites/nano Engineering, Tenerife, Spain.
2006 - A member of the International Advisory Committee: at the SPIE Conf."
RNAOPM’2006", Lutsk, Ukraine and Īntern.Conf. „Radiation Interaction with
Material and Its Use in Technologies”, Kaunas, Lithuania.
2008 - Invited speaker at the Īntern.Conf. „Radiation Interaction with Material and Its
Use in Technologies, Kaunas, Lithuania.
2009 - Invited speaker at the International Conference on Nanostructured Materials
and Nanocomposites, Kerala, India, 10-th International Young Scientists
Conference Optics and High Technology Material Science, Kyiv, and IV
Ukainian Sc.Conf. on Physics of Semiconductor, Zaporizhie, Ukraina.
2010- Chairman of the International Conference “ Inter-Academia 9th” , Riga, Latvia.
2009-2010 - Honourable Guest Professor of Shizuoka University, Japan.
More than 428 scientific publication and patents (74 patents,
monographer of 2 books).
MEMBERSHIP
SPIE, Latvian physics society.
LANGUAGES
Ukrainian, Latvian, English, Russian.
27.10.2011. A. Medvids
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Curriculum Vitae
1. First name, Last name: Ņiķita Nadežņikovs
2. Personal code: 080434-11229
3. Place of birth: Viesite, Latvia
4. Place of job: Associate professor, Riga Technical university (RTU), Faculty of Power and
Electrical Engineering, Riga, LV-1048, Latvia, 1Meža str., phone +371 7089500
5. Home address: 222c Maskavas str. Apr. 12, Riga, LV-1019, Latvia, phone. +371 67145349
6. LR scientific degree: Dr. phys.Diploma E-D Nr. 000184
7. Professional experience:
Foreman - electrician, plant “Kaija”, Riga,1957-59;
Engineer, Institute of Energetics, Sc. Academia, Latvia 1959-61;
Engineer, plant of Semiconductor Apparatus, 1961-63;
Engineering manager, Institute of Physics, Sc. Academia, Latvia 1963-1966;
Assistant, Riga Polytechnical institute (RPI), 1966-69.
Post-graduate, Riga Polytechnical institute (RPI), 1969-1972.
Assistant, lecturer, docent, RPI and RTU, Riga, 1972-1998;
Associate professor, RTU, 1998 - present.
8. Educational experience:
Courses and laboratory: Theory of electrical engineering, Theory of electrical circuits,
Electricity and magnetism, Electronics.
Co-author of 1 text-books of basic electrical engineering.
9. Area of research activity: Research and calculation of electromagnetic field in electrical
equipment.
10. Research activity: since 1975 have been supervisor of more than 16 scientific works and
projects.
10.1. -
10.2. -
11. Main scientific publications durig the last 5 years:
Science and technology dictionary. Publishing house “Norden AB”, 2009. (In the co-
authorship).
12. Total number of scientific publications: more than 70.
13. Languages used: Latvian, Russian, English.
14. Prolonged education
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Curriculum Vitae
Ivars Raņķis
Identity number: 011037 - 10406
Riga, Višķu street 5-40, phone at home 67-267616, phone at work 67-089916
Born in 1 October, 1937 in Riga
Latvian
Married, 2 children
Education
1992. Defended the scientific work summary for Habilitated Doctoral degree in Riga.
1970. Defended the thesis for Candidate of Technical Sciences degree in
Dnepropetrovsk.
1966. – 1969. Postgraduate course in Riga Polytechnical Institute.
1958. – 1960. Faculty of Power Engineering of Riga Polytechnical Institute, specialty
engineering-electric mechanic.
1955. – 1958. Faculty of Mechanics of Latvian State University.
1944. – 1955. Riga 28th secondary school
Pedagogical work experience
Since 1998 professor in RTU at energoelectronics direction.
Since 1993 professor in RTU at Department of automated electrical drive.
1993. - 2000. part-time professor in Latvian Maritime Academy.
Since 1969 docent in Riga Polytechnical Institute at Department of industrial and
transport electrification, later Department of automated electrical drive.
During pedagogical activities read lectures in such subjects as “Production Systems
Automation”, “Electrotechnological Equipment”, “Semiconductor converters”,
“Power Electronics”, ‘Elements of Electrical Drives”, “Electrical Machines”, “Basics of
Regulation Theory”, “Automated ship electrical drives”, “Electronic Equipment”.
Practically in all these subjects prepared and published 18 methodological materials.
In last 6 years published 9 Pēdējos 6 gados publicējis 9 methodological materials in 7
subjects.
Participated in RTU preparation and accreditation of study program Computerised
Control of Electrical Technologies in 2002 and 2004 for full time and part-time
bachelors academic and professional studies, master academic and professional
studies and doctoral studies.
Industrial work experience
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Since 1958 till 1960 worked in Riga Electric Machine Building Works as electrician-
tester in Transport electrical equipment production department A-1.
Since 1960 till 1966 worked as engineer-constructor in special traction electrical
equipment constructors office of SKBt wagon electrical equipment office. He has
been wagon-power plant equipment designer as well as engineer for these products
production in building works.
Scientific work experience
He has published in total 230 scientific publications, including 1 scientific
monograph, 18 teaching-methodical books, as well as many popular-science
publications in periodicals. In the last six years in various Latvian and foreign
scientific papers published 39 scientific publications.
Since 1994 till 2004 member of energy experts council of Latvian Scientists
Association and Latvian Council of Science.
Member of RTU and Kaunas University of Technology periodical scientific
publications and scientific conferences “Power and Electrical Engineering” and
“Electronics” editorial board and organizing committee.
He is author for 50 inventions in former USSR and Latvia in electrical engineering.
In last 6 years he has submitted and received 6 LV invention patents.
Professional advancement
1994. Stockholm Institute of Technology
1986. Sofia Polytechnical Institute.
1985. Moscow Power Institute.
Organizational competence
Since 1993 chairman of RTU FPEE trade-union bureau and member of RTU trade-
union committee.
Since 1993 member of RTU FPEE Council.
Since 2002 deputy chair of Industrial Electronics and Electrical Engineering Institute.
Since 1993 member of RTU periodical publication “Power and Electrical Engineering”
(Series 4) editorial board.
Language proficiency
Latvian, Russian and English at conversation and writing level, Swedish at reading
level.
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Curriculum Vitae
1. General information
Professor Leonids RIBICKIS
Rector of Riga Technical University
Director of Institute of Industrial Electronics and Electrical Drives,
Phone: +371 708 9300;
Fax: +371 782 0094
E-mail: [email protected]
2. Education
13 Education institution Riga Technical University
Period of time From 1974 till 1978
Title of qualification awarded Doctor’s degree
14 Education institution Riga Technical University
Period of time From 1965 till 1970
Title of qualification awarded Higher education
15 Education institution Cesis High School No.1
Period of time Graduated in June 26th, 1965
Title of qualification awarded Secondary education
3. Academic and Scientific degrees
Academician of Latvian Academy of Sciences (from 2007) (No. A-166)
Corresponding Member of Latvian Academy of Sciences (from 2001 till 2007) (No.
K-235)
RTU Professor (from 2000) (Diploma No. 12)
Habilitated Doctor of Engineering Sciences (from 1994) (B-Dh No. 000080)
Doctor of Engineering Sciences (from 1992). (B-D No. 000023)
Associate professor of Department of Electrical Drives and Power Electronics (from
1986) (ДЦ No. 087991)
Candidate of Technical Sciences (from 1980) (TH No. 043125)
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4. Employment
2011 – till now Rector, Riga Technical University
2011 – till now Chairman of the Board, Latvian Association of Universities
2000 – 2011 Vice-Rector for Research, Riga Technical University
2002 – 2003 Chairman of Council, SSC Latvenergo
2001 – 2002 Member of Council, SSC Latvenergo
2001 – till now Head of Department of Industrial Electronic equipment, Riga Technical
University Faculty of Power and Electrical Engineering
2000 – till now Chairman of Council, Latvia Technology Park
1999 – till now Director of Division of Industrial Electronic equipment, Riga Technical
University Faculty of Power and Electrical Engineering
1994 – till now Professor of Division of Industrial Electronic equipment, Riga
Technical University Faculty of Power and Electrical Engineering
1996-2000 Director, Latvia Technology Park
1992 -1999 Director, Latvian – Germany management and consultations joint
venture „AB&RTU”, Ltd.
1987 – till now Scientific Director, Riga Technical University, Faculty of Electrical
Engineering, Research Laboratory of Electromechanotronics
1986-1987 Visiting Professor, Wisconsin – Madison University, WEMPEC
Research Center, USA
Year 1984 Internship at Moscow Institute of Energy
1983-1994 Associate Professor, Riga Technical University, Department of
Electrical Drives and Power Electronics
1980-1983 Senior Lecturer, Riga Technical University, Department of Electrical
Drives and Power Electronics
1979-1980 Visiting Researcher Budapest Technical University, Department of
Electrical Machines, Hungary
1975-1980 Research Associate, Riga Technical University, Department of
Electrical Drives and Power Electronics
1970-1975 Engineer, Researcher, Senior Researcher, Head of Research Group,
Laboratory of Power Traction Equipment, Riga Branch of SU Railway
Carriage Building Research Institute,
5. Languages
118
(Evaluation from 1 till 5 (1 - low; 5 - fluent))
Reading Speaking Writing
English 5 5 5
Russian 5 5 5
German 4 3 3
6. Member and Chairman of different European Union and Latvian Council of Science
Expert Communions, Science Councils and associations
Member of the Board of World Power Industry Council’s Latvian National
Committee (from 1992)
Head of Latvian sub department of International Institute of Electrical and Electronics
Engineers
Member of European Power Electronics and Drives Association
Member of the Board and Assembly of European Power Electronics and Drives
Association
Member of the Board of Power Electronics and Motion Control
Member of Union on Energetics
Member of Latvian Union of Scientists
Member of Latvian Electrical Engineers Society
Member of Associations of Professors of Latvia
Member and Chairman of the Board for Foundation “CONNECT Latvia” (from 1998
till 2006)
Member of the Board of Foundation of Scientific Technological Park RVP (from
2003)
Member of the Board of Latvian Power Industry and Electro technic manufacturing
(from 2001)
Member of “Euroscience” Union of European Scientists
Member of the Board and President of Latvian Association of Technology Parks,
Centres and Business Incubators (from 1999 till 2003)
Vice-President of Academy of Intellectual Property and Innovations (from 2000 till
2003)
Member of the Extended Board of Latvian Confederation of Manufacturing (from
1998 till 2005)
Member of the Board of Excellence Web of European Power Electronic Research
organizations (from 2009)
Member of Assembly of European Power systems Research Center ARTEMIS (from
2008)
119
Member of Latvian National Economy Council (from 2002)
Delegate and Expert of Republic of Latvia at Energy Commission of European 7th
Framework Program
Member of the Board of World Energy Council
7. Scientific publications
Altogether: 397 publications, incl. 20 monographs and 63 patents
Databases: Thomson Scientific, EBSCO, CSA/PROQVEST, IEEE Explore, ISI WEB of
Knowledge, INSPEC, VINITI, VERITAS
More than 30 popular-science articles in journals
8. Awards in Science and Research
Prize “USSR Inventor” 1986
United Kingdom prize “UK Royal Award” 1993
Acknowledgement of Ministry of Higher Education and Science of Republic of
Latvia for significant contribution in development of RTU Scientific activities 2002
Prize in the name of Professor A.Vitols from Latvian Academy of Sciences and
Latvenergo 2006
Prize of Tallinn University of Technology for promotion of long term cooperation
between Riga Technical University and Tallinn University of Technology 2006
Acknowledgement of Ministry of Higher Education and Science of Republic of
Latvia for significant contribution in development of Latvian Science activities 2007
Acknowledgement of Ministry of Economics of Republic of Latvia for promotion of
innovations and new technology development in Latvia 2007
Diploma from Lithuanian Academy of Sciences for the best paper in the International
electronics conference 2007
Acknowledgement of Tallinn University of Technology for contribution in
international science cooperation 2009
Award of European Power Electronic Association for significant contribution in
organizing international scientific conference 2010
9. Organizational activities:
Member of Latvian Council of Science (from 2002)
Member of the working group for developing Concept of National Innovation
program (Resolution of Prime Minister from 2000.07.13, № 268);
Member of Ministry of Economics National Economy Council (from 2001)
120
Member of the Latvian – Italian cross border cooperation agreement implementation
working group (from 1998)
Public Member of Riga City Municipality Transport’s Department in questions of
electorviecles
Consultant of Riga City Municipality Transport’s Department in questions of
electorviecles, electric and power systems
Delegate of Republic of Latvia at DG Research “Energy” and “TREN” commissions
of EU 5th Research and development Framework program
Delegate and Expert of Republic of Latvia at EU 6th Framework program
“Sustainable Development, Global Change and Ecosystems”
Delegate and Expert of Republic of Latvia at subprogram „ENERGY” of EU 7th
Framework program (from 2007)
RTU rector
RTU Vice-Rector for Research, Director of Division, Head of department
Member of Senate of RTU and Member of Council of Faculty of Power and
Electrical Engineering
Chairman of the RTU Promotion Council for Electro technic sciences
Member of the RTU Promotion Council for Power industry sciences
Chairman of the RTU Professor Council for Electro technic sciences
Member of the RTU Professor Council for Power industry, Electro technic and
transport sciences
Member of the Riga Technical Collage Council
Member of the editorial staff for Journal “Energy and The World”
Member of the editorial staff for RTU Journal “Power industry and Electro technic”
Member of the editorial staff for RTU Publishing house
Member of the editorial staff for RTU periodic Journals “RTU Scientific Research”,
“RTU Scientific Research Activities” and “RTU doctoral programs”
Member of the Organizing Committee of “Baltic Dynamic” conference (from 1996 –
till 2003)
Member of the Organizing Committee of annual RTU International – Scientific
Conference (from 2001 – till 2010)
General-Chairman of 11th Worldwide Power industry and Motion Control
Conference EPE_PEMC (2004)
Co-Chairman for International Power Electronics Conference 2005 in Dresden,
Germany (2005)
121
Co-Chairman for International Power Electronics and Motion Control Conference
2006 in Portoroz, Slovenia (2006)
Co-Chairman for International Power Electronics Conference 2007 IN Alborg,
Denmark (2007)
Co-Chairman for International Power Electronics and Motion Control Conference
2008 in Poznan, Poland (2008)
Co-Chairman for International Power Electronics Conference 2009 in Barcelona,
Spain (2009)
Co-Chairman for International Power Electronics and Motion Control Conference
2010 in Ohrid Republic, Macedonia (2010)
Co-Chairman for EPE 2011 Conference in Birmingham, UK (2011)
Member of International Expert Commissions for Conferences:
o International Power Electronics and Motion Control Conference 1996
Hungary
o International Power Electronics Conference 1997, Norway
o International Power Electronics Conference 1999, Switzerland
o International Power Electronics Conference 2001 Austria
o International Power Electronics Conference 2003 France
o International Power Electronics Conference 2005 Germany
o International Power Electronics and Motion Control Conference 1998 the
Czech Republic
o International Power Electronics and Motion Control Conference 2000
Slovakia
o International Power Electronics and Motion Control Conference 2002 Croatia
o International Power Electronics and Motion Control Conference 2004 Latvia
o International Power Electronics and Motion Control Conference 2006
Slovenia
o AEP 2002, AEP 2003, AEP 2004; BEC 2003, PEC 2000, PEC 2001, PEC
2002, PEC 2003, PEC 2004;
L.Ribickis
122
CURRICULUM VITAE
Kārlis Šadurskis Date and place of birth: October 11, 1959. Riga, Latvia Nationality: Latvian Work experience:
Since 1982 Riga Technical University, Probability Theory and Mathematical
Statistics Department, present occupation Professor.
From 2002 to 2004 Minister for Education and Science Republic of Latvia
From 2004 to 2011 Member of Parliament of Latvia
From 2009 to 2010 Parliamentary secretary of Ministry of Defence
From 2010 to 2011 Secretary of the Parliament of Latvia
Education: 1982 graduated from Riga Technical University, Applied Mathematics specialty.
Scientific degree: Doctor of Mathematics (Dr.Math.).
Scientific work.
Special field: Qualitative theory of the stochastic functional differential equations,
Probability theory and mathematical statistics, asymptotical methods and their applications
for the analysis of stochastic dynamics of microeconomic mathematical models.
Papers:
Latest since 2005:
1. J.Carkovs, K.Šadurskis. Mean square stability of linear dynamical systems with Markov coefficients. // Plenary lecture, 4th International conference APLIMAT, Bratislava 2005, pp.85 – 97.
2. V.Minkevica, K.Sadurskis. Stochastic model of an adaptive Samuel-Marshall type single component market.// Proceedings of the 12th International conference on analytical and stochastic modelling techniques and applications, Riga, 2005 pp.91 – 93.
3. J.Carkovs, K.Šadurskis. Averaging method for retarding Quasilinear dynamical systems with rapidly oscillating perturbations. // Proceedings of the Latvian Academy of Sciences, Vol. 59, 2005, Nr. 6, sect. B, pp. 245 – 254.
4. J.Carkovs, K.Šadurskis. Asymptotic methods for retarding Quasilinear dynamical systems. // Plenary lecture, 5th International conference APLIMAT, Bratislava 2006, pp. 93 – 110.
5. J.Carkovs, K.Šadurskis. Asymptotic stochastic analysis of fast oscillating retarding dynamical systems. // 6th Latvian Mathematical Conference, Liepāja, April 7 – 8, 2006. Acta Societatis Mathematicae Latviensis. No 7, 2006, p. 17.
123
6. А.Матвеев, В.Царькова, К.Шадурскис. Марковская модель авторегрессии с гетероскедастичным остатком. // Міжнародна науково – практична конференція „Інтелектуальні системи прийняття рішень та інформаційні технології”, 17 – 19 травня 2006 p., Чернівці, 2006, c. 111 – 114.
7. J.Carkovs, K.Šadurskis. On delayed stochastic exponent. // Plenary lecture, 6th International conference APLIMAT, Bratislava 2007, pp. 463 – 469.
8. A.Matvejevs, K.Šadurskis. Markov approach to the construction of nonlinear autoregressive models. // Plenary lecture, 6th International conference APLIMAT, Bratislava 2007, pp. 471 – 482.
9. J.Carkovs, K.Šadurskis. Exponential stability of fast oscillating linear functional differential equations // 7th International conference APLIMAT, Bratislava 2008, pp. 195 - 201.
10. J.Carkovs, K.Šadurskis. Exponential stability of fast oscillating linear functional differential equations // Journal of Applied Mathematics, Volume 1(2008), No. 1, pp. 133 - 139.
11. J.Carkovs, K.Šadurskis. Integral continuity and the law of large numbers for fast oscillated random evolutions // Abstracts of the 7th Latvian Mathematical Conference, Rezekne, April 18 – 19, 2008. Acta Societatis Mathematicae Latviensis. 2008, p. 11.
12. A.Matvejevs, K.Šadurskis. Copula based nonparametric regression estimation // 8th International conference APLIMAT, Bratislava 2009
13. K.Šadurskis. Damping of cutting tool's vibrations in trace turning. Abstracts of MMA2009, May 27 - 30, 2009, Daugavpils, Latvia, 2009.
14. Andrejs Matvejevs, Šadurskis Kārlis. Autoregressive Models of Risk prediction and Estimation Using Markov chain approach. Proceedings of 9ht International Conference APLIMAT`2010. February, 2-5, Bratislava, Slovakia, p.p. 217- 223.
15. A.Matvejevs, K.Šadurskis. Autoregressive models of risk prediction and estimation using Markov chain approach // Journal of Applied Mathematics, Volume 3(2010), No. 2, pp. 127 - 133. 16. J.Carkovs, K.Šadurskis. Inverse Lyapunov theorem for stochastic functional differential equations. Abstracts of MMA 2010, April 9 - 10, 2010, Valmiera, Latvia, 2010. 17. K.Šadurskis. On price equilibrium of stochastic market. Abstracts of MMA 2011, May 25-28, 2011, Sigulda, Latvia, p.111.
Lecture notes:
Latest since 2005:
1. V.Carkova, K.Šadurskis. Gadījuma procesi. Mācību līdzeklis. Rīga, RTU, 2005, 205 p., web address: http://mspi.itl.rtu.lv/Sadurskis/
2. K.Šadurskis, A.Pola. Programmatūras pakotne Mathematica: iepazīsimies un sāksim strādāt. Rīga, RTU, 2011., 44 p.
3. V.Carkova, J.Carkovs, K.Šadurskis. Gadījuma procesi. Rīga, Zelta Rudens, 2011., 160. p.
4. O.Pavļenko, K.Šadurskis. Varbūtību teorija un matemātiskā statistika. Lekciju konspekts. Rīga, Zelta Rudens, 54 p.
5. O.Pavļenko, K.Šadurskis. Varbūtību teorija un matemātiskā statistika. Praktiskie darbi. Rīga, Zelta Rudens, 78 p.
124
Participation in International conferences and congresses: 12 during last 5 years. Bratislava
2005., Bratislava, Liepāja, Chernivci 2006., Bratislava 2007., Bratislava, Rēzekne 2008.,
Bratislava, Daugavpils 2009., Bratislava, Valmiera 2010., Sigulda, 2011.
Scientific management of research projects:
1. In 2005. Project Nr. ZP/2005-01 Heteroskedastic Models For Value At Risk Forecasting.
2. In 2008. Project Nr. IZM R7388 Copula based auto regressive models of risk prediction.
3. In 2009. Project Nr. FLPP-2009/8 Asymptotic methods design for stochastic modeling.
Participation in research Projects financed by Latvian Council of Science:
1. Since 2005 research project 05.1879 Asymptotical analysis of stochastic stability. 2. Since 2001 research project 01.0579 Asymptotical methods of stochastic analysis.
International scientific cooperation: Since 2006 manager of scientific cooperation according to
the contract on cooperation among Chernivtsy National University, Ukraine National Technical
University (Kiev) and Riga Technical University
Academic work:
Courses: Probability Theory and Mathematical Statistics, Stochastic Processes, Applied
Statistics, Multivariate Analysis, Mathemtics of Finance.
Scientific management of Bachelor and Master theses.
Other activities:
- Member of SEFI – Société Européene pour la Formation des Ingénieurs MWG – Mathematics Working Group;
- member of Latvian Mathematical Society; - member of Latvian Association of Scientists; - member of Latvian Statistics Society; - evaluation committee expert of Higher Education Quality Evaluation Centre
(HEQEC); - member of Promotion Council «RTU P–07» in Information Technologies - member of the political party Civic Union, member of the board.
State awards:
- The Commemorative Medal of the Participant of the 1991 Barricades - NAF Commander Award – 1st class Sign of Honour “For the Contribution”
Language proficiency: Latvian – native, English and Russian – fluent.
Marital status: Married, daughter 20.
Kārlis Šadurskis
October 20, 2011
125
CURRICULUM VITAE
PERSONAL INFORMATION
First name, surname: Elina Gaile-Sarkane
E-mail: [email protected]
Telephone at work:+371 67089425
LANGUAGE PROFICIENCY
Mother tongue: Latvian
Other languages: English, Russian
EDUCATION
1999 -2003
Riga Technical University, Faculty of Engineering Economics, Doctoral Studies,
research: “Models of Information Business in Latvia”
1996-1999
Riga Technical University, Faculty of Engineering Economics,master Studies, research:
“The Promotional Models of Demand and Sale”.
1996-1996
Riga Technical University, Faculty of Engineering Economics, Bachelor Studies
1991-1996
Riga Technical University, Faculty of Chemical Technology, Bachelor Studies
SCIENTIFIC DEGREES
Dr.oec. (2003), Defended in RTU Promotional Council P09, dissertation “Models of
Information Business in Latvia”
PROFESSIONAL ADVANCEMENT
June 18-25, 2008, Harvard Business School, EECPCL program (Entrepreneurship
Education colloquium on Participant-Catered Learning), Boston, USA
November 2007, LIKTA conference “The role of ITT in rising of state
competitiveness and productivity of SME’s “
10-22 June, 2007, IMTA (International Teachers management Academy),
CEEMAN, Bled Slovenia,
November 2006, LIKTA conference “Joint in the Way to Information Society ”
April 2004, RTU TIC „Innovations in Higher Education”, Course of professional
skill improvement
February 2004, EteRa, „E-commerce and the society of Information”, conference-
seminar
September 2002, Lauva Mārketings, „Active Selling”, workshop
March 2000, Mercuri International, „Development of the Team”, seminar
126
September 1999 International Trendseters Corp. Inc., „Five Star Service” seminar
December 1998, Mercuri International, „Efficiency of Leadership”, seminar
WORK EXPERIENCE
2010 – up to now
Riga Technical University, Faculty of Engineering Economics and Management, Head of
Management department
2009- up to now
Riga Technical University, Faculty of Engineering Economics and Management, Professor
2007-2009
Riga Technical University, Faculty of Engineering Economics and management, E-
Environment Development manager
2006-2009
Riga Technical University, Associated Professor
2003-2006
Riga Technical University, Assistant Professor (Docent)
2003-up to now
“Komunikāciju Darbnīca” Ltd. Consultant
2001-2003
Riga Technical University, Lecturer
2001-2002
Higher School of Social Technologies, Lecturer
1998-2000
“LatvijasTālrunis” LTD. Head of Marketing Department
1997-1998
“Latvijas Tālrunis” LTD. Assistant of Sales Manager
1995-1997
“Rīgas karstā līnija” LTD. Sales Manager
RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS
2008-2010
Multilateral Projects, Leonardo Da Vinci Lifelong Learning Programme, Transfer of
Innovation Project “Sustainability and social responsibility through learning in SME”, No. LLP-
LdV-TOI-2008-LT-0021, Project leader
2008-2009
Grant FLPP-25/2009 “Methodology of SWOT Analysis for Development of Sustainable
Growth Strategy for Small and Medium Enterprises”, Project leader
2007
Grant No R7215 “Possibilities of Analysis of Dynamic Business Environment: Research
network development”, supported by Ministry of Science and Education of Latvia, Project
leader.
2007
Member of editorial board of RTU International Scientific conferences.
2006
127
Member of editorial board of RTU International Scientific conference.
2004-2007
Grant Nr. 04.1026 by SC of Latvia “The role of information resources in the development
of Entrepreneurship in Latvia”; researcher;
2001-2003
Grant Nr. 01.0566 by SC of Latvia “The Models of Latvian information market
development”, researcher; 2002-2003
Grant PhD students by SC of Latvia;
PUBLICATIONS
Scientific publications
1. Information Technologies as a Tool for Changes in Consumer Behaviour // Andersone I., Gaile-sarkane E.// Society, Man Nature. Management and Sustainable Development. Volume 26. – Univeristy of Forestry, Sofia, Bulgaria, 2010. – 80-87 pp. (ISSN 1311-4506)
2. Значение социальных интернет-сетей в предпрининимательской деятельности для повышения конкурентоспособности /Sceulovs D., Gaile-Sarkane E.// Society, Man Nature. Management and Sustainable Development. Volume 26. – Univeristy of Forestry, Sofia, Bulgaria, 2010. – 133-139 pp. (ISSN 1311-4506)
3. Electronics Tools for Company’s Presence, identification and Marketing in E-envirnment: Theory and Practice/ Sceulovs D., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 775-782 pp. ISSN 1822-6515 (EBSCO host)
4. Scientific Capacity of Products of Innovative Activities in Latvia / Magidenko A., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 655-661 pp. ISSN 1822-6515 (EBSCO host)
5. Diversity of Marketing – Trends and Development/ Gaile-Sarakne E./ 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 478-482 pp. ISSN 1822-6515 (EBSCO host)
6. On Social Behavior as a Base of Consumption/ Andersone I., Gaile-Sarkane E.// 15th International conference on Economics and Management ICEM 2010, 22-23 April 2010, Selected papers. Kaunas. Tehnologija, 2010. – 359-365 pp. ISSN 1822-6515 (EBSCO host)
7. Consumer Expectancy Theory for Business // Andersone I., Gaile-Sarkane E.// 6th International Scientific Conference, May 13-14, Vilnius, Lithunia, BUSINESS AND MANAGEMENT 2010, Selected papers. Vilnius 2010., 321-327 pp., ISSN 2029-4441, doi 10.3846/bm.2010.043 (ISI proceedings)
8. Identifications of Factors Affecting Consumer Habits in the E-environment/ Sceulovs D., Gaile-Sarkane E.// 6th International Scientific Conference, May 13-14, Vilnius, Lithunia, BUSINESS AND MANAGEMENT 2010, Selected papers. Vilnius 2010., 965-970 pp., ISSN 2029-4441, doi 10.3846/bm.2010.043 (ISI proceedings)
9. Information Technologies as a Tool for Changes in Consumer Behaviour/ Andersone I., Gaile-Sarkane E. // Management and Sustainable Development, Volume 26, University of Forestry, Sofia, Bulgaria, 2010 – 80-87 pp. (ISSN 1311-4506)
10. Значение социальных Интернет-сетей в предпринемательской деятельности для повышения конкурентоспособности/ Ščeulovs D., Gaile-Sarkane E.// Management
128
and Sustainable Development, Volume 26, University of Forestry, Sofia, Bulgaria, 2010 – 133-139 pp. (ISSN 1311-4506)
11. Thrends in Development of E-Business Models in the European Union // Business
Development Possibilities in the New European Area. Scientific Proceedings. Part
II – Vilnius, Vilnius University, 2005. – 216. – 219. pp.
12. The Consumption of Information Products: Economic Values and the Information Society // Transformations in Business & Economy. Vol.5, No 1 (9), 2006. Scholary papers. – Brno-Kaunas-Riga-Vilnius, 2006. – 65. – 80. pp.(ISSN 1648-4460)
13. Impact of E-Commerce on Marketing Development //Economics&Management, 2007, International Scientific Conference Proceeding , Kaunas University of Technology. - ISSN 1822-6515. – p356-362 (EBSCOhost AN 225963514)
14. Dynamics of Capital Market: Changes in Latvian Consumer Behavior // The 12th World Multi-Conference on Systemics, Cybernetics and Informatics June 29th -July 2nd, 2008 Orlando, Florida, USA. Volume VI, Proceedings. 30 – 34 p. (ISBN -13: 978-1-934272-36-7)(ar līdzautoriem)
15. What Does the E-Customer Really Wants?// International Scientific Conference „Economics and Management 2008”, Kaunas, Aprill 10-11, 2008, International Scientific Conference Proceedings – CD ROM 256.-260. pp. ISSN 1822-6515
Teaching materials
- Basics of E-Marketing. Study aid. – R.: RTU Publishing house, 2005. –
232 pp.
- Electronic Commerce. Study aid. – R.: RTU Publishing house, 2003. – 60
pp.
- Situations and cases in marketing. Study aid. – .: RTU Publishing house,
2006. – 132 pp. (with co-authors)
- Situations and cases in marketing. Study aid. – .: RTU Publishing house,
2004. – 75 pp. (with co-author)
PEDAGOGICAL WORK
Length of pedagogical work experience in higher education
2000 up to now is 11 years
Courses taught
- Marketing - Marketing Theory - E-Marketing - E-Commerce - Product Design and Development
ORGANISATIONAL SKILLS AND COMPETENCES
- Chair of Steering Committee of Annual International conference of
Economics and Managemment ICEM 2010, April 22-23, Riga (Latvia)
- Member of Steering Committee of BMDA 7th Annual Conference Flying
Through Turbulence- Transformation for the Future”, May 14-15, 2010,
Riga (Latvia)
- Chair of Steering Committee of BMDA 5th Annual Conference
Tomorrow’s Leaders”, May 8-10, 2008, Vilnius (Lithuania)
129
- Chair of Organizing Committee of 1st International Summer School for
Doctoral Students “Creative Business Environment: Possibilities of
Research”, August 20-23, 2007, Riga technical University, Riga (Latvia)
- Member of Steering Committee of BMDA 5th Annual Conference “Future
of the Region – people Behind Prosperity”, May 10-11, 2007, Oslo
(Norway)
- Member of organization committee of International scientific Seminar
„Small Business management: Innovation, Strategy, Values” June, 28-30,
2006, Riga (Latvia)
- Member of organization committee of International scientific „ Knowledge
Based innovative entrepreneurship development” December 8, Riga
(Latvia)
- Member of program committee of 4th International Scientific Conference
„Business and Management” October, 5-6, 2006, Vilnius (Lithuania) - Member of organizational committee of International Scientific Seminar (EU
6th Framework Support, Project No G1RD-CT-202-00713) „Prominence”, February 18, 2005, Riga (Latvia)
ADDITIONAL INFORMATION
- Award of Riga Technical University Parliament of Students „Teacher of the Year 2010”
- Award of Riga Technical University Parliament of Students „Teacher of the Year 2009”
- Award of Riga Technical University Parliament of Students „Best Speaker of the Year 2008”
- Award of Riga Technical University Parliament of Students „Teacher of the Year 2007”
- Laureate in Award ceremony „Teachers’ award” in nomination „Best Teacher 2007”
- Laureate in Award ceremony „Teachers’ award” in nomination „Best Orator 2006”
- Laureate in Award ceremony „Teachers’ award” in nomination „Most Interesting Teacher of the Year 2006”
- Laureate in Award ceremony „Teachers’ award” in nomination „Best Teacher 2005”
- Nominated to the award „Young Researcher of RTU 2006”
Patent No. 13890, issued 12.01.2009. „The method for separation and spread of butter and
similar substances and the device of disposal”. Authors: I. Jaunzeme, E. Gaile-Sarkane, V.
Zefirova, A. Plinta, I. Ulmane, M. Ozoliņš, K. Lūkina.
Elina Gaile-Sarkane February 10, 2011
.
130
Europass Curriculum Vitae
Personal information
First name(s) / Surname(s) Vjačeslavs Šitikovs
Address(es) 18/3-23 Salaspils Street, Riga, LV-1057, Latvia
Telephone(s) +371-67189917 Mobile: +371-29214062
Fax(es) +371-67089094
E-mail [email protected]
Nationality Russian
Date of birth 09/03/ 1951
Gender Male
Occupational field Associated professor of Riga Technical University
Work experience
Dates 2005 – present
Occupation or position held Associated professor
Main activities and responsibilities Responsible lector for courses: “Project Management Information Systems” (undergraduates - 2 credit points), “Application Programs” (bachelors - 2 credit points, college – 6 credit points), “Functional Programming” (bachelors, 2 credit points), “Information Systems Security” (professional bachelors, professional undergraduates – 2 credit points)
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 2005 – 2008
Occupation or position held Project Manager
Main activities and responsibilities A set of European Structural Funs and 6th Framework programme projects
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
131
Dates 1985 - 2005
Occupation or position held Assistant professor
Main activities and responsibilities Responsible lector for courses: “Project Management Information Systems” (undergraduates - 2 credit points), “Application Programs” (bachelors - 2 credit points, college – 6 credit points), “Functional Programming” (bachelors, 2 credit points), “Information Systems Security” (professional bachelors, professional undergraduates – 2 credit points), “Multiuser Computer Systems” (bachelors - 2 credit points), “Operating Systems” (undergraduates - 2 credit points)
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 2000 - 2001
Occupation or position held Research and Development Direcor
Main activities and responsibilities Various Web- projects (UML, Java, XML, Linux)
Name and address of employer Comwell Systems Ltd., 70 Dzelzavas Street, Riga, LV-1035, Latvia
Type of business or sector Software development company
Dates 1996 - 1999
Occupation or position held Head of Banking Technology Department
Main activities and responsibilities Provision and monitoring of ongoing banking operations, development and implementation of new banking products and services
Name and address of employer Parex Bank, 3 Smilsu Street, Riga, LV-1522, Latvia
Type of business or sector Banking
Dates 1995 - 1997
Occupation or position held Project Manager
Main activities and responsibilities New banking systems selection
Name and address of employer Parex Bank, 3 Smilsu Street, Riga, LV-1522, Latvia
Type of business or sector Banking
Dates 1991 - 1991
Occupation or position held Project Manager
Main activities and responsibilities International projects development and implementation
Name and address of employer Joint Soviet-American Venture “Laiks-MS”, 3a Eksporta Street, Rīga, LV-1010, Latvia
Type of business or sector Software development company
Dates 1983 - 1990
Occupation or position held research assistant combined job
Main activities and responsibilities Team leader of large-scale cooperative projects
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1984 - 1985
Occupation or position held Senior Lecturer
Main activities and responsibilities Responsible lector for courses: “Operating Systems”, “Local Networks”, “System Programming”, “Basics of Programming Automation”
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1983 - 1984
Occupation or position held Assistant
132
Main activities and responsibilities Responsible lector for courses: “Programming”, “Software Systems”
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1980 - 1983
Occupation or position held research assistant
Main activities and responsibilities Team leader of large-scale cooperative projects
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1978 - 1980
Occupation or position held post-graduate student
Main activities and responsibilities Technical Cybernetics. Thesis “Models and Methods of Representing of Learning Programs and Their Implementation in the Computer-based Dialogues Systems”
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1974 - 1978
Occupation or position held Assistant
Main activities and responsibilities Workshops on the course “Programming”
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Dates 1973 - 1974
Occupation or position held Senior Programmer
Main activities and responsibilities Programming
Name and address of employer Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia
Type of business or sector Higher Education
Education and training
Dates 2009
Title of qualification awarded Certified Specialist
Principal subjects/occupational skills covered
Technical, Administrative, Financial and Legal Aspects of FP7 Project Preparation and Completion
Name and type of organisation providing education and training
European Commission Information Society Directorate General
Level in national or international classification
European
Dates 2009
Title of qualification awarded Certified Specialist
Principal subjects/occupational skills covered
Pedagogical skills development
Name and type of organisation providing education and training
Riga Technical University.
Level in national or international classification
International
Dates 2007 -2009
Title of qualification awarded Professional Development Unit
133
Principal subjects/occupational skills covered
Project Management Body of Knowledge
Name and type of organisation providing education and training
International Institute for Learning, Inc.
Level in national or international classification
International
Dates 2006
Title of qualification awarded Renewal of PMP (Project Management Professional)
Principal subjects/occupational skills covered
Project Management Body of Knowledge
Name and type of organisation providing education and training
Project Management Institute, Not-for-Profit Professional Association
Level in national or international classification
Global Association
Dates 2003-2006
Title of qualification awarded Awarded 14 PDU (Professional Development Unit) in the area of Project Management
Principal subjects/occupational skills covered
Project Management Body of Knowledge
Name and type of organisation providing education and training
International Institute for Learning, Inc.
Level in national or international classification
International
Dates 2004
Title of qualification awarded Certified Specialist
Principal subjects/occupational skills covered
Technical, Administrative, Financial and legal Aspects of IST Project Preparation and Completion
Name and type of organisation providing education and training
European Commission: Information Society Directorate General
Level in national or international classification
European
Dates 2004
Title of qualification awarded Certified Project Manager
Principal subjects/occupational skills covered
European Structural Funds Projects Management
Name and type of organisation providing education and training
Ministry of Education and Science of Latvian Republic and “Infosab” Ltd.
Level in national or international classification
National
Dates 2003
Title of qualification awarded Project Management Professional (PMP)
Principal subjects/occupational skills covered
Project Management Body of Knowledge
Name and type of organisation providing education and training
Project Management Institute, Affiliation in Sank. Petersburg
Level in national or international classification
International
134
Dates 2003
Title of qualification awarded Certified Project Manager
Principal subjects/occupational skills covered
Project Management Body of Knowledge
Name and type of organisation providing education and training
International Management Institute of Saint Petersburg
Level in national or international classification
International
Dates 1996
Title of qualification awarded Certified System “GLOBUS” Specialist
Principal subjects/occupational skills covered
Banking Systems Development and Implementation
Name and type of organisation providing education and training
TEMENOS SYSTEMS (UK) Ltd.
Level in national or international classification
International
Dates 1992
Title of qualification awarded Certified Balance Accountant
Principal subjects/occupational skills covered
LTD. bookkeeping
Name and type of organisation providing education and training
Buhservice, Ltd.
Level in national or international classification
National
Dates 1978
Title of qualification awarded OS/360 programmer
Principal subjects/occupational skills covered
Programming
Name and type of organisation providing education and training
Scientific-Educational Centre” Algorithm”
Level in national or international classification
National
Dates 1977
Title of qualification awarded OS/360 System programmer
Principal subjects/occupational skills covered
System Programming
Name and type of organisation providing education and training
Scientific-Educational Centre” Algorithm”
Level in national or international classification
National
Personal skills and competences
Mother tongue(s) Russian
Other language(s)
Self-assessment Understanding Speaking Writing
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European level (*) Listening Reading Spoken interaction Spoken production
Latvian C2 Proficient user C2 Proficient user C2 Proficient user C2 Proficient user C2 Proficient user
English C1 Proficient user C2 Proficient user C1 Proficient user C1 Proficient user C1 Proficient user
(*) Common European Framework of Reference for Languages
Social skills and competences Good communication and presentation skills gained during long time of pedagogical experience.
Organisational skills and competences
Good experience in project management and team leading gained during a set of managed projects and development and implementation of developed software products. Good experience in HR management being for 4 years the head of department with 50 staff.
Technical skills and competences Good experience in banking software and informational systems security being the member of Information security committee and the author of Security Policy of large commercial bank.
Computer skills and competences Very good skills and knowledge being experienced teacher in application programs for university students.
Other skills and competences Tourism, good swimmer.
Driving licence Category B
Additional information Author or co-author of more than 100 scientific and methodological publications (19 during last 2 years) and 17 scientific reports. Member of IEEE, EDEN, EuroScience, constant member of 4 International conferences Programme Committees.
136
C U R R I C U L U M V I T A E
PERSONAL INFORMATION
First name, last name Uldis Sukovskis
Citizenship Republic of Latvia
Telephone +371 7089303
E-mail [email protected]
EDUCATION AND ACADEMIC GRADES
2008 Corresponding member of Latvian Academy of Science
1992 Dr.sci.ing., Information Technology
1975 Riga Polytechnical Institute (Riga Technical University). Higher education in Applied Mathematics
SEMINARS AND COURSES
2010 Experiences in Education, Education and New Learning Technologies, Barcelona
2008 Quality Assurance in Higher Education, International Seminar, Riga
2008 Attractiveness of Science and Technology Education – Problems and Solutions with Student Enrolment in
Science and Technology Programs, International Seminar
2002 Information Systems Audit and Control Association (ISACA), Certified Information Systems Auditor
(CISA).
2001 Lloyd's Register Quality Assurance ISO 9001:2000 Course for internal auditors, Riga
2001 Rapid Economic Justification Workshop, Microsoft, Riga
1999 Decision Base, Celemi International AB, Sweden, KIC Ltd., Riga
1998 Internal Project Management Audit, RITI, Riga
WORK EXPERIENCE
1975 - present Riga Technical University (former Riga Politechnical Institute). Assistant, Lecturer, Docent, Assoc.
Professor, Professor (since 2004), Dean of Faculty of Computer Science and Information Technology (2005-
2007), Vice-rector for Academic Affairs (since 2007).
1995 - present Exigen Services, Riga Information Technology Institute. Director, IT Consulting and Audit.
1994 - 1995 SWH Informatīvās Sistēmas Ltd. Group manager.
1991 - 1993 Software House Riga. Software developer.
PUBLICATIONS (RECENT)
1. Klimavicius M., Sukovskis U. Business process driven data warehouse development,
Scientific Proceedings of Riga Technical University, 5th series, Computer Science, Applied
Computer Systems, Vol.22, RTU, 2005, pp. 242-248 (EBSCO)
2. Klimavicius M., Sukovskis U. Risk management methodology for data warehousing projects,
ISD'2005 Proceedings of the Fourteenth International Conference on Information Systems
Development, Karlstad University Studies, 2005, pp. 231-241(EBSCO)
3. Šmite D., Sukovskis U. Knowledge Management in Distributed Environment, Industrial
Proceedings of the International Conference on European Software Process Improvement
(EuroSPI), November 2005, Hungary, pp. 515-5.22.
4. Nikulshins V., Nikiforova O., Sukovskis U. Analysis of Activities Covered by Software
Engineering Discipline, Databases and Information Systems, Seventh International Baltic
Conference on Databases and Information Systems, Communications, VGTU Press
„Technika” scientific book No 1290, Vilnius, Lithuania, 2006, pp. 130-138
5. Nikiforova O., Kirikova M., Sukovskis U. Two hemisphere model driven architecture for
knowledge map development in the task of study program analysis, in: Scientific Proceedings
of Riga Technical University, Computer Science, Applied Computer Systems, the 5th series,
Vol. 26, Riga, Latvia, RTU, 2006, pp. 112-123 (in Latvian), ISSN 1407-7493.
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6. Klimavicius M., Sukovskis U. Applying MDA and universal data models for data warehouse
modeling, Proceedings of 10th WSEAS International Conference on Automatic Control,
Modelling and Simulation, WSEAS Press, 2008, pp. 332-337 (ACM)
7. Teilans A., Kleins A., Sukovskis U., Merkuryev Y., Meirans I. A meta-model based approach
to UML modelling. Proceedings of EUROSIM/UKSIM 10th International Conference on
Computer Modelling & Simulation, Cambridge, UK, IEEE, 2008, pp. 667-672 (SCOPUS,
Engineering Village, IEEE, ACM)
8. Kirikova M., Grundspenkis J., Sukovskis U. Educational “Ecosystem” for Information
Systems Engineering, Proceedings of the TMCE 2008 Symposium, Izmir, Turkey, 2008,
pp.769-783 (Millpress Science Publishers)
9. Nikulsins V., Nikiforova O., Sukovskis U. Mapping of MDA Models into the Software
Development Process, Databases and Information Systems, Proceedings of the Eighth
International Baltic Conference Baltic DB&IS 2008, H.-M. Haav and A. Kalja (Eds.), Tallinn
University of Technology Press, Tallinn, Estonia, June 2-5, 2008, pp. 217-226.
10. Nikulsins V., Nikiforova O., Sukovskis U. Principles of Model Driven Architecture for the
task of study program development. SEFI 36th Annual Conference, July 2-5 2008, Aalborg,
Denmark, 8 p.
11. Kirikova M., Strazdina R., Sukovskis U. Supporting inter-institutional knowledge feedbacks
in the context of engineers' educational system. International Conference of Education,
Research and Innovation (ICERI 2008), November 17-19, 2008, Madrid, Spain, 10 p.
12. Nikiforova O., Nikulsins V., Sukovskis U. Integration of MDA Framework into the Model of
Traditional Software Development, Databases and Information Systems V - Selected Papers
from the Eighth International Baltic Conference, DB&IS 2008, by IOS Press in the series
"Frontiers in Artificial Intelligence and Applications", Volume 187, pp.229-239, 2009
(SCOPUS, DBPL)
13. Kirikova M., Strazdiņa R., Andersone I., Sukovskis U. Quality of Study Programs: an
Ecosystems Perspective. 13th East-European Conference on Advances in Databases and
Information Systems (ADBIS 2009), 2009. 8 p. (SprigerLink, Engineering Village, DBPL)
14. Strazdina R., Kirikova M., Sukovskis U., Zitmanis Z., Grevins J. An Ecosystem Approach to
a Cross-Disciplinary Education // International Conference on Education and New Learning
Technologies EDULEARN10, ISBN: 978-84-613-9386-2, International Association of
Technology, Education and Development (IATED), 2010. 8 p.
MEMBERSHIP
Riga Technical University Senate, Member.
Information Technology Commission of RTU Senate, Chairmen.
Legislative Commission of RTU Senate, Member.
Strategy Commission of RTU Senate, Member.
Riga Technical University Doctoral Board P-0, Member.
Faculty of Computer Science and Information Technology Council. Chairman (2005-2007), Member.
RTU Institute of Applied Computer Systems, Board Member.
RTU Riga Business School Council, Chairman.
Riga Information Technology Institute Council, Member (until 2009).
Latvian Information Technology and Telecommunications Association, Member.
ISACA Latvia Chapter, Vice-president (2005-2008), Member.
The Baltic Sea Region University Network Steering Committee, Substitute Member.
International Software Testing Qualification Board, Latvia Chapter Board Member.
JSC DATI Board, Deputy Chairmen, Member (2003-2004)
Information Technology, Telecommunications and Electronics Vocational Education Board, Member (2001-
2007)
Member of several organizing and program commissions ( ISD, ADBIS, IBIMA, DB&IS, BIR etc. program
commissions, ADBIS 2009, CAISE2004 organizing commissions).
138
CURRICULUM VITAE
PERSONAL INFORMATION
First name, surname: Zoja Sundukova
E-mail: [email protected]
Telephone at work: +371 67089324
Date of birth: 01.02.50.
LANGUAGE PROFICIENCY
Mother tongue: Russian
Other languages: Latvian (highest proficiency level)
English (conversational level)
EDUCATION
1968 – 1972
Riga Polytechnical Institute (RPI)
Engineer – economist, diploma No. 385799;
1967 – 1968
Kaunas Polytechnical Institute
Vilnius Affiliation.
SCIENTIFIC DEGREES
11 December 1992
Doctor of economic sciences (Dr. oec.)
Riga Technical University (RTU), Habilitation Council H-09, Dr.oec. diploma BD 000396;
16 May 1989
Degree of candidate of economic sciences
Latvian Academy of Sciences
Institute of Economics
Diploma No.029562.
PROFESSIONAL ADVANCEMENT
10 October 2007
Conference ”Competitiveness – a cornerstone of the future of national economy of Latvia”
organized by the Bank of Latvia;
18 October 2006
139
Conference ”Latvia on the road to well-being: growth potential and visions” organized by the
Bank of Latvia;
2005
Computer courses (Diploma No.60R0217-05; Diploma No. 20R0221-05);
26 October 2004
Seminar “Nordic research and innovation co-operation with Latvia”. – Riga: Nordic Council of
Ministers’ Information Office in Latvia and relevant Nordic institutions;
3 June 2004
Seminar organized within the framework of Global Day of Environment “On safe and
orderly environment“. – Riga: L&T Hoetika;
22 October 2003
Seminar “Instruments for improving operation for producers”. – Riga: SIA “Tyke”;
18 October – 29 November 2001
Courses for advancing accountants qualification organized by SIA “Latvikon”. (Certificate
No. 29/11-6).
WORK EXPERIENCE
2006 to present
Riga Technical University (RTU)
Faculty of Engineering Economics (FEE)
Associated Professor;
1990 – 2006
RTU FEE
Assistant Professor;
1 September 2005 – 31 July 2006
SIA “Improvs”, financial consultant;
1991 – 2002
SIA “Vairogs-89”, chief accountant;
1989-1991
Cooperative society “Vairogs-89”, chief accountant;
1975 – 1990
Riga Polytechnical Institute (RPI) FEE
Senior lecturer;
140
1973 – 1975
RPI FEE
Senior lab-assistant.
RESEARCH WORK AND PARTICIPATION IN ACADEMIC PROJECTS
01.10.2007 – 30.09.2008
RTU research project “Analysis and evaluation of factors affecting sustainable development
of Latvian small and medium-sized enterprises” (ZP-2007/15), execution of the project.
01.06.2006 – 31.12.2006
Grant of the LR Ministry of Education and Science for project No. U7111 ”Development of
the system of evaluation of performance results of Latvian small and medium-sized
enterprises”, execution of the project.
March – May 2005
Research project of the Association of Entrepreneurs of Machine-building and Metal
Processing Association ”Establishment of human resources potential in the sector of Latvian
machine-building and metal processing, development of the strategy for attracting new
specialists to the industry by applying advertising activities and incentive schemes”,
execution of the project.
PUBLICATIONS
Scientific publications
1. Sundukova Z., I. Jevinga. Research of students’ motivation to study // Education and economy 2007: Materials of international scientific conference. – Tallinn, Tallinn University of Technology, 2007. – pp. 131-132.
2. Lāce N., Sundukova Z. Regional development problems of small and medium-sized enterprises in Latvia // Economic and management trends. Volume 1, No. 01, 2007. – Czech Republic: Brno University of Technology, 2007. – pp. 46-55.
3. Lāce N., Sundukova Z. Challenges of small business management in Latvia // 5th International scientific conference ”Management and engineering _ 07”, June 18-22 2007 Sozopol, Bulgaria: Scientific Proceedings of the Scientific and Technical Association of Mechanical Engineering. Jan XIV, Volume 2 (97), June 2007. ISSN 1310-3946. – Sozopol, Bulgaria: Technical University. Sofia, 2007. – pp. 407-409.
4. Lāce N., Sundukova Z. Key performance indicators for small business // 4th international scientific conference ”Business and management” 2006, 14th international scientific conference ”Enterprise management: diagnosis, strategy, efficiency” Selected Papers. 5 – 6 October 2006, Vilnius, Lithuania. – Vilnius: VGTU Press ”Tecnika”, 2007. – pp. 41-46.
5. Sundukova Z., Puceviča S. Development of craft in Latvia and crafts assessment system // Vadyba (Management): Vilnius University Research Papers, 2006 No.3-4 (12-13). – Vilnius, Vilnius University, 2006. – pp. 93-104.
6. Lāce N., Sundukova Z. Small business performance evaluation on the basis of balanced scorecard // Global economy and business – administration of small and medium-sized enterprises. Proceedings of the 4th international scientific seminar, Minsk, 1-2 2006. – Belarus National Technical University. – Minsk: BNTU, 2006. – pp. 92-95.
141
7. Sundukova Z., Evinga I. Use of the Internet for teaching correspondence students. // Global economy and business – administration of small and medium-sized enterprises. Proceedings of the 4th international scientific seminar, Minsk, 1-2 February 2006, Belarus National Technical University. – Minsk, BNTU, 2006. – 232-235.
8. Sundukova Z., Puceviča S. The system of criteria for evaluation of labour resources in the crafts sector // Vadyba (Management): Vilnius University Research Papers, 2006 No.1 (10). – Vilnius, Vilnius University, 2006. – pp. 101 – 111.
9. Lace N., Sundukova Z. On problems of evaluation of effectiveness of business management // problems of development of national economy and entrepreneurship: Proceedings of the international conference. Riga, 13-15 October 2005. – Riga: RTU Publishing House 2006. – pp.127- 133.
10. Lace N., Sundukova Z. The role of managerial reports in decision-making // Acta Universitatis Latviensis. Volume 690. Management science. – Riga: University of Latvia, 2005. – pp. 223-230.
11. Didenko K., Sundukova Z. On the problem of development of economic analysis // Economic Proceedings of the Ukrainian National University ”Kiev Polytechnical Institute”, 2005(2). – Kiev UNU ”KPI”, 2005. – pp. 11-15.
12. Sundukova Z. On the specifics of the systemic approach to cost management // International conference proceedings ”Problems of development of national economy and entrepreneurship”. – Riga: RTU Publishing House, 2005. – pp. 310-318.
13. Sundukova Z. Effective use of production resources at wood working enterprises in Latvia // management of organisation: diagnostics, strategy, effectiveness. Proceedings of the 13th scientific conference, 7-8 April 2005. – St.Petersburg: Publishing House of the Polytechnical University, 2005. – pp. 155-157.
14. Sundukova Z. Development of the methodology of economic analysis // International conference proceedings ”Problems of development of national economy and entrepreneurship”. – Riga: RTU Publishing House, 2004. – pp. 220-227.
15. Sundukova Z. Development of theoretical aspects of comprehensive evaluation of theoretical aspects of performance results of an enterprise. // International scientific proceedings of a higher schools. – Riga: RTU, 2001. – pp. 47.-52.
Teaching and methodological aids
1. Regulations on the elaboration and defence of the diploma thesis in the professional Master study programme ”Entrepreneurship and management” for being awarded the qualification „Economist / A. Magidenko, K. Didenko, N. Lāce, Z.Sundukova, J. Ķipsna. - Riga: RTU Publishing House, 2005. – 36 p.
2. Jevinga I., Sundukova Z. Fundamentals of financial accounting. Study aid. – Riga: RTU Publishing House, 2004. – 111 p.
3. Lāce N., Sundukova Z. Economics of an enterprise: Methodological guidelines for elaboration of the course paper. – Riga: RTU Publishing House, 2003. – 46 p.
4. Didenko K., Sundukova Z. Theoretical fundamentals of economic analysis: Summary of lectures. – Riga: RTU Publishing House, 2003. – 71 p.
5. Sundukova Z., Jevinga I. Economics of an enterprise: fundamentals of entrepreneurs. Study aid. – Riga: RTU, 2002. – 33 p.
PARTICIPATION IN SCIENTIFIC CONFERENCES
26-27October 2007
142
International academic conference ”Education and economy 2007”, Educational Research
Centre of Tallinn University of Technology and TTU Tallinn College.
Report: Research of students’ motivation to study. (Co-reporter I.Jevinga);
12-14 September 2007
Scientific conference on the occasion of the 15th anniversary of the establishment of
Business and Management Brno University of Technology, Brno, Czech Republic,
Report: Regional development problems of small and medium-sized enterprises in Latvia.
(Co-reporter N. Lāce);
6-7 September 2007
17th international scientific conference dedicated to the 55th anniversary of the foundation
of the Department of Economics and Management of Chemical and Food Industry CHTF
SVŠT and the Department of Economics and Management of Chemical and Food Industry
FCHI VŠCHT ”Modern Approaches to Corporate Management”, Bratislava, Slovak Republic,
Report: Effective cost management as a prerequisite for the development of small business.
(Co-reporter N. Lāce);
18-22 June2007
5th international scientific conference ”Management and Engineering „07”, Sozopol,
Bulgaria, Faculty of Management Technical University, Sofia, Bulgaria.
Report: Challenges of small business management in Latvia. (Co-reporter N. Lāce);
8 December 2006
International scientific seminar organized by RTU „Development of knowledge-based
innovative entrepreneurial activity”, RTU, Riga.
Report: Innovations in managerial accounting;
5-6 October 2006
4th international scientific conference “Business and Management”, 14th international
scientific conference “Enterprise management: diagnosis, strategy, efficiency”, Vilnius,
Lithuania.
Report: Key performance indicators for small business. (Co-reporter N. Lāce);
29-30 June 2006
International scientific seminar ”Small business management: innovation, strategy, values”,
RTU, Riga.
Report: Performance measurement system for a fuel trade enterprise” (Co-reporter D.
Dzalbe);
1-2 February 2006
4th international scientific seminar „Global economy and business – administration of small
and medium-sized enterprises”, Minsk, Belarus national technical University.
143
Reports: Small business performance evaluation based on the balanced scorecard. (Co-
reporter N. Lāce); Use of the Internet in educating correspondence students. (Co-reporter I.
Jevinga);
7-8 December 2005
International scientific conference “Progressive methods and tools of management and
economics of enterprises”. Brno, Czech Republic, Brno University of Technology.
Report: Challenges of SMEs performance evaluation in Latvia” (Co-reporter N. Lāce);
23-24 September 2005
International scientific conference “Business development possibilities in the new European
area”, Vilnius University, Lithuania.
Report: The system of criteria for labour resource evaluation in the crafts business” (Co-
reporter S. Puceviča);
13-15 October 2005
RTU 46th international scientific conference „Problems of national economy and
entrepreneurship”, Riga.
Report: On problems of evaluation of effectiveness of management of an enterprise;
4 February 2005
63rd scientific conference of the university of Latvia. Section of Management science.
Report: The role of managerial reports in decision-making. (Co-reporter);
14-17 October 2004
RTU 45th international scientific conference ”Problems of development of national
economy and entrepreneurship”, Riga.
Report: Use of the approach of the determined factor analysis in cost management;
9-11 October 2003
RTU 44th international scientific ”Problems of development of national economy and
entrepreneurship”, Riga.
Report: development of the methodology of risk analysis.
PEDAGOGICAL WORK
Pedagogical work experience in higher education – 34 years
Lecture courses taught:
Academic Master study programme: ”Managerial accounting”, ”Scientific seminars”,
”Financial statements”, ”Financial analysis and planning”, ”Managerial accounting and
project analysis”;
144
Professional Master study programme (correspondence department): ”Economics of
entrepreneurship”, ”Methods of economic analysis”;
Professional Bachelor study programme (correspondence department): ”Economics of
entrepreneurship”, ”Economics of an enterprise”.
ORGANISATIONAL RESPONSIBILITIES AND ASSIGNMENTS
11-12 January 2008
Member of the Programme and Organisation Committee of the international scientific
seminar ”Towards knowledge-based economy”, Riga;
12-13 April 2007
Member of the Organisation Committee of the dual international scientific conference
”Towards knowledge-based economy” & ”Enterprise management: diagnostics, strategy,
effectiveness”, Riga;
5-6 October 2006
Member of the reviewers board of the 14th international scientific conference ”Business and
managements” & ”Enterprise management: diagnosis, strategy, efficiency”. Vilnius,
Lithuania;
29-30 June 2006
Member of the Programme and Organisation Committee of the international scientific
seminar ”Small business management: innovation, strategy, values”, Riga;
18 February 2005
Member of the Organisation Committee of the international scientific seminar “Trends and
drivers in implementing international collaboration between European enterprises” within
the framework of the project “PROMINENCE – Promoting Inter-European Networks of
Collaborating of Extended Enterprise” (contract G1RD-CT-202-00713), Riga.
ADDITIONAL INFORMATION
2006
Certificate of appreciation by the RTU FEE Dean on the occasion of the 40th anniversary of
the FEE and 25 years of teaching in a higher school;
2005
Certificate of appreciation by the RTU FEE Dean on the occasion of the anniversary of the
Chair of Economics of Production and Entrepreneurship;
06.04.2005
145
Winner of the contest of RTU methodological conference ”For the best methodological aid”,
order No. 21-142;
20.04.2004
Winner of the contest of RTU methodological conference ”For the best methodological aid”,
order No. 21-117;
23.05.2003
Winner of the contest of RTU methodological conference ”For the best methodological aid”,
order No. 21-127;
2002.
Certificate of appreciation by the RTU FEE Dean for excellent performance on the occasion
of the 140th anniversary of RTU.
2002.
Certificate of recognition ”For training high quality specialists”, Latvia Education Foundation
and the state joint stock company VAS “Latvijas Dzelzceļš”.
146
147
148
CURRICULUM VITAE
PERSONAL INFORMATION
First name, surname: Ludmila Vasilyeva
E-mail: [email protected]
Telephone at work: 7089486
Identity number: 070944-10117
LANGUAGE PROFICIENCY
Mother tongue Russian
Other languages Latvian, English
EDUCATION
1966 Riga Polytechnic Institute, mechanical engineer
SCIENTIFIC DEGREES
1992 Riga, RTU Habilitational Council H-09, economical doctor.
1972 Candidate of economy, Latvian University
Doctor work „ The Evoluation of mashines by method of elementcoefficients’’
PROFESSIONAL ADVANCEMENT
1.CERTIFICATE ’’SMALL BUSINESS MANAGEMENT:INNOVATION,
STRATEGY, VALUES’’within the scientific project’’Designing of Performance
Evalution System of Latvian Small Enterprises’’, 29-30 June 2006, Riga
2. CERTIFICATE ’’DEVELOPMENT OF INNOVATIVE ENTREPRENEURSHIP
BASED ON KNOWLEDGE MANAGEMENT’’within the scientific
project’’Development of Economic Knowledge Management Based Innovative
Enrepreneurship in Latvia’’,
8 December ,2006, Riga
3. CERTIFICATE ’’ TOWARDS KNOWLEDGE-BASED ECONOMY.
ENTERPRISE MANAGEMENT: DIAGNOSTICS, STRATEGY,
EFFECTIVENESS. ’’ International scientific dual-conference,held on 12-13 April,
2007, Riga
WORK EXPERIENCE
2006 Riga Technical University, asoc. professor
1990 -2006 Riga Technical University, assistant professor
1973-1990 Riga Polytechnic Institute, assistant professor
1970-1973 Riga Polytechnic Institute, senior lecturer
1966-1970 Riga Polytechnic Institute, assistant
1966 Riga Electromechanical Works, engineer
RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS
1. Projects SOCRATES Erasmus Thematic Network ” Teaching and Research
in Engineering in Europe’’, from 2004
149
PUBLICATIONS
Scientific publications
1. Lauku tūrisma ietekme vides ekonomikā// Problems of development of national economy
and entrepreneurship // Proceedings of the international scientific conference.- Riga: RTU,
2006.- 210.-219. p.
2. Zemnieku saimniecības ietekme uz apkārtējo vidi. // Problems of development of national
economy and entrepreneurship // Proceedings of the international scientific conference.-
Riga: RTU, 2007.- 198.-206. p.
3. Vieglo automašīnu pieprasījuma un piedāvājuma problēmas Latvijā // Tautsaimniecības un
uzņēmējdarbības attīstības problēmas/// Problems of development of national economy and
entrepreneurship // Proceedings of the international scientific conference.- Riga: RTU,
2008.- 18.-27. p.( co-authors E. Egle and K. Kruzs )
4.Radaru diagrammu izmantošana inovāciju novērtēšana mazajā biznesā//Ekonomics
research in business: 6.book.-Riga,RTU, 2008.-56.-62.p.( co-author N.Ivanova)
5.Konkurētspējas paaugstināšanas problēmas pārtikas ražošanā//Ekonomics research in
business: 6.book.-Riga,RTU, 2008.-63.-74.p.( co-author L. Kovalevska)
6.Attīstības stratēģijas pilnveidošana jūras kravu pārvadājumos//Ekonomics research in
business:7.book.-Riga,RTU, 2009.-60.-68.p.( co-author N.Ludinovska)
7.Valsts ieņēmumu dienesta klientu apkalpošanas sistēmas attīstība Latvijā. //Ekonomics
research in business:8.book.-Riga,RTU, 2010.-74.-85.p.( co-author S. Isajeva)
8 . Ražošanas uzņēmumu konkurētspējas nodrošināšana Latvijā//Ekonomics research in
business:8.book.-Riga,RTU, 2010.-51.-64.p.( co-author A.Glebova)
Teaching materials
1. The fundamentals of creature of small enterprises:- Riga, RTU, 2006,165 p
2. Economic of environment/ Text book:- Riga, RTU, 2007, 190 p.
3. Economic fundamentals of energetic:- Riga, RTU, 2008, 117 p.
4. Bussines economic:- Riga, RTU, 2011, 75 p. .( co-author K. Didenko, I Ovchinnikova)
PARTICIPATION IN SCIENTIFIC CONFERENCES
1. THE USING OF THE RADAR DIAGRAMS IN EVALUATION OF SMALL BUSINESS/
’’DEVELOPMENT OF INNOVATIVE ENTREPRENEURSHIP BASED ON
KNOWLEDGE MANAGEMENT’’WITHIN the scientific project’’Development of
Economic Knowledge Management Based Innovative Enrepreneurship in Latvia’’,
International scientific dual-conference,held 2006.g.,8. december , Riga
2. KNOWLEDGE- BASED MANAGEMENT OF POWER ENTERPRISE/
’’ TOWARDS KNOWLEDGE-BASED ECONOMY. ENTERPRISE
MANAGEMENT: DIAGNOSTICS, STRATEGY, EFFECTIVENESS. ’’
International scientific dual-conference,held on 12-13 April, 2007, Riga
3.Problems of development of national economy and entrepreneurship // International
scientific conference..held on 11-13. October 2008, Riga
4.ATRACTING FUNDING FOR COLLOBARATIVE PROJECTS IN LATVIJA“Scientific Conference
on Economics and Entrepreneurship”, held on 7. Oktober,2011 ,Riga
150
PEDAGOGICAL WORK
Length of pedagogical work experience in higher education-40 years
Courses taught
Lectures for bachelor’s, engineers, master’s programme students on
“Business Economics and Planning of Small Businesses”,
“Economics of Environment”,
“Economics of Entrepreneurship”,
“Planning of Business”,
” Economics of Energetic”.
ORGANISATIONAL SKILLS AND COMPETENCES
1. Deputy of the bachelor’s papers Defence Committee.
2. Deputy of the master’s papers Defence Committee.
3. Member of the student’s scientific conference Committee of the cathedral of Economics
of Production and Entrepreneurship.
4. Expert of “Agenda 21” of Riga Council till 2010 year.
ADDITIONAL INFORMATION
Records of Recognition
1. For training highly qualified specialists. “Agenda 21” of Riga Council,2005
2. Honour Worker of Riga Technical University from 1997 year
20 of October, 2011 year L. Vasilyeva
151
Prof. Janis Viba (CV)
Dr.habil.sc.ing., Director of Institute of Mechanics RTU, Head of Department of Theoretical
Mechanics and Strengs of Materials.
(http://www.lza.lv/scientists/vibaj.htm)
Interests: Engineering Mechanics; Mechanical Engineering; Vibration and Shock; Optimal Control ; Car Crashes.
Brief Description of Main Research: Development of methods of optimal control theory for impulse or shock
systems, practical use of effects of vibration and shock, and protection against vibration, with a view to develop new systems for vibration transporters, vibration hammers, vibration instruments, impact dampers and start - stop drives with adaptive control.
Languages: English, Latvian, and Russian.
Education: Riga Technical University (Faculty of Mechanical Engineering), 1960. Postgraduate, Department of Strength of
Materials, Riga Technical University, 1962-1965. Dr.sc.ing. (Candidate of Sciences in former USSR, Ph.D. in Western
countries), Riga Technical University, 1968. Dr.habil.sc.ing. (Doctor of Sciences in former USSR), Leningrad Polytechnic Institute, Russia, 1983.
Experience: Riga Technical University: Senior laboratory assistant, Assistant, Department of Production and
Automation, 1960-1962. Senior Lecturer and Associate Professor, Department of Theoretical Mechanics, 1965-1975. Head of
Department of Theoretical Mechanics, 1975 – 2002. Professor of Department of Theoretical Mechanics, 1983- 2006. Director of
Institute of Mechanics, 1998 – 2006.
Honours and Awards: Corresponding Member, Latvian Academy of Sciences, 1992 - ; Latvian State Prize, 1989.
Canders Prize, 2004.
Professional Activities and Memberships: Member, Latvian Union of Scientists. Expert, Latvian Council of
Science, 1990 - Member and Chairman of Workshop, Latvian National Committee of Mechanics, 1993 - Chairman, RTU
Council for Professors' election in branch "Mechanics" Member, RTU Promotion Council (Mechanics and Mechanical Engineering) Chairman, RTU Students Scientifical and Technical Union, 1976 - Member of Presidium of Latvian Professors'
Association, 1995 -
Recent/Representative Publications: 1. Cifanskis, S.; Armada, M.; Akinfiev, T.; Viba, J. & Jakushewich, V. HIGH
VOLTAGE DISCHARGE SYSTEM FOR GRANULATING HARD MATERIALS. 4th International DAAAM Conference. "INDUSTRIAL
ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia. P. 185. - 188.
2. Gonca, V.; Grasmanis, B. & Viba, J. INVESTIGATION OF OBLIQUE IMPACT IN TRAFFIC ACCIDENTS. 4th International DAAAM
Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia.
p. 23. - 26.
3. Mironovs, V.; Viba, J. LIFTING OF FERROMAGNETIC POWDERS. 4th International DAAAM Conference "INDUSTRIAL
ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia. P. 215. - 218.
4. Kononova, O.; Viba, J. & Akinfiev, T. IMPACT SYSTEM RESTITUTION COEFICIENT DEPENDENCE ON GEOMETRY. . 4th
International DAAAM Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril
2004, Tallinn, Estonia. P. 43.- 46.
5. Viba, J.; Polukoshko, S. SIMULTANEOUS COLLISIONS OF RIGID BODIES IN MORE THAN ONE POINT. 4th International DAAAM
Conference "INDUSTRIAL ENGINEERING INNOVATION AS COMPETITIVE EDGE FOR SME". 29 - 30thApril 2004, Tallinn, Estonia.
p. 298. - 301.
6. Tamužs V., Viba J. Education in Mechanics in Latvia Higher Schools. 21 st International Congress of Theoretical and Applied
Mechanics. August 15 - 21, 2004. Warsaw, Poland.
7. J. Viba, B. Grasmanis, I. Tipans, J. Fontaine. JUMPING, FLAYING AND IMPACT MOTION OF AN OBJECT. Динамика
виброударных (сильно нелинейных) системю XIV Международный Симпозиумю Росийская Академия Наук. Москва -
Звенигород. 2003.
8. Maris Eiduks, Janis Viba, Lauris Shtals, Edgars Kovals, Stanislavs Noskovs. Fluid flow vibration excitation by the control of
interaction surfaces. Proceedings, Volume 10, May 26-27, 2011. Jelgava 2011. p. 464-469. (Thomson Reuters, Elsevier Scopus).
9. Edgars Kovals, Janis Viba, Guntis Kulikovskis, Maarjaa Kruusmaa, Paolo Fiorini, Fean-Guy Fontaine. Motion dynamics analysis
of a floating robot. Vibration problems. ICOVP 11 Suplement, The 10th International Conference on Vibration Problems. Praga.
Technical University of Liberec. P. 510-515. (Scopus)
Research Projects: 1. E. Lavendelis, INCO - COPERNICUS Project 960054. Efficient Start-Stop Intelligent Drives with
Adaptive Control. (Spain, France, Russia, Byelorussia, Latvia) (1997 - 1999). 2. J. Viba, Axiliary Climbing Robot For Underwater
152
Ship HullCleaning of Sea Adherence And Surveyng (Nas-Aurora). Supplementary agreement No 1 to the contract No G3RD-CT-
2000-00246 NAS - Proposal No GRD1-1999-11153. The EC ... and ..- CSIC IAI; - ALGOSYS.AR; - ULUND.DMEN.ROBOT; - SAIND; -
KAL; - UNDB (collectively "the contracting parties") HAVING REGARDS TO contract No G3RD-CT-2000-00246 ... to extend ... : -An
additional of one contractor (" TURIGA ME") . 3. J. Viba. (Head of Project). Investigation of Oblique Impact and Adaptive Control
for High-Speed Machines. Latvian Council of Science (1994 - 1996). 4. J. Viba (Head of Project). Investigation of Collisions of
Bodes in Start-Stop Systems with Adaptive Control. Latvian Council of Science (1997 - 2000). 5. J.Viba (Head of Project).
Optimal Synthesis of Adaptive Controlled Intelligent Vibroimpact Systems with Line, Surface and Volume Interactions. Latvian
Council of Science (2001 - 2004). 6. &-Frame work Project: FILOSE. 2009.-2012.
153
CURRICULUM VITAE
Inta Volodko
Name Surname
Kraslava, Latvia 13.07.1965.
Place of birth Date, month, year
Riga Technical University, Department of Engineering Mathematics, Head of Department,
professor;
Work place and position
Work address:
Meza str. ¼ - 148, Riga
Telephon
e
67089528
Fax: 670899694
E-mail: [email protected]
Education
Higher education, Master’s course, doctoral
studies. Ed. Establishments, country
Study
period
Speciality Qualification
Full-time Student at Latvian State University, Faculty of Physics and Mathematics
1983-1988 Applied
mathematics
Mathematic
Postgraduate at Riga Technical University 1989-1992 Mathematics
Master’s degree Diploma Nr. 000993 1995 Mathematics
Research degrees
Institution awarding degree Year Speciality Degree Diploma
No.
Latvian University, Latvia 1995. Mathematics Dr.math. C-D Nr.
001316
Employment
2007 – - Professor at Riga Technical University;
2004 – 2007 - Associate Professor at Latvian Agricultural University;
2003 – 2007 - Associate Professor at Riga Technical University;
154
2002 – Head of Department of Engineering Mathematics at Riga Technical University;
2000 – 2004 - Assistant Professor at Latvian Agricultural University;
1998 – 2003 - Assistant Professor at Riga Technical University;
1996 – 1998 – Lecturer at Riga Technical University;
1992 – 1996 – Lecturer assistant at Riga Technical University;
1988 – 1989 – Trainee lecturer at Riga Technical University (then Riga Politechnical
Institute).
Scientific research interests
Participant of Scientific Project No. 01.0678 “Numerical and analytical solution of MHD
problems in strong magnetic fields and electrodynamic problems” (2001. – 2003.);
No. 04.1239 “Analysis of fluid flows in channels and open hydrodynamic systems” (2004. –
2007.);
EPF7 Project SAFEMETAL Nr.262568 „Increasing EU citizen security by utilizing innovative
intelligent signal processing systems for euro-coin validation and metal quality testing”
(2010. – 2012.).
Contributions at conferences (last 6 years)
Scientific conferences:
1. I.Volodko, V.Koliskina. Virpuļstrāvas metodes analītiskie atrisinājumi vidēm ar mainīgu elektrisko vadāmību un magnētisko caurlaidību. RTU 52. starptautiskā zinātniska konference, Rīga, 2011.g. 13 – 16 oktobrī.
2. I.Volodko, V.Koliskina. The change in impedance of a double conductor line due to a two-layer medium. Recent Researches in Communications & IT. Proceedings of the 15th WSEAS International Conference on Communications. Corfu Island, Greece, July 14 – 17, 2011, pp. 228 – 232.
3. I.Volodko, V.Koliskina. Analytical solution of an eddy current problem for a two-layer tube with varying properties. Recent Researches in Communications, Electrical & Computer Engineering. 9th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical Communications. Playa Meloneras, Gran Canaria, Canary Islands, Spain, March 24 – 26, 2011, p. 262 – 265.
4. I.Volodko, V.Koliskina. A single-turn coil with alternating current inside a cylindrical region with varying electric conductivity and magnetic permeability. 10th WSEAS International conference on electronics, hardware, wireless and optical communications, 2011. gada februārī Kembridžā, Lielbritānijā.
5. I.Volodko, V.Koliskina. Vijums ar strāvu cilindriskā apgabalā ar mainīgu elektrisko vadāmību un
155
magnētiskocaurlaidību. RTU 51. Starptautiskā zinātniskā konference, Rīga, 2010.gada 11.-15. oktobrī.
6. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. Abstracts of the 15th International Conference “Mathematical Modelling and Analysis”, Druskininkai, Lithuania, May 26 – 29, 2010, p.47.
7. I.Volodko, V.Koliskina. Calculation of a coil’s impedance for the case where electric and magnetic properties of a conducting half-space depend on a vertical coordinate. Abstracts of 8th Latvian Mathematical conference, Valmiera, Latvia, April 9 – 10, 2010, p. 38.
8. I.Volodko, V.Koliskina. Vijuma pretestība virs vadošās pustelpas, kuras elektriskās un magnētiskās īpašības ir atkarīgas no telpas dziļuma. RTU 50. Starptautiskā zinātniskā konference, Rīga, 2009.gada 12.-16. oktobrī.
9. I.Volodko, V.Koliskina. Linear instability of mixing layers in two-phase shallow flows. Abstracts of the 14th International Conference “Mathematical Modelling and Analysis”, Daugavpils, Latvia, May 27 – 30, 2009, p.87.
10. I.Volodko, V.Koliskina. Linear instability of wake-shear layers in two-phase shallow flows. Proceedings of World Academy of Science, Engineering and Technology. Bangkok, Thailand, December 17 – 19, 2008, p. 698 – 702.
11. I.Volodko, V.Koliskina. Transient flows in pipes and channels: analytical solutions. New aspects of energy, environment, ecosystems and sustainable development. Proceedings of the 4th IASME/WSEAS International Conference on energy, environment, ecosystems and sustainable development. Algarve, Portugal, June 11 – 13, 2008, p. 265 – 268.
12. I. Volodko, V. Koliskina. Linear instability of wake-shear layers in shallow water. Environmental science, ecosystems & development. Proceedings of the 5th WSEAS International Conference on environment, ecosystems and development. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 14-16, 2007, p. 40 – 44.
13. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.
14. A. Kolyshkin, I. Volodko, I. Iltins, M. Iltina. Transient method for leak and partial blockage detection in pipelines. Third International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2006, p.158.
15. M.S. Ghidaoui, A. Kolyshkin, I. Volodko. A mathematical model for detection of a partial blockage in pipelines using fluid transients. 5th Vienna Symposium on Mathematical Modelling, Abstract Volume, Full Papers CD, Vienna, Austria, February 8-10, 2006, p.282.
Methodological conferences:
1. I.Volodko, I.Eglīte. Опыт работы с отстающими студентами на кафедре инженерной математики в Рижском техническом университете. International Scientific and Methodological Conference Materials "Problems of mathematical education" (PME – 2010), Cherkasy, Ukraine, November 24. – 26, 2010, p. 178 - 179.
2. I.Volodko, S. Čerņajeva, I.Eglīte. Система образования в Латвии. International Scientific and Methodological Conference Materials "Problems of mathematical education" (PME – 2010),
156
Cherkasy, Ukraine, November 24. – 26, 2010, p. 36 - 37.
3. I.Volodko, I.Dzenite. The use of the package „Mathematica” in teaching of mathematics in Riga Technical University. Proceedings of the 2009 International Conference on Engineering and Mathematics. Bilbao, Spain, June 17 – 19, 2009, p. 75 – 79.
4. I.Volodko, V.Koliskina. Teaching linear algebra, analytic geometry and basic vector calculus with mathematica at Riga Technical University. New aspects of engineering education. Proceedings of the 5th WSEAS/IASME International Conference on engineering education. Heraklion, Greece, July 22 – 24, 2008, p. 79 – 83.
5. I. Volodko, I. Iltiņa, I. Iltiņš, V. Gošteine. Additional Opportunities for Teaching Mathematics by Means of Online Mathematical Courses. International IGIP ( International Society for Engineering Education) and SEFI (European Society for Engineering Education ) Conference, Hungary, 30 June – 5 July 2007.
4. I. Volodko, I. Iltiņa, I. Iltiņš, V. Gošteine. Blackboard Learning System Application for Teaching Mathematics. 35th International Symposium „Engineering Education – the Priority for Global Development”, Book for Abstracts, Tallinn, Estonia, September 18-21, 2006, p.76.
Courses delivered
Mathematics
Discrete mathematics
Supplementary mathematics
Number of publications: 77
Publications (last 6 years)
Scientific publications:
1. I.Volodko, V.Koliskina. Solution of eddy current testing problems for multilayer tubes with varying properties. International Journal of Mathematical Models and Methods in Applied Sciences, vol. 5, issue 4, 2011, pp. 781-788.
2. I.Volodko, V.Koliskina. The change in impedance of a double conductor line due to a two-layer medium. Recent Researches in Communications & IT. Proceedings of the 15th WSEAS International Conference on Communications. Corfu Island, Greece, July 14 – 17, 2011, pp. 228 – 232.
3. I.Volodko, V.Koliskina. Analytical solution of an eddy current problem for a two-layer tube with varying properties. Recent Researches in Communications, Electrical & Computer Engineering. 9th WSEAS International Conference on Applied Electromagnetics, Wireless and Optical Communications. Playa Meloneras, Gran Canaria, Canary Islands, Spain, March 24 – 26, 2011, p. 262 – 265.
4. I.Volodko, V.Koliskina. A single-turn coil with alternating current inside a cylindrical region with
157
varying electric conductivity and magnetic permeability. Recent Research in Communications, Automation, Signal Processing, Nanotechnology, Astronomy & Nuclear Physics, Cambridge, Great Britain, February, 2011.
5. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. RTU Zinātniskie raksti. Datorzinātne. Sērija 5, sējums 45, Rīga, 2010, 77. – 81. lpp.
6. I.Volodko, V.Koliskina. Double conductor line above a two-layer medium with varying electric conductivity and magnetic permeability. Abstracts of the 15th International Conference “Mathematical Modelling and Analysis”, Druskininkai, Lithuania, May 26 – 29, 2010, p.47.
7. I.Volodko, V.Koliskina. Calculation of a coil’s impedance for the case where electric and magnetic properties of a conducting half-space depend on a vertical coordinate. Abstracts of 8th Latvian Mathematical conference, Valmiera, Latvia, April 9 – 10, 2010, p. 38.
8. I.Volodko, V.Koliskina. Impedance of a coil above a half-space with varying electric and magnetic properties. RTU Zinātniskie raksti. Datorzinātne. Sērija 5, sējums 41, Rīga, 2009, 44. – 48. lpp.
9. I.Volodko, V.Koliskina. Linear instability of mixing layers in two-phase shallow flows. Abstracts of the 14th International Conference “Mathematical Modelling and Analysis”, Daugavpils, Latvia, May 27 – 30, 2009, p.87.
10. I.Volodko, V.Koliskina. Linear Stability Characteristics of Wake-Shear Layers in Two-Phase Shallow Flows. International Journal of Mechanical, Industrial and Aerospace Engineering 3:3, 2009, p. 188 – 192.
11. I.Volodko, V.Koliskina. Linear instability of wake-shear layers in two-phase shallow flows. Proceedings of World Academy of Science, Engineering and Technology. Bangkok, Thailand, December 17 – 19, 2008, p. 698 – 702.
12. I.Volodko, V.Koliskina. Transient flows in pipes and channels: analytical solutions. New aspects of energy, environment, ecosystems and sustainable development. Proceedings of the 4th IASME/WSEAS International Conference on energy, environment, ecosystems and sustainable development. Algarve, Portugal, June 11 – 13, 2008, p. 265 – 268.
13. I. Volodko, V. Koliskina. Linear instability of wake-shear layers in shallow water. Environmental science, ecosystems & development. Proceedings of the 5th WSEAS International Conference on environment, ecosystems and development. Puerto De La Cruz, Tenerife, Canary Islands, Spain, December 14-16, 2007, p. 40 – 44.
14. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. International Journal of Pure and Applied Mathematics ISSN 1311-1728 (raksts pieņemts publicēšanai).
15. M. Iltina, I. Iltins, I. Volodko. Temperature Field Created by Lasting Variable Exteral Influence. Fourth International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2007, vol. 2, p.218.
16. A. Kolyshkin, R. Vaillancourt and I. Volodko. Complex Ginzburg-Landau equation for suddenly
158
blocked unsteady channel flow. ESI preprint 1656, The Erwin Schrödinger International Institute for Mathematical Physics, Vienna, Austria (raksts pieņemts publicēšanai).
17. A. Kolyshkin, I. Volodko, I. Iltins, M. Iltina. Transient method for leak and partial blockage detection in pipelines. Third International Conference of Applied Mathematics, Plovdiv, Bulgaria, August 12-18, 2006, p.158.
18. M.S. Ghidaoui, A. Kolyshkin, I. Volodko. A mathematical model for detection of a partial blockage in pipelines using fluid transients. 5th Vienna Symposium on Mathematical Modelling, Abstract Volume, Full Papers CD, Vienna, Austria, February 8-10, 2006, p.282.
19. A. Kolyshkin, R. Vaillancourt and I. Volodko. On the stability of transient viscous flow in an annulus. Advances in Mechanics of Solids, World Scientific, Series B, Volume 15, 2006, p. 139 - 150.
Methodological publications:
1. S. Veģere, I. Volodko, A. Koliškins, V. Kremeņeckis. Matemātikas uzdevumu risināšana ar MATHEMATICA5. Rīga, RTU Izdevniecība, 2009, 225 lpp.
2. I. Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. II daļa, Rīga, Zvaigzne ABC, 2009, 396. lpp.
3. I. Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. I daļa, Rīga, Zvaigzne ABC, 2007, 294. lpp.
4. N. Orbidāne, V.Gošteine, Dz. Lūse, I. Volodko. Tipveida uzdevumi matemātikas papildnodaļās transporta un mašīnzinību spacialitātēm. RTU, 2006, 73 lpp. (Atkārtots, papildināts izdevums).
5. A. Koliškins, I. Volodko. Varbūtību teorijas un statistikas elementi. RTU, 2006, 81 lpp. (Atkārtots, papildināts izdevums).
In-service training (last 6 years)
English course:
28.09.2005. – 01.02.2006. – 108 hours;
06.03.2006. – 12.07.2006. – 108 hours;
12.09.2006. – 09.01.2007. – 98 hours;
06.02.2007. – 29.05.2007. – 95 hours;
13.09.2007. – 22.01.2008. – 105 hours;
29.01.2008. – 29.05.2008. – 105 hours;
18.09.2008. – 05.02.2009. – 110 hours;
03.03.2009. – 02.06.2009. – 81 hours;
09.2010. – 12.2010. – 96 hours.
8 hours teaching at the University of Aveiro 15 – 24 February 2006.
Academic and social societies (membership)
159
Member of Latvian Scientific Union.
Member of the Board of Latvian Mathematic Society.
Member of RTU Faculty of Computer Science and Information Technology Council
Member of Riga Technical University Senate
2410.2010.
(Signature)
160
Dr. Hab.comp.sc., professor V.Zagursky
Head of Computer networks and systems
technology department.
RTU, Faculty of Computer science and
information technology
Latvia
Phone: +37167089543
Fax: +371 67089520
E-mail:
[email protected],[email protected]
Research interests:
Computer networks and
systems architecture and
technology
Comparative digital signal
processing in frequency and
time domains
Testing and design of the
mixed signal circuits and
systems
Wireless and wire sensor
networks
Valery Zagursky has been working in Institute of Electronic and Computer Science (IECS)
starting from 1965, engineer 1965-1968, junior researcher 1968-1973, senior researcher
1979-1983, head of laboratory 1983-2007, principal researcher from 2008. He has degrees:
Candidate of technical sciences, Latvian Academy of Sciences (Riga), 1972, Senior
researcher, USSR Academy of Sciences, Institute of Control Problem (Moscow), 1978, Doctor
of technical sciences, Ukrainian Academy of Sciences Institute of Cybernetics (Kiev), 1990,
Doctor Habilitus Computer Sciences, Latvian University (Riga), 1992. He has been involved in
various projects related to development of novel digital signal processing methods and their
applications as well as development of multiple measurement and control systems:
V.Zagursky (Head of Project), Problems of analog-digital system metrology, Latvian Council
of Science (LCS), 1991-1993, V.Zagursky (Head of LCS Project), Creation and investigation
whole dynamic testing methodology of heterogeneous analog-digital systems, 1994-1996,
V.Zagursky (Principal Researcher of LCS project), Distributed systems for local monitoring of
dynamic objects, Latvian Council of Science, 1994-1996,V.Zagursky (Head of LCS project),
Creation of information technology for codesign and test high performance analog-digital
systems,1997-2000, V.Zagursky (Head of LCS project) “Multimedia mixed signal systems
testing and design ” Nr.01.0032, 2000.-2004.gg., V.Zagursky (Head of LCS project ) “
Multimedia mixed signal systems verifikācija”Projekts Nr.05.1395, 2005.-2008.gg.,
V.Zagursky (Principal researcher of LCS project) “Multimedia based e-services systems choise
of architecture ”. Nr.05.1661,2004.-2008.gg., V.Zagursky (Principal researcher of LCS project)
“ Electronic services intelectual control”, Projekts Nr. 09.1240,2009.-2012.gg.,
V.Zagurskis(Principal researcher ofLCS project), ”Wireless embedded systems performance
and energy consumption optimization”, Nr.05.1345,2009.-2012.gg.,
V.Zagursky(developer-ekspert of ERAF projects
No:2005/0131/VPD1/ESF/PIAA04/APK/3.2.3.2/0004/0067, „COMPUTER NETWORKS AND SYSTEMS
161
ARCHITECTURE”,No : 2005/0125/VPDI/ESF/PIAA/APK/3.2.3.2/0062/0007, “COMPUTER
NETWORKS”
Research and development activities have been carried out in parallel and implemented in a
number of instruments and integrated systems. Five doctor dissertation have been
performed during the research works, has been received Latvian state award (1980), and
Award of the Latvian Academy of Sciences (1987). Author of more than 245 publications,
including 39 inventions, inclusion in the 1998, edition of International Who’s Who of
Information Technology Professionals. V.Zagursky is IEEE professional member (
No40187763) from 1992, ACM-Association for Computing Machinery member (No4776480)
from1995, Journal Automatic Control and Computer Science editorial member, Riga
Technical University(RTU), Computer Science and Information Technology faculty professor
cuncil member from 1997, habilitation doctor council member from 2003, RTU Elektronic un
telekomunicacion fakulty habilitation doctor coucil member from 2003.g., E U ekspert
komision member (ERAF 1.1.1.2 aktivity project 1DP/1.1.1.2 0/ 09/APIA/VIAA/138), LCS
ekspert comision member (Computer Science, Information Technology Electronic an
telecommunication directions – projekti 09.1247, 05.1359, 06.0027, 05.1421-2008.g.,
2009.g). The Iasted International Conferences on Circuits, Signals and Systems ,CSS2004,
Florida USA , CSS2005, Marina del Ray, Orlando, USA, CSS2006, San Francisko, California,
USA - International Program Commitee, member, International Scientific Conference
Informatics in the Scientific Knowledge 2006.g.,-International Program Commitee member,
Fourth International Workshop on Content-Based Multimedia Indexing, CBMI 2005.g., Riga,
Latvia- InternationalTechnical Program Commitee member.
Recent publications
1.V.Zagursky, Improving Identification Algorithm for Mixed Signal Systems,SICPRO 07,VI International conference, ISBN 5-201-14492-8” System Identificatio and Control Problems” Moscow, January29- 1February 2007g.Proceedings, pp.937-942.
2.V.Zagursky, Dz.Zibin, Random Multiple Access Method for Wire and Wireless
Local networks, 17-th International Conferenceon Computer Theory and
Applications, ICCTA 2007, Egypt , Alexandria, 1-3 September, Proceedings, 2007g.
pp137-141.
3.V.Zagursky, D.Bliznjuk, Approach for wireless resources access control, The
ICS2008 International Computer Symposium, November 13-15, 2008,
TamkangUniversity,Damsui,TaipeiCounty, Taiwan, R.O.C. Proceedings of 2008
International Computer Symposium, 145-150pp.http://ics2008.csie.tku.edu.tw/
4.V.Zagurskis, A.Morozovs, Dažu jautājumu analīze un atrisinājumi daudzkanālu
sistēmas laika intervālu reģistrācijas konstruēšanai. Proceedings of RTU 49th
International Scientific Conference ISSN 1407-7493,Technology of Computer
Control, RTU , Riga 2008g. October 13-15,pp.63-72.
5.Zagurskis, D Bliznjuks, Pieeja bezvadu resursi piekļuves kontrolei, Proceedings of
RTU 49th International Scientific Conference ISSN 1407-7493,Technology of
Computer Control, RTU , Riga 2008g. October 13-15 pp.72-80.
6.Zagursky, D.Bliznjuk, Approach to verification of mixed-signal non-linear object,
Proceedings of VIII International Conference , ISBN 978-5-91450-027-3, “..System
162
Identification and Control Problems” SICPRO-09, Moscow,January26-
30,2009g.813-830pp. 7.Zagursky, A.Morozov, Macromodel for uncertainty estimation of mixed-signal system elements under extreme operating condition, Proceedings of VIII International Conference, ISBN 978-5-91450-027-3, “..System Identification and Control Problems” SICPRO-09, Moscow,January26- 30,2009, 821-827pp 8, R.Taranovs, V. Zagurskis, Jaunā pieeja vides piekļuves vadībā bezvadu sensoru tīklos, RTU zinātniskis raksti, ISSN 1407-7493,5. sērija, Datorzinātne, Datorvadības tehnoloģijas, Rīga,2009.g.,50-57lpps.,
163
CURRICULUM VITAE PERSONAL INFORMATION
First name, surname: Jānis Zvanītājs E – mail: [email protected]
Telephone at work: 67089374
Identify number: 130157-10519
LANGUAGE PROFICIENCY
Mother tongue: Latvian
Other languages: Russian and English
EDUCATION
1980 – Graduated Polytechnic Institute of Riga. Specialty – engineer economist.
SCIENTIFIC DEGREES
1985 – Candidate degree of economics science.
1992 – Doctorate degree in economics.
PROFESSIONAL ADVANCEMENT
2002 – Training of managers of Euroinovations (EU training course IPS-2000-00056).
Certificate No. EIM/214/2002.
1998 – Digestion and development of BALTEX educational programmes in Sweden.
1995 – Academic course of Sweden board “Property rights and action of board”
WORK EXPIERENCE:
From 2005 – Professor of Technical University of Riga.
From 1990 – Head of department in RTU Faculty of Engineering Economics and
Management, at present – Head of department of Organizing of Production and
Entrepreneurship.
1994 – 1995 Minister of Economics of Republic of Latvia.
RESEARCH WORK AND PARTICIPATION IN THE ACADEMIC PROJECTS
1. Improvement of Quality System, from January 2008 till December 2008. 2. Interrelationship of development of economic sectors in Latvia, from October 2007
till 15th September 2008, Manager. 3. Modelling and fortification of capacity of supporting system of projection area of
Riga for implementation of strategy of lifelong education, Council of Riga, 2006. 4. Forecast of development of infrastructure of Daugavpils city, Council of Daugavpils,
2005. Estimation expert of applications for tender of EU Social fund, Ministry of Education and
Science of Republic of Latvia, 2005.–2006.
PUBLICATIONS
164
1. J. Zvanītājs, D. Ādmīdiņš. Influence of Mortgage Lending to the Real
Estate’s Insurance Market in Latvia. Evropske finančni systemy 2010.
Sbornik prispevku z mezinarodni vedecke konference. Brno, Ceska
republika, 2010., p.197–201.
2. J. Zvanītājs, D. Ādmīdiņš. The Influence of National Economic
Development on the Real Estate Market of Latvia. International Cross-
Industry Research Journal. Perspectives of Innovations, Economics and
Business. Volume 3, p. 52–54.
3. “Support for Decentralized Electricity Producers in Latvia and Its Role in
Setting Electricity Prices”. Co-author A. Deniņa. University of Latvia,
Scientific Issue of Publications, Volume 743, Economics. Business
Administration, 2009.
4. “Planning and Analysis of Operation with Organization Assets”. Co-author V.
Stavecka. University of Latvia, Scientific Issue of Publications, Volume 737,
Economic, VII, 2008.
5. “Management problems of efficient energy use in the multi-flat houses in
Latvia” (7 p.).” Co-author A. Deniņa. Scientific Issue of Publications, III
International Scientific Conference “The innovation Technologies of Social
and Economic Complex”, Institute of Economy, Podolsk, 2007
6. “Role of efficient energy use and its management in Latvia”. Co-author A.
Deniņa. Abstract of presentation on 48th
International Scientific Conference of
Riga Technical University, RTU, 2007.
7. “”Problems of organization of tax administration”. Co-author V. Stavecka.
Abstract of presentation on 48th
International Scientific conference of Riga
Technical University, RTU, 2007.
8. “Assessment of Efficiency of the Economic Sectors” (9 p.). Co-author J.
Reķe. University of Latvia, Scientific Issue of Publications, Volume 702,
Economic, V, 2006. 9. “Payment Cards and Organisation of Minimisation of Risks” (7 p.). Co-author M.
Priede. Scientific Works of Scientific Conference “Problems of development of national economy and entrepreneurship”, Riga, RTU, 2006.
10. “Efficiency of the Economic Sectors in Latvia” (7 p.). Co-author J. Reķe. University of Textile of Moscow (Russia), International Scientific Issue of Publications, 2006.
11. “Efficiency of the Economic Sectors in Latvia” (6 p.). Co-author J. Reķe. University of Daugavpils, International Scientific Materials of Conference “Efficiency and Competition”, 2006.
12. “Problems of Entrepreneurship in Latvia”. Co-author J. Reķe. Abstract of
presentation on 46th
International Scientific Conference of Riga Technical
University, RTU, 2005.
13. “Payment Cards and Organisation of Minimisation of Risks”. Co-author M.
Priede. Abstract of presentation on 46th
International Scientific Conference of
Riga Technical University, RTU, 2005.
14. “Global Logistics Influence to Operation of Ports in Latvia” (10 p.). Co-
author J. Vanags. Scientific Works of RTU, 2004.
15. “Prognosis of Development of the Infrastructure in Daugavpils”. Abstract of
presentation on 45th
International Scientific Conference of Riga Technical
University, RTU, 2004.
16. “Global Logistics Influence to Operation of Ports in Latvia”. Co-author J.
Vanags. Abstract of presentation on 45th
International Scientific Conference
of Riga Technical University, RTU, 2004.
165
17. “Optimization of Decisions of Management”, brochure (68 p.). Co-author A.
Pavlov. Institute of Economics Strategy, Moscow, 2004.
18. “Tendencies of Development and Organization of National Economy in
Latvia in Transition Period” (9 p.). University of Textile of Moscow (Russia),
2004.
Teaching materials
1. J. Zvanītājs, G. Kozaka “Regulation on Field Practice for Professional Masters in Department of Organizing of Production and Entrepreneurship”, RTU, 2007.
2. N. Baranovskis, J. Zvanītājs “Organization of Resources of Entrepreneurship”, RTU, 2002.
PARTICIPATION IN SCIETIFIC CONFERENCES
1. International scientific conferences of Riga Technical University – 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003.
2. Scientific Conference of University of Textile of Moscow (Russia) devoted to 85th anniversary of university. Conclusion of agreement of collaboration _ 23.11.2004.
3. Methodical Conference on Foundation Unified Teaching Program for High Schools in Baltic States “Hanseatic”. Sweden – 2002, Latvia – 2003, Estonia – 2004.
4. Implementation of Business Games in the training Process – Moscow Agriculture Institute, 2003.
PEDAGOGICAL WORK
The pedagogical work experience in higher education – 28 years (since 1980).
Dissertations conducted: R. Sabulis, presented in 2005, RTU.
J. Vanags, presented in 2004, RTU.
4 dissertations are in the work process.
Dissertations reviewed: S. Iljina, University of Textile of Moscow (Russia), 2007.
J. Duka, University of Latvia, 2006.
Master’s works conducted: 5 Master’s works every year.
Bachelor’s works conducted: 10 Bachelor’s works every year.
Courses taught:
1. Organization of Work. 2. Organization of Investments of Production. 3. Organization of Management of Production. 4. Organization of Development of Entrepreneurship. 5. Organization of Management of Entrepreneurship. 6. Problems of Organization of Entrepreneurship. 7. Planning and Organization of Entrepreneurship. 8. Organization of Production and Services.
Development and Management of Programs of Studies: Entrepreneurship and
Management.
Courses of Lectures in the Foreign High Schools: 26th April – 3rd May, 2007 – Course of
Lectures “Organization of Production” in University of Textile of Moscow (Russia).
ORGANIZATIONAL SKILLS AND COMPETENCES
166
Member of Programme Committee and Editorial Board of International Scientific
Conference of RTU.
Member of Senate of RTU.
Member of Scientific Committee of RTU.
Council Member of Engineering Economics and Management Faculty of RTU.
Editorial Board Member of Scientific Works of Engineering Economics Faculty and
Management of RTU.
167
168
169
Appendix 5 – Descriptions of the study programme’s subjects
RTU Course "The English Language"
01A01 Speciālā lietojuma valodu katedra
General data
Code HVD101
Course title The English Language
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Languages
Responsible instructor Derkača Ludmila
Academic staff Derkača Ludmila
Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 30
Maximum number of students per semester 9999
Abstract Entering the university after secondary school the students nowadays have a relatively high level of
the English language skills. Therefore, sustaining and improving this level it is important to provide
the students with the opportunity to apply their basic knowledge within the framework of the
chosen scientific and professional field. The aspects of language application are significant, i.e., it is
important to acquire special terminology, grammar constructions that are typical of the literature of
specific areas. To improve the competitiveness of graduate engineers in the international labor
market it is necessary to provide the students with opportunity to use the language often and more
effectively in all those aspects within the selected professional field. All the texts for reading
comprehension, writing and speaking topics are selected according to the study program taking into
account the average level of language skills. The selected lexical and syntactic constructions typical
of the technical language and language for specific purposes (LSP) are taught independently on the
study program.
Goals and objectives of the course in terms of
competences and skills
The aims of the program are to develop students' speaking, writing, reading and listening skills; to
improve students' knowledge of business English and business correspondence skills; to increase
the stock of professional terminology, and to develop students' communicative competences.
Particular emphasis is put on developing and improving of reading, comprehension and
interpretation skills while working with professional original texts of intermediate and advanced
level in English identifying, solving and explaining problems of text comprehension.
Structure and tasks of independent studies Two home reading tasks a semester. The students read and work in details with at least two
independently selected texts on special field, summarize the information, prepare presentation,
master new terminology from the texts.
Recommended literature 1. Baye, M. Managerial Economics & Business Strategy. 2005.
2. Guide to Economic Indicators: Making Sense of Economics. The Economist, 2007.
3. McConnell, C.R., Brue, S.L., Economics: Principles, Problems, and Policies. 16th ed.
2004.
4. Mishkin,F.S. The Economics of Money, Banking, and Financial Markets. Prentice Hall,
2006.
5. Allen, E., Thallon, R. Fundamentals of Residential Construction . 2006.
6. Allen, E., Iano, J. Fundamentals of Building Construction: Materials and Methods. 2003.
7. Chen, W.F., Richard Liew, J.Y. The Civil Engineering Handbook, on (New Directions in
Civil Engineering). CBS Press, 2002.
8. Stevenson, N. Architecture: The World's Greatest Buildings Explored and Explained. DK
Publishing, 1997.
9. Goleniewski, L., Jarrett, K. W. Telecommunications: A Beginner's Guide. McGraw-
Hill/Osborne, 2006.
10. Gross, L.S., Fink, E. J. Telecommunications: An Introduction to Electronic Media with
170
PowerWeb. 2005.
Course prerequisites Secondary school level after centralised exam
Courses acquired before
Course outline
Theme Hours
Negotiating agreement. Reading reports. A plan of the text; conclusions. Exchanges featuring negotiations. 2
Reading manuals, instruction booklets, technical brochures, directories, data bases etc. 4
Text on speciality. Exchanges featuring meetings. Meetings, chairing a meeting, taking turns, interrupting 3
Text on speciality. Introduction into describing tables, charts and diagrams. Describing trends and development 3
Text on speciality. A report describing tables, charts and diagrams, Science and scientists 8
Interviewing. Employment contract. Remuneration, CV and the letter of application, Exchanges featuring interviews 4
Home reading No.1 4
Text on speciality. Argumentative essay: introduction. Exchanges featuring discussions 2
Ergonomics, health and safety at work, Argumentative essay: structure and language, Exchanges featuring discussions 2
Text on speciality, Essay: The Factors to Consider when Choosing a Job 2
Text on speciality. Discussion based on the text 20
Home reading No.2 4
Text on speciality. Discussion based on the text. Exchanges featuring opinions. 2
Text on speciality. Discussion based on the text Listening comprehension test (10-15 mins). 4
Learning outcomes and assessment
Learning outcomes Assessment methods
The students are able to adequately use terminology and specific grammar constructions, recognize
and define particular terms.
During the classes the students correctly use
terms in speaking and writing activities.
During the assessments they complete tasks for
special vocabulary usage to test terminology
competence. Student
The students are able to recognize and write essays of different types, and compile technical
documentation.
The students successfully perform all the tasks
connected with writing skills development
having completed three written works per
academic semester.
The students are able to participate in general and profession-oriented discussions, dialogues,
interviews and other types of communicative situations.
During the semester the students take active
part in the speaking activities at the regular and
assessment classes, presenting their thoughts in
a clear comprehensible form, answering
questions
The students are able to recognize, analyze, evaluate and summarize scientific technical information
from various scientific and popular scientific resources.
The students independently select and master
at least two scientific technical texts from
internationally approved sources, prepare
presentation and commentaries on the obtained
information.
The students are able to successfully pass a final exam testing listening, reading, writing and speaking
skills.
The assessment is carried out according to 10-
grade scale. Language proficiency level should
correspond to the level B2 according to CEFR.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 1.0 0.0 2.0 0.0 *
2. * * 1.0 0.0 2.0 0.0 *
RTU Course "Basics of autonomous and mobile robotic systems"
12307 Sistēmu teorijas un projektēšanas katedra
General data
171
Code DSP711
Course title Basics of autonomous and mobile robotic systems
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Ņikitenko Agris
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The course provides basic knowledge about autonomous robotic systems. The course consists of
lectures and three practical home works that enables to apply the most essential methods for mobile
robot control.
Goals and objectives of the course in terms of
competences and skills
The main goal is to provide basic theoretical knowledge and provide means for development of
practical skills about autonomous systems and use of the most essential control methods.
Structure and tasks of independent studies The course includes three assignments on: Kinematic models of mobile robotic systems,
Selflocalization, Motion planning and navigation
Recommended literature 1) R.Siegwart, R. Naurbaghsh Introduction to autonomous mobile robots, MIT Press, 2004.
2) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education
Inc., 2003.
Course prerequisites Mathematics, Physics
Courses acquired before
Course outline
Theme Hours
Introduction, terms of autonomous and mobile robotic systems 2
Classification of autonomous and mobile robotic systems 2
Kinematic models of mobile robotic platform and their constraints 6
Maneuverability of mobile robots and their workspace 4
Perception and its processing in autonomous systems 6
Selflocalization and mapping 6
Motion planning and navigation 6
Learning outcomes and assessment
Learning outcomes Assessment methods
Is able to distinguish autonomous and mobile systems Separate questions in final test
Is able to describe the basic kinematic models of mobile platforms and their constraints. Can apply
them for practical use.
Separate questions in final test and practical
homework
Is able to describe basic methods for perception processing in mobile robotic platforms Separate questions in final test
Is able to describe and apply basic methods of selflocalization. Separate questions in final test and practical
homework
Is able to describe and apply basic methods of motion planning Separate questions in final test and practical
homework
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Civil Defence"
22231 Darba un civilās aizsardzības katedra
General data
Code ICA301
Course title Civil Defence
172
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Environmental Engineering and Management
Responsible instructor Jemeļjanovs Vladimirs
Academic staff Jemeļjanovs Vladimirs
Volume of the course: parts and credits points 1 part, 1.0 Credit Points, 1.5 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The civil defence as a state system, its tasks, legal foundation. Requirements for this system.
Preventive measures for stability of industrial object in case of ES. Organization and relization of
rescue and other urgent measures in case of ES.
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1.A.Jemeljanovs, V.Škepasts „ Civilā aizsardzība „ RTU, 1996,-200lpp.
2.Laborotorijas ( praktiskais) darbs „ Civilās aizsardzības pasākumu plāns” RTU,200.-35lpp.
3. Laborotorijas darbs „ Sprādzienbīstamība un ugunsbīstamība „ RTU,2009.
4. Laborotorijas darbs: „Bīstamās ķīmiskās vielas un produkti ”, RTU,2009.
5. Laborotorijas darbs:”Radiācijas drošība” RTU, 2009.
Citi materiāli
1.Latvijas Republikas Satversme
2.Nacionālās drošības likums
3.Ugunsdrošības un ugunsdzēsības likums
4.Civilās aizsardzības likums
5.Likums „Par izņēmuma stāvokli”
6.Ķīmisko vielu un ķīmisko produktu likums
7.Likums „Par radiācijas drošību un kodoldrošību”
8.Likums „Par hidroelektrostaciju hidrotehnisko būvju drošību”
9.Epidemioloģiskās drošības likums
10.Ministru kabineta 2004.g. 17.februāru noteikumi Nr.82 „Ugunsdrošības noteikumi”
Course prerequisites
Courses acquired before
Course outline
Theme Hours
2
2
1
4
2
5
Learning outcomes and assessment
Learning outcomes Assessment methods
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 1.0 0.5 0.0 0.5 *
173
RTU Course "Fundamentals of Computer Graphics and Image Processing"
12212 Attēlu apstrādes un datorgrafikas profesoru grupa
General data
Code DAA300
Course title Fundamentals of Computer Graphics and Image Processing
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Glazs Aleksandrs
Academic staff Glazs Aleksandrs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN
Possibility of distance learning Not planned
Maximum auditorium capacity 170
Maximum number of students per semester 350
Abstract Today, working with computer is connected to graphical objects creation in 2D and 3D space, as
well as image processing. In this course students learn about different methods of graphical
primitives construction as well as graphical objects transformation and visualization methods.
Students are also acquainted with various image processing methods, including image quality
enhancement and image compression.
Goals and objectives of the course in terms of
competences and skills
To provide academic education in computer graphics and image processing. To learn about raster
graphics algorithms, 2D and 3D object visualization and transformation, as well as image
processing method and algorithm. To use the acquired knowledge for formulating and solving
different specific tasks.
Structure and tasks of independent studies Unaided assignment completion is integrated with learning the theory and practical assignments.
Students construct graphical objects in 2D and 3D space without assistance.
Recommended literature 1. "Computer Graphics. Principles and practice. Second edition in C", Foley I., Van Dam A., Feiner
S., Hughes I., Addison - Wesley Publishing company, 1997.
2. "Fundamentals of Computer Graphics, Second Edition." P. Shirley, M. Ashikhmin, M. Gleicher,
S. Marschner, E. Reinhard, K. Sung, W. B. Thompson, P. Willemsen, A K Peters, Ltd, 2005
Course prerequisites DIP101 ,Computer Studies I.
Courses acquired before
Course outline
Theme Hours
Introduction to Computer Graphics and Image Processing. 4
Graphical primitives. Raster graphic algorithms. Algorithm for straight line construction. 4
Circle generating algorithm. 4
Ellipse generating algorithm. 4
Curve generating algorithms. Interpolation and approximation. Bezier curves. 4
2D objects visualization tasks realization. Geometrical transformation of 2D objects. 4
3D objects visualization tasks realization. Projections. 4
Image processing. Image quality enhancement. Contrast enhancement. Noise reduction. Image compression. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Students are able to discuss the fundamentals, advantages and limitations of computer graphics and
image processing. Students have knowledge of different raster graphics algorithms.
Written exam, that includes questions about
the theory as well as practical assignments.
Students are able to develop a program that realizes 2D and 3D object construction. Laboratory works.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
174
1. * 2.0 1.0 0.0 1.0 *
RTU Course "Foundations of Computer and Robotic Systems Design"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP724
Course title Foundations of Computer and Robotic Systems Design
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Design process is one of the most important phases of system development. The course considers
process and methodologies of design, description methods of design objects, top down, bottom up,
internal and external design, methods and models of conceptual design, computer and technical
system life cycles, creation methods in design, CAD systems, methods of optimal decision making,
principles of knowledge-based design, methods of robotic systems design, development of
autonomous mobile robots and integration of robotic systems.
Goals and objectives of the course in terms of
competences and skills
The goal of the course in to give polymathy of design process, methodologies, typical procedures
and design systems which are used in computer and robotic systems design.
Structure and tasks of independent studies Students must work out a course work in which he/she must choose and practically implement the
appropriate method of design to get the optimal solution for the robotic system.
Recommended literature 1. Duffy A.H.B. and O'Donnell F.J.A. Design Research Approach. In: Critical Enthusiasm -
Contribution to Design Science, 1999, pp. 33-40.
2. Goel A.K. et al. Functional Explanation in Design. In: Proceedings of IJCAI-97 Workshop on
Modeling and Reasoning about Functions, 1997, pp. 1-10.
3. Goel A.K. Design, Analogy and Creativity. IEEE Expert Special Issue on AI in Design, 1997,
pp. 0-25.
4. Falting B. Qualitative Models in Conceptual Design: A Case Study. Ecole Polytechnique
Federale de Lausanne, Switzerland, 1991.
5. Shuzhi Sam Ge and Lewis F.L. Autonomous Mobile Robots. CRC Press, Taylor & Francis,
2006.
6. Siegwart R. and Nourbakhsh I.R. Introduction to Autonomous Mobile Robots. A Bradford Book,
The MIT Press, 2004.
Course prerequisites Students must know general conceptions of graph theory and special types of graphs.
Courses acquired before DSP202 Discrete Structures of Computer Science
Course outline
Theme Hours
Principles, tasks and process of design 2
Description and hierarchical levels of design objects 2
Foundations of design methodologies 2
Top down, bottom up, internal and external design 2
Methods and models of conceptual design 2
Models and life cycles of computer and technical systems 2
Routes, modes and typical procedures of design 2
Creation methods in design 2
Computer-aided design (CAD) systems 2
Analysis and description methods of functions of technical systems and elements 2
Morphological analysis and synthesis of technical solutions 2
Methods of optimal decision making in design 2
Foundations of knowledge-based (intelligent) design 2
175
Methods of robotic systems design 2
Methods of development of autonomous robots 2
Integration of robotic systems 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know theoretical foundations and methodologies of design Questions of the theoretical part of
examination
Students will be able to describe object of design and its functions Defence of course work, questions of the
theoretical part of examination
Students will know creation methods in design Questions of the theoretical part of
examination
Students will be able to choose and apply appropriate methods of design and methods of optimal
decision making
Defence of course work, questions of the
practical part of examination
Students will know methods of knowledge-based (intelligent) design Questions of the theoretical part of
examination
Students will be able to choose methods and to develop robotic systems design Defence of course work, questions of the
theoretical part of examination
Students will know methods of development of autonomous mobile robots and methods of
integration of robotic systems
Questions of the theoretical part of
examination
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Introduction to Digital Electronics"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEI505
Course title Introduction to Digital Electronics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Galkins Iļja
Academic staff Galkins Iļja
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 12
Maximum number of students per semester 60
Abstract Digital quantities, number systems, logic functions, Boolean algebra and laws, Karnaugh map,
analysis and design of combinational logic circuits, fixed function logic circuits, programmable
logic and its description methods.
Goals and objectives of the course in terms of
competences and skills
Develop the ability to design control system with help of logic circuits and programmable logic and
to debug the developed circuits.
Structure and tasks of independent studies Description of laboratory work should be prepared before lab. Analysis and evaluation of results
should be made after it. Descriptions of all practical exercises and analysis of results should be
collected and defended prior session.
Recommended literature J.Greivulis, I.Raņķis „Iekārtu vadības elektroniskie elementi un mezgli” Rīga:Avots, 1997,288 lpp.
J. Priedīte „Ciparu tehnika energoautomātikā”
Rīga: RTU, 2003, 312. lpp.
I.Rankis, A.Zhiravetska „Electronics” Riga:RTU, 2005,110 p
T.L. Floyd „Digital fundamentals”
176
Prentice Hall, 2005, 888 p
Holdsworth, B.; Woods, R.C. „Digital Logic Design”
Newnes, 2003, 521 p
Course prerequisites Basic knowledge of analog and digital quantities, number systems and integrated circuits.
Courses acquired before EEE202 Electron Devices AND EEP475 Electronic Equipment
Course outline
Theme Hours
Key terms of digital electronics. 2
Number systems and codes. 4
Laws and rules of Boolean algebra and methods of logic expression simplification. 2
Analysis of combinational logic circuits. 2
Design of combinational logic circuits. 2
Flip-Flops. 2
Calculation of timer switching frequency. 1
Analysis and design of synchronous counters. 2
Design of sequential logic. 2
Analysis and design of synchronous decade counter. 2
Design of control system. 7
Digital circuit description language VHDL. 2
Design flow in Quartus environment. 2
1st Lab. Design of combinational logic with VHDL. 2
2nd Lab. Sequential circuit design with VHDL. 2
3rd Lab. Digital circuit description in Quartus environment. 2
4th Lab. Design of combinational logic in Quartus environment. 2
5th Lab. Design of sequential logic in Quartus environment. 2
6th Lab. Control system design with help of Quartus environment and its implementation in programmable logic. 6
Learning outcomes and assessment
Learning outcomes Assessment methods
Ability to apply arithmetic operations to binary number system. Executed and defended home task.
Ability to describe functions of logic gates, to recognize the symbols of logic gates and to evaluate
parameters of integrated circuits.
Exam on relevant subjects covered in lectures.
Ability to develop the truth table, to design the combinational and sequential logic circuits and
control system.
Laboratory works on control system design
should be executed and defended.
Ability to design the digital circuits in Quartus environment by different methods. Laboratory works on digital circuit design by
circuit editor and VHDL language should be
executed and defended.
Ability to use programmable logic devices for digital electronics applications. Laboratory works on programmable logic
circuit usage and debugging should be
executed and defended.
Exam on relevant subjects covered in lectures.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 3.0 2.0 0.0 1.0 *
RTU Course "Discrete Mathematics"
12021 Inženiermatemātikas katedra
General data
Code DIM204
Course title Discrete Mathematics
Course status in the programme Compulsory/Courses of Limited Choice
177
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Volodko Inta
Academic staff Volodko Inta
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Sets, mappings, relations. Combinatorics. Boolean algebra; discrete circuits, automata.
Goals and objectives of the course in terms of
competences and skills
Deliver basic discrete mathematical concepts that are necessary to understand data handling
processes and algorithms. Develop students’ logical thinking and skills to analyze basic aspects of
special subjects with the objective to analyze more complicated problems.
Structure and tasks of independent studies Three homework assignments are given during the course. The topics of these assignments are: sets
theory, combinatorics, Boolean algebra. Students can replace homework assignments by 8 tests,
available on RTU Internet portal ORTUS. The grades for homework assignments are taken into
account for the calculation of the final grade for the course.
Recommended literature 1. I. Strazdiņš. Diskrētā matemātika. Rīga, Zvaigzne ABC, 2001, 148 lpp.
2. J. Cīrulis. Matemātiskā loģika un kopu teorija. Rīga, Zvaigzne ABC, 2007, 278 lpp.
3. I. Volodko. Tipveida uzdevumu krājums diskrētajā matemātikā. Rīga, RTU, 2004, 77 lpp.
4. I. Volodko. Diskrētā matemātika uzdevumos un piemēros. Rīga, RTU, 2004, 126 lpp.
5. S.B. Maurer, A. Ralston. Discrete algorithmic mathematics. Peters: Natick, Ma., 1990, 1998.
6. Кузнецов О.П., Адельсон-Вельский. Дискретная математика для инженера. Москва,
Энергоавтоиздат, 1988.
7. Г. И. Москинова. Дискретная математика для менеджера. Москва, Логос, 2004, 238 lpp.
Course prerequisites Mathematics course that is acquired in secondary school.
Courses acquired before
Course outline
Theme Hours
Set theory: Operations on sets. Mappings, types of mappings. Relations, types of relations. 12
Combinatorics: Permutations and combinations. Mathematical induction. Newton's binomial formula. 4
Mathematical logic: Expressions, operations on them. Normal form of Boolean functions. Polynomial of Boolean functions. 12
Discrete circuits, automata. 1
Predicates and quantifiers. The concept of the syntax and semantics. 3
Learning outcomes and assessment
Learning outcomes Assessment methods
After successful completion of the course students will be able to perform operations on sets. They
can determine the form of mappings and relations; can perform operatins on relations of sets.
Evaluation of students’ work is based on the
results of homework assignments, tests and the
final exam.
Can calculate the number of permutations and combinations; to prove a mathematical statement by
mathematical induction method ; expand a binomial by Newton's binomial formula.
Students’ work is tested using homework
assignment and problem on the final exam.
Can construct the truth table for a Boolean function; find formal forms and polynomial of Boolean
functions.
Students’ knowledge and abilities are assessed
using homework assignments, tests and final
exam.
Can plot the Boolean function geometricaly and minimize it; determine whether the system of a
Boolean function is full.
Test, homework assignment and several
problems on the final exam are used to assess
students’ knowledge on these topics.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Discrete Structures of Computer Science"
178
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP202
Course title Discrete Structures of Computer Science
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Academic staff Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract During studies students acquire the practical applications of discrete mathematics concepts, graph
algorithms and mathematical foundations of data base. Students acquire the properties of binary
relations by detailed examination of equivalence and ordering. Students acquire key elements of
graph theory, ways of graph representations. Theoretical knowledge has to be used by practical
calculations with shortest path algorithm; algorithm for minimal spanning tree and algorithm for
maximum flow problem. The course also observes basic concepts of relational database, operations
of relational algebra and basics elements of Structured Query Language (SQL).
While studying the subject students have to work out course work; they have to write program that
solves the defined task by using algorithms and concepts given in lectures.
Goals and objectives of the course in terms of
competences and skills
The goal of the course is to get skills of practical applications of such concepts of discrete
mathematics as relations, mappings and ordering so that at the end of the course students will be
able to analyse properties of relations and to create mappings with various properties. After the
course a student has to understand concepts of graph theory, know graph representations and has to
be able to apply the following graph algorithms: Dijkstra’s algorithm, Prim’s algorithm and Ford-
Fulkerson algorithm.
Students have to understand basic concepts of relational database, have to be able to implement
relational operations with data base tables and to form query for the relational database.
Structure and tasks of independent studies While studying the subject students have to work out course work (CW). The CW includes five
tests and 2 practical works.
Recommended literature Pamatliteratūra
- Rosen K.H. Discrete Mathematics and its Applications, McGraw-Hill, Inc .1991.
Grāmata satur visu dotajā priekšmetā vajadzīgo mācību materiālu. Tajā īpaša vērība ir veltīta
diskrētās matemātikas praktiskiem lietojumiem.
- Strazdiņš I. Diskrētās matemātikas pamati, Zvaigzne, Rīga, 1980.
Grāmata aptver plašu diskrētās matemātikas jautājumu loku, kas aprakstīts no teorētiskā redzes
viedokļa. Grāmata prasa samērā labu matemātisko sagatavotību, tādēļ bakalauriem varētu būt grūti
uztverama.
Ieteicamā literatūra
- Dambītis J. Modernā grafu teorija, Datorzinību centrs, 2002.
Grāmatā aprakstīti grafu teorijas pamati.
- McHugh J.A. Algorithmic Graph Theory, 1990.
Grāmatā grafu teorija apskatīta no algoritmiskā redzes viedokļa. Tā satur visus svarīgākos grafu
algoritmus.
- J. Grundspeņķis. Grafu teorijas pamati, Rīgas Politehniskais institūts, Rīga, 1976.
Mācību līdzeklī apskatīti grafu teorijas pamatjēdzieni, grafa raksturīgie lielumi, speciāli grafu veidi
un grafu un matricu savstarpējais sakars.
- Кристофидес Н. Теория графов. Алгоритмический подход., Москва, Мир, 1978.
Grāmatā ir visu šajā lekciju kursā apskatīto grafu algoritmi un to realizācijas piemēri.
Course prerequisites Fundamental concepts of set theory: set, subset, set operations (union, intersection, difference).
Courses acquired before DIM204 Discrete Mathematics
179
Course outline
Theme Hours
Relations and their types. Properties of relations. Special types of relations. 6
Comparing elements in ordered sets. Lexicographic ordering. 2
Relations and graphs. Types of graphs 2
Graph representations (static and dynamic representations). 4
Mappings, their representation and types. 4
Path searching in graphs (backtrack search). 2
The shortest path problem. Dijkstra’s algorithm. Floyd’s algorithm. 4
Trees and their properties. A spanning tree of graph. Prim’s algorithm and Kruskal’s algorithm. Decision tree. 6
Tree traversal algorithms. Universal address system. Prefix, postfix, and infix notation. Prefix codes. 4
Networks. Topological sorting. Transportation networks. The flow conservation equation. Ford-Fulkerson algorithm. 4
Relations and data bases. Operations of relation algebra. Procedure of table computation. 6
Formal languages of relation algebra and relation calculus. Structured Query Language. Defining data and data management 4
Learning outcomes and assessment
Learning outcomes Assessment methods
To be able to analyse properties of relations and to use special types of relations for description of
real problems.
Passed test “Equivalence” and correctly
answered questions of the 1st section of the
theoretical part of examination.
To be able to show graph representations. Passed practical work “Graph
representations”and correctly answered
questions of the 3rd section of the theoretical
part of examination.
To be able to apply graph algorithms. Carried out 3 home works. Correctly answered
questions of the 3rd section of the theoretical
part of examination and solved the 2nd task of
the practical part of examination.
To be able to determine different types of mapping and to create mappings with various properties. Accomplished practical work “Mapping” and
correctly answered questions of the 2nd section
of the theoretical part of examination.
To be able to apply tree traversal algorithms to obtain prefix, postfix notation and to calculate its
value.
Accomplished practical work “Trees” and
correctly answered questions of the 4th section
of the theoretical part of examination.
To be able to realize operations of relational algebra and to be able to form query for relational
database.
Accomplished practical work “Databases and
relations” and correctly answered questions of
the 5th section of the theoretical part of
examination and solved the 1st task of the
practical part of exam
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 2.0 1.0 0.0 *
RTU Course "Electrical Drives (Study Project)"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEI213
Course title Electrical Drives (Study Project)
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Professional
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
180
Academic staff Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract DC electric motor characteristics and calculation of the electric drive for mechanism including its
drive operating mode calculations, principal circuitry creation, parameter estimation;
AC electric drive characteristic calculation, the electric drive creation for mechanism of the project,
including creation of the work estimates, the principal circuitry and parametric calculations.
Goals and objectives of the course in terms of
competences and skills
The aim is to teach students to perform specific calculations of electric drive and its establishment,
including the principal electric scheme and the creation of technical documentation.
Structure and tasks of independent studies Students at home must calculate three characteristic sets for diferent electrical motors.
Must be done computer modeling in Virtuallab of given drives.
Establish a study project on a concrete mechanism electrical drive realization.
Recommended literature Ribickis L., Valeinis J. Elektriskā piedziņa mehatronikas sistēmās. - Rīga:RTU, 2008. - 286 lpp.
Course prerequisites Knowledge of electrical machines, Power Electronics and Electrical Drive.
Courses acquired before EEM305 Electrical Machines AND EEP344 Power Electronics AND EEI212 Fundamentals of
Electrical Drives
Course outline
Theme Hours
DC Independent excitation motor electromechanical characteristic calculation in starting and braking modes 4
DC series excitation motor electromechanical characteristic calculation in starting and braking modes 4
AC induction motor electromechanical characteristic calculation in starting and braking modes 4
Calculation of electromagnetic transition process for electrical drive 4
Calculation of motion process of electrical drive 4
The project assignment - metal-planing machine drive development 2
Description of metal-planing machine operation process and motor operating mode 2
Metal-planing machine electrical motor selection and load characteristic calculation 2
The drive power converter and its control system 2
Description of the principal electric scheme and creation of technical documentation and its presentation 2
Consultation on the project 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Being able to calculate the electric characteristics of the various technical parameters of the electric
drive
Defense of the three homeworks
Being able to calculate the wire-led mechanism for the motion processes of the technological process Advocacy of calculate mechanism motion
chart
Be able to set up principal electric scheme and make the parameter estimates for electrical drive of
concrete mechanism
Successful defense of parameter calculation of
principial scheme
Being able to create electrical technical documentation and to defend it for specific mechanism Successful defense of study project
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 0.0 2.0 0.0 *
RTU Course "Electrical Engineering and Electronics"
11101 Elektrotehnikas un elektronikas katedra
General data
Code EEE226
Course title Electrical Engineering and Electronics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
181
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Nadežņikovs Ņikita
Academic staff Nadežņikovs Ņikita
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Development of electric circuits and understanding of circuits diagrams.
Elements of electric circuits, differential equations. Three-phase alternating current systems.
Transformers. DC and AC electric machines, principles of their operation. Semiconductor devices.
Rectifiers. Elements of digital technique. Microprocessors.
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1. Nadežņikovs Ņ. Elektrotehnika un elektronika. Prezentācijas materiāli. -R.: RTU, http://
omega.rtu.lv/etp, 2008.
2. Priednieks Ē. Elektriskās ķēdes un to vienādojumi. - R.: RTU Izdevniecība, 2002.
3. Priednieks Ē. Elektriskās mašīnas elektrotehnikas kursā. - R.: RTU Izdevniecība, 1992.
4. Zītars U. Elektronikas pamati. - R.: RTU Izdevniecība, 2002.
5. Zolbergs J. Vispārīgā elektrotehnika. - R.: Zvaigzne, 1974.
6. Elektrotehnikas un elektronikas laboratorijas darbi.- R.: RTU Izdevniecība, 1999.
7. Grafoanalītisko darbu uzdevumi elektrotehnikā. - R.: RTU izdevniecība, 1990.
Course prerequisites
Courses acquired before
Course outline
Theme Hours
4
2
4
4
4
2
4
8
Learning outcomes and assessment
Learning outcomes Assessment methods
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 0.0 1.0 *
RTU Course "Traction Drives of Electrical Transport"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEP346
182
Course title Traction Drives of Electrical Transport
Course status in the programme Courses of Free Choice
Course level Undergraduate Studies
Course type Professional
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Mechanics of the electrical traction drives. Types of electrical motors applied and its
characteristics. Speed regulation of the DC electrical motors. Pulse regulation. Braking processes.
Problems of the magnetic
field weakening. Formation of the transient processes. Induction mode traction motors,
characteristics, and specifics.Regulation of speed, frequency converters and inverters. Braking
regimes. Formation of the transient processes. Special action regimes of traction drives, skidding
regimes. Automation of electrical drives, elements of the systems.
Goals and objectives of the course in terms of
competences and skills
Main target is to acquaint students with the general knowledges of application of electrical drives,
electrical machines, power electronics in electrical transport national economy systems. Student
must be able apply predominatory knowledges for simplified calculation of motion,
electromechanical and energetic characteristics of electrical transport.
Structure and tasks of independent studies Is anticipated elaboration of the 3 individualized home works - calculation of characteristics of DC
series excitation electrical motor; calculation of energetic characteristics of AC network DC drive
with controlled rectifiers; calculation of motion process with AC induction motor electrical drive.
For approval of results of calculations must be applied computer simulation programm
Virtuallab2.0. Elaboration of home works is term for succesful passing of test lesson.
Recommended literature Ribickis L., Raņķis I. Electrical Drives. Static characteristics and methods of speed control . Riga:
RTU. 1996. 107.p.
Ribickis L., Valeinis J. Elektriskā piedziņa mehatronikas sistēmās. - Rīga:RTU, 2008. - 286 lpp.
Transporta elektriskās mašīnas/ J.Dirba, K.Ketners, N.Levins, V.Pugačevs. Rīga: Jumava,2002, 344
lpp.
Course prerequisites Knowledges in electrical drives, electrical machines, power electronics
Courses acquired before EEI212 Fundamentals of Electrical Drives AND EEP344 Power Electronics AND EEM305
Electrical Machines
Course outline
Theme Hours
Types of an electrical transport and its drives 2
Traction supply sources and its connections with electrical motors 4
DC contact network DC electrical motors modern drives 4
DC pulse regulators and its characteristics in the DC-DC electrical drives 4
Calculation of motion and energetic processes in the pulse regulation systems 4
Realization of DC drives from AC contact network 4
Application of induction motors in electrical transport 2
Aspects of speed regulation in induction motors electrical drives 4
Elaboration of vector and direct torque control systems for AC drives of an electrical transport 4
Learning outcomes and assessment
Learning outcomes Assessment methods
To be able classify electrical transport traction drives in respect to properties of power supply and
electrical motors
Succesful passing of test negotations
To be able explain a motion regimes, apply equations for calculation of motion processes as also
energetic connections
Qualitative elaboration of the anticipated 3
home works for admittance of the test lesson
and succesful passing of test negotations
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
183
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Power Electronics"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEL301
Course title Power Electronics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Raņķis Ivars
Academic staff Raņķis Ivars
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Powerful semiconductor elements and its application. Rectifiers, control, operation regimes, the AC
regulation, DC pulse regulation, inverters, control, modulation.
Goals and objectives of the course in terms of
competences and skills
Show to students possibilities of electrical parameters convertation using semiconductor diodes,
thyristors, transistors elements, teatch them methods of simplified calculations with aim to provide
calculations and evalautions in converters circuits
Structure and tasks of independent studies At home must be done 10 individual calculations tasks on converters and evaluation of results in
Virtuallab computer space
Recommended literature I.Raņķis, I. Buņina Energoelektronika, Rīga ,RTU, 2007., 186 lpp.
Course prerequisites Theorethical bases of electrical engineering
Courses acquired before EEE223 Fundamentals of Electrical Engineering Theory
Course outline
Theme Hours
Classification of semiconductor converters, Semiconductor diodes, its characteristicss 2
Characteristics of converters' currents and voltages, schemes of uncontrolled rectifiers 2
Principial parameters of schemes of uncontrolled rectifiers 2
Calculation of transformers of uncontrolled rectifiers 2
Analyzis of current shape for uncontrolled rectifiers, commutation processes in uncontrolled rectifiers 2
Thyristor, operation principles, characteristics 2
Operation principle of controlled rectifier, regulation characteristics of controlled rectifier 2
Invertor operation case in controlled rectifier 2
Power factor of controlled rectifier 2
Transistors and its characteristics 2
Pulse Regulators of the DC voltage, filters of pulse regulators 2
Reversible pulse regulator 2
Single phase voltage inverters 2
Three phase voltage inverters 2
Sinus modulation of voltage inverters 2
Current source inverters 2
Learning outcomes and assessment
Learning outcomes Assessment methods
To be able draw and carry up the basic calculations in circuits of uncontrolled rectifiers Succesfully worked out two home calculations
tasks on uncontrolled rectifiers
To be able explaine comutation processes in uncontrolled rectifiers Succesfully worked out home calculation task
on comutation processes in uncontrolled
rectifiers
To be able explaine operation principle of controlled rectifier and its regulations characteristics Succesfully worked out 2 home calculation
184
tasks on controlled rectifiers
To be able explaine load characteristics of controlled rectifiers and its invertation regime Succesfully worked out home calculation task
on DC transmission
To be able explaine operation of DC pulse regulators and carry out its calculation Succesfully worked out two home calculation
tasks on DC pulse regulators
To be able explaine operation principle of voltage and current inverters and carry out its calculation Succesfully worked out two home calculation
tasks on inverters
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Physics"
14501 Kondensētās vielas inženierfizikas profesora gr.
General data
Code MFZ101
Course title Physics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Physics
Responsible instructor Medvids Artūrs
Academic staff Medvids Artūrs
Volume of the course: parts and credits points 2 parts, 6.0 Credit Points, 9.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Physics is closely related to the natural sciences, leads to the new multidisciplinary research
directions - biophysics, material science, physical chemistry. Physics is also the basis for
engineering. Directly from the development of physics the technical level of production is
dependent on. All this points to the fact that the physics course at the technical universities have a
special meaning. Physics course for engineers is a fundamental theoretical training base, without
which the further success of the engineer is not possible. Course of study based on the School of
Mathematics, provides the theoretical basic knowledge of mechanics, molecular physics and
thermodynamics, electromagnetism, wave and quantum optics, quantum mechanics, solid state
physics, atomic physics, nuclear, and particle physics. In the frame of the course practical skills of
solving methods as well as experimental work skills and the experimental results of mathematical
processing basics are acquired.
The course consists of lectures with practical examples and laboratory work.
Goals and objectives of the course in terms of
competences and skills
To master the theoretical knowledge and practical skills in physics at university, using elements of
higher mathematics.
Develop physical and technical perception and logical thinking.
Orient the classical physics and the latest breakthroughs in physics and their application of various
technical problems, including high-value technology.
Able to demonstrate the theoretical physics question the commitment to the practice, as well as
being able to solve relatively Standard practical problems in physics.
Able to carry out physics experiments, mathematical processing of obtained experimental results, to
proceed the analysis of the obtained results and to make conclusions.
Structure and tasks of independent studies Independent study of textbooks and solution of the practical exercises. The preparation of the
theoretical introduction for each laboratory work, the mathematical processing of the laboratory
work and concluding reports preparation.
Recommended literature 1. Fizika. Red. A.Valters. Rīga: Zvaigzne, 1992. 643 lpp.
2. Apinis, A. Fizika. Rīga: Zvaigzne, 1972. 706 lpp.
3. Grabovskis, R. Fizika. Rīga: Zvaigzne, 1983. 645 lpp.
185
4. Hugh D. Young, Roger A. Freedman. University Physics. USA, QC21.2Y67, 2000, 1513 p.
5. Halliday, D., Resnick, R., Walker, J. Fundamental of physics. 8th ed., USA, QC21.3H35, 2008,
1334 p.
6. Volkenšteine, V. Uzdevumu krājums fizikā. Rīga: Zvaigzne, 1968. 353 lpp.
7. Fizikas uzdevumu risināšana. Red. A.Valters. Rīga: Zvaigzne, 1982. 175 lpp.
8. Novērojumu un mērījumu rezultātu matemātiskās apstrādes pamati: metodiski norādījumi
laboratorijas darbu veikšanai. Sast. A.Valters, N. Zagorska. Rīga: RTU, 1991. 25 lpp.
9. Uzdevumu krājums vispārīgajā fizikā. M. Jansone, A. Kalnača, J. Blūms u.c. Rīga: RTU, 2000,
247 lpp.
10. Fizikas praktikums tehniskās universitātes studentiem. I. Klincāre, M. Jansone, A. Ķiploka u.c.
Rīga: RTU, 2001,189 lpp.
11. Fizikas praktikums tehniskās universitātes studentiem. M. Jansone, I. Klincāre, A. Ķiploka u.c.
Rīga: RTU, 2003. 172 lpp.
12.Uzdevumu krājums vispārīgajā fizikā. Red. A. Ozols. Rīga: RTU, 2006. 273 lpp.
Course prerequisites Physics, chemistry and mathematics in high school level course, Elements of higher mathematics.
Courses acquired before
Course outline
Theme Hours
Introduction to the material point and an absolutely rigid body kinematics. 2
Dynamics of material point. 2
Rigid body dynamics. 2
Mechanical oscillations. 2
Mechanical waves. 2
Thermodynamic systems. Ideal gas. The physical basics of molecular kinetic theory. 3
Transfer processes. 1
Basics of thermodynamics. 2
Electric field in a vacuum. 2
Electric field in dielectrics. Conductors in electric field. 2
Direct current. Magnetic field in a vacuum. 2
Magnetic fields of currents. 2
Magnetic field in the substance. 2
Magnetics. 1
Electromagnetic induction. 2
Maxwell’s equations. 2
Electromagnetic oscillations. 3
Electromagnetic waves. 1
Dispersion of the light. 1
Interference of the light. 3
Diffraction of the light. 3
Polarisation of the light. 2
Thermal radiation. 2
External photoelectric effect. 2
Quantum mechanical features. 3
Atomic structure models. 1
Light emission and absorption of atoms. 2
Energy bands formation in crystals. 2
Conductivity of pure and doped semiconductors. 2
The atomic nucleus structure and composition. Radioactivity types. 2
Nuclei and Conservation Laws. Particles. 2
Test (theory). 2
Introduction class for laboratories. 2
The basics of mathematical processing of measurement results. 2
Laboratories. 16
The adoption of Laboratory work reports. 8
Test (practical problems). 4
186
Learning outcomes and assessment
Learning outcomes Assessment methods
Able to navigate the classical physics topics and issues, as well as the latest achievements of physics. Test types: tests, home works, written exam.
Criteria: able to freely navigate different types
of physical regularities.
Able to independently solve the problems of classical physics-standard tasks, the use of higher
mathematics.
Test types: tests, home works, written exam.
Criteria: Able to take on specific numerical
estimates.
Able to independently carry out physics experiments, and to do the mathematical treatment of the
obtained results
Test Types: Test lab work. Criteria: Ability to
process and quantitatively analyze the
experimental results
Able to discern the laws of physics applications in different engineering applications and their
implementation in nature and everyday life.
Test types: tests, home works, written exam.
Criteria: Able to explain the physics related to
natural phenomena and engineering principles
for the physical operation of devices.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 3.0 2.0 0.0 1.0 *
2. * * 3.0 2.0 0.0 1.0 *
RTU Course "The French Language"
01A02 Tehniskās tulkošanas katedra
General data
Code HVD119
Course title The French Language
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Languages
Responsible instructor Iļjinska Larisa
Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU, FR
Possibility of distance learning Planned
Abstract To improve the competitiveness of graduate engineers in the international labor market it is
necessary to provide the students with opportunity to use the language often and more effectively in
all those aspects within the selected professional field. All the texts for reading comprehension,
writing and speaking topics are selected according to the study program taking into account the
average level of language skills. The selected lexical and syntactic constructions typical of the
technical language and language for specific purposes (LSP) are taught independently on the study
program.
Goals and objectives of the course in terms of
competences and skills
The aims of the program are to develop students' speaking, writing, reading and listening skills; to
improve students' knowledge of French for special purposes and business correspondence skills; to
increase the stock of professional terminology, and to develop students' communicative
competences.
Structure and tasks of independent studies 3 written tasks, 2 home reading tasks a semester
Recommended literature 1.G. Capelle, R. Menand Taxi 1, Hachette 2003
2.R. Menand Taxi 2, Hachette 2003
3.A. Berthet, C. Hugot, B. Sampsonis, M. Waendendries Alter Ego, Hachette 2006
4.A. Monnerie Bienvenue en France, Didier 1991
5.A. Ivanchenko Parlons français, Kapo 2005
6.A. Vicher Grammaire progressive du français pour les adolescents (niveau débutant), Cle
International 2001
187
7.I. Popova, J. Kazakova Cours de la grammaire française, Nestor Academic Publishers 1999
8.G. Mauger Cours de langue et de civilization françaises, Librairie Hachette 1995
Course prerequisites Secondary school level after centralised exam
Courses acquired before
Course outline
Theme Hours
Introduction. RTU. Studies at the university. Tertiary education in Latvia and abroad 2
Prominent scholars and researchers. Development of science throughout centuries 2
Latvia: economic, industrial and cultural aspects 2
Recent information technologies and human resources 2
Studies and practical application. Competition, CV, application letter, work interview 2
Home reading. Presentation, translation, terminology 6
Text in the special field. Discussion of the text. Terminology and professional language 8
Tests: language, communicative and socio-cultural competences 8
Learning outcomes and assessment
Learning outcomes Assessment methods
Tests: language, communicative and socio-cultural competences During the classes the students correctly use
terms in speaking and writing activities.
Students should learn 120 new terms a
semester.
The students are able to recognize and write essays of different types, and compile technical
documentation.
The students successfully perform all the tasks
connected with writing skills development
having completed three written works per
academic semester.
The students are able to participate in general and profession-oriented discussions, dialogues,
interviews and other types of communicative situations.
Students take part in the speaking activities,
presenting their thoughts in a clear
comprehensible form, adequately reacting and
giving answers, logically logically formulating
conclusions.
The students are able to recognize, analyze, evaluate and summarize scientific technical information
from various scientific and popular scientific resources.
The students master two scientific technical
texts from international sources, prepare
presentation and commentaries, summarize
them, deliver the presentation, take part in
discussion
The students are able to successfully pass a final exam testing listening, reading, writing and speaking
skills.
The assessment is carried out according to 10-
grade scale. Language proficiency level should
correspond to the level B2 according to CEFR.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 1.0 0.0 1.0 0.0 *
2. * 1.0 0.0 1.0 0.0 *
RTU Course "Random Processes"
12022 Varbūtību teorijas un mat. statistikas katedra
General data
Code DMS214
Course title Random Processes
Course status in the programme Compulsory/Courses of Limited Choice
188
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Šadurskis Kārlis
Academic staff Šadurskis Kārlis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Definition and application of random process. Multivariate distributions. Correlation theory.
Classification of processes. Stationary processes. Markov chain with discrete and continuous time.
Markov processes. Gussian processes. Imiitation of random processes.
Goals and objectives of the course in terms of
competences and skills
Objective of the course is to acquaint students with basics of random processes’ theory and its
mathematical apparatus, assiduity to Markov chains allow to understand the regularities of the
random dynamic phenomena.
Structure and tasks of independent studies The course provides the performance and defending of two individual independent homeworks
Recommended literature 1.V.Carkova, D.Kalniņa. Gadījuma procesi., Izd.LU, Rīga,1981.
2. Sh.Ross. Introduction to Probability Models. Fifth Eddition, Academic Press, NY,1995.
3.K.Šadurskis, V.Carkova. Markova procesi. Rīga, 2004g.
4.V.E. Gmurman. Varbūtību teorija un matemātiskā statistika. M; Visšaja škola,1977.
Course prerequisites
Courses acquired before
Course outline
Theme Hours
Definition of the random process. Multivariate distributions. Correlation function. Random processes in the wide sense 2
Practical. Correlation theory elements. 2
Markov processes. Markov property. Transition probability functions. 2
Practical. Transition probability functions. 2
Classification of Markov processes. Discrete time Markov chains. Chapman - Kolmogorov equations. 2
Practical. Chapman - Kolmogorov equations. 2
Discrete time Markov chains. Classification of states of Markov chain. Recurrent and transient states. 2
Practical. Classification of states of Markov chain. 2
Discrete time Markov chains. Stationary distribution. 2
Practical. Discrete time Markov chains. Stationary distribution. 2
Continuous time Markov chains. Kolmogorov differential systems for transition and marginal probabilities.. 2
Practical. Kolmogorov differential systems for transition and marginal probabilities.. 2
Continuous time Markov chains. Stationary distribution. 2
Practical. Continuous time Markov chains. Stationary distribution. 2
Stationary distribution of queuing systems. Erlang formulas. 2
Practical. Erlang formulas. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Discrete time Markov chains. Ability to construct transition probability matrix and apply it for
calculation of characteristics of the chain, to find stationary distribution both theoretically and with
immitation model.
Problems included into homework 1
Continuous time Markov chains. Ability to construct transition density matrix and apply it for
calculation of characteristics of the chain, to find stationary distribution both theoretically and with
immitation model.
Problems included into homework 2
Random processes' correlation theory. Markov processes. The major know-how for analysis of
Markov chains.
Problems included into exam
Study subject structure
Part Semester CP Hours per Week Tests
189
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Introduction to Electrical Drives"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEP351
Course title Introduction to Electrical Drives
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 150
Maximum number of students per semester 300
Abstract Notion of electric drive, history, calssification. Mechanical characteristics of operation machines
and motors. Electro-mechanical characteristics of DC and AC motors. Influence of parameters.
Speed control in electric drive. Transient processes, calculation power indices, selection of motors.
Goals and objectives of the course in terms of
competences and skills
The aim of the course is to study mechanics of electric drive systems, influence of parameters on
the characteristics of electric drive, methods of speed control, methods of transient processes
calculations, calculations of power indices of the drives and aproach to the selection of motors for
different regimes of electric drive operation. The students are required to describe and analyse
systems of electric drives and to calculate and evaluate the influence of transient processes on the
operation of electric drive.
Structure and tasks of independent studies Independent work for the mastering of lectures material. Preparation for test works. Before each
practical work the students are expected to prepare its theoretical basics overview; after they
complete the final review and defend it.
Recommended literature 1. L. Ribickis, J. Valeinis. Elektriskā piedziņa mehatronikas sistēmās. RTU izdevniecība, 2008.
286 lpp.
2. I. Boldea, S. A. Nasar. Electric Drives. CRC Press, 1999. 411 lpp.
3. N. Mohan. Electric Drives an Integrative Approach. MNPERE Minneapolis, 2001. 424 lpp.
4. Н. Ф. Ильинский. Основы электропривода. МЭИ, 2007. 221 с.
Course prerequisites Theoretical basics of electrical engineering, Mathematics, Electric machines.
Courses acquired before EEE209 Electrical Engineering and Electronics (Part 1) AND DMF101 Mathematics AND
EEM426 Special Purposes Electrical Machines
Course outline
Theme Hours
Introduction and history of electrical drive 1
Mechanics of elelctrical drive 1
Mechanical characteristics and parameters of the DC drives 1
Mechanical characteristics and parameters AC drives 1
Mechanical characteristics and parameter influence synchronous of special-type drives 1
Methods of speed adjusting for DC drives 1
Methods of speed adjusting for Three-phase AC drives 1
Methods of speed adjusting for special-type drives 1
Calculation of electro-mechanical transient processes in DC drives 1
Calculation of electro-mechanical transient processes in AC drives 1
Dynamical characteristics and parameter calculation for Robot drives 1
Power indices of electrical drives for robot systems 1
Calculation of energy losses in electrical drive systems 1
Operation regimes of electrical drives and selection of power 1
190
Control systems of electrical drives 2
1. Practical work. Machanical characteristics of DC motor with independent excitation. 4
2. Practical work. Machanical characteristics of induction motors. 4
3. Practical work. Speed control of asynchronous drive by means of frequency converters. 4
4. Practical work. Speed control of DC motor drive by means of controlled rectifier. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
To be able to describe electrical drive types, parametric influence on mechanical and
electromechanical characteristics.
Test in which student must prove his ability to
describe different modes of electrical drives
and its schemes parameters influence on
characteristics of drives. Passed an exam.
To be able calculate mechanical and electromechanical characteristics of DC and AC electrical drives Test in which student must prove his ability to
calculate mechanical and electromechanical
characteristics of DC and AC electrical drives.
Passed an exam.
To be able calculate transient processes in DC and AC electrical drives Test in which student must prove his ability to
calculate transient processes in DC and AC
electrical drives. Passed an exam.
To be able calculate power losses in DC and AC electrical drives Test in which student must prove his ability to
calculate power losses in DC and AC electrical
drives. Passed an exam.
To be able choose electrical motors for different operation cases of electrical drives in different
technological processes
Test in which student must prove his ability to
choose electrical motors for different operation
cases of electrical drives in different
technological processes. Passed an exam.
To be able describe typical speed control methods of electrical drives. Test in which student must prove ability to
explain speed control method principles of
electrical drives. Passed an exam.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * * 2.0 1.0 1.0 0.0 *
RTU Course "Introduction to Study Field"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP105
Course title Introduction to Study Field
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Academic staff Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 1.0 Credit Points, 1.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract During first year studies at the university former pupils meet a rather different style of teaching and
learning, do not know each other and have unclear idea about their future profession. All mentioned
facts influence their motivation to continue studies in future. The objective of the course is to
stimulate students’ early adoption to university requirements and their motivation to study seriously
and systematically meeting the stated requirements. This is achieved by making them acquainted
with the specificity of university studies (faculty’s structure, requirements of the study process,
191
pedagogical and scientific activities) during the first 3 lectures, as well as presenting the essence
and perspectives of the chosen profession in the labour market on the basis of a business game
during remaining lectures. In the context of the business game students are divided into several
groups and each group, guided by its supervisor, develops a specific system by going through all
stages in a system development process and identifying activities, working specialists and preparing
documents at each stage. At the end of the course each group demonstrates achieved results and
acquires feedback from the supervisor.
Goals and objectives of the course in terms of
competences and skills
The goal of the course is to acquaint students with the faculty’s structure, to provide general
knowledge about the implementation and basic requirements of the study process, to present
information about pedagogical and scientific activities within the faculty, as well as to present the
essence and perspectives of the chosen profession in the labour market.
Structure and tasks of independent studies During the course students must work out a report on a chosen topic. The topic is chosen by using
an electronic registration system. Additionally in the report students must represent a material
acquired during first 3 lectures. Materials on a system development process are provided for
students for their self-study before lectures. Requirements for the report and learning materials are
located in the e-study environment. The report must be submitted during the last week before the
examination session.
Recommended literature Elektroniskie materiāli e-studiju vidē
Course prerequisites Not necessary
Courses acquired before
Course outline
Theme Hours
Mission and structure, pedagogical and scientific activities of Faculty of Computer Science and Information Technology 2
Study content, study work and activities outside studies 2
Organizations of the study process, students’ rights and responsibilities 2
Beginning of the system development project 2
Stage of requirements analysis in a system development process 2
Stages of design and implementation in a system development process 2
Stages of testing and maintenance in a system development process 2
Finishing the system development project 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know the mission, objectives, pedagogical and scientific activities of the Faculty, as
well as a content and organization of studies
Report.
Students will know stages of a system development process and project preparation activities Practical work .
Students will know the essence of requirements analysis stage in a system development process and
will be able to develop simplified interview protocols and a requirements specification
Practical work.
Students will know the essence of design and implementation stages in a system development process
and will be able to develop a simplified design specification, by drawing system’s forms
Practical work.
Students will know the essence of testing and maintenance stages in a system development process
and will be able to develop a simplified report on system’s testing results
Practical work.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 1.0 0.5 0.5 0.0 *
RTU Course "Industrial robot control systems"
12215 Datorvadības sistēmu profesora grupa
General data
Code DDI701
Course title Industrial robot control systems
Course status in the programme Compulsory/Courses of Limited Choice
192
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Markovičs Zigurds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract In case of subject, basic knowledge about robotics sphere are given. At the beginning of course
student receives information about different robot control mechanisms (technical realization,
manipulator kinematics, direct and inverted kinematic task) and principles (discreet, adaptive and
intellectual control). In further, technical implementation and adaptive control mechanism
principles are discussed. At the end of the course students are informed about existing adaptive
robotic system.
Goals and objectives of the course in terms of
competences and skills
The main aim is to introduce student with different robot control systems. Competence of student is
described as self ability to detect and describe existing robot control system, give a control
algorithm and structure scheme, and possibility to collect all knowledge to construct own robotic
system.
Structure and tasks of independent studies Additional literature acquisition and individual solution of kinematical task.
Recommended literature Matricu teorijas pielietojumi robottehnikā. RPI, Rīga, 1988.
Robottehniskās sistēmas un tehnoloģiskie kompleksi. Laboratorijas darbu apraksti. RPI, Rīga, 1987.
Adaptive Control of Robot Manipulators, An-Chyan Huang and Ming-Chih Chien. ISBN: 978-981-
4307-41-3, 226. lpp, 2010.
Course prerequisites
Courses acquired before DAM103 Mathematics
Course outline
Theme Hours
1. History of robotics, structure schemes, industrial robot structure and elements, robot generations and comparison; 1
2. Industrial robot (IR) discreet cyclic control; 1
3. IR discreet positional control; 1
4. IR contour control; 1
5. Kinematics of manipulator; 1
6. Manipulator coordinate system; 1
7. Detection of original position; 1
8. Manipulator movement, direct task; 1
9. Inverted kinematical task (simplified); 1
10. Inverted kinematical task (full version); 1
11. Classification of external sensors, position sensors, pressure and power transducer; 1
12. Direction, anti glide and location transducers; 1
13. Adaptive IR principles, adaptation for separate position; 1
14. External adaptation for whole manipulator; 1
15. Adaptive assembling robot technical complex for non oriented object seizing; 1
16. Welding robot adaptive control 1
Learning outcomes and assessment
Learning outcomes Assessment methods
Student has a basic knowledge about robot control principles and define control system types and
usage
Appropriate theoretical knowledge in exam.
Positive evaluation in additional literature
review.
Can choose industrial robot control algorithm and structure elements;
Appropriate theoretical knowledge in exam.
Positive evaluation in additional literature
review.
Have ability to create robot control platform Appropriate theoretical knowledge in exam.
193
Positive evaluation in additional literature
review.
Student has knowledge in different robot control systems and can define control system types and
usage
. Have ability to create overall industrial robot system by including work instruments, work objects,
frame of reference and movement structure.
Appropriate theoretical knowledge in exam.
Positive evaluation in additional literature
review.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Logical Foundations of Intelligent Robots"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP723
Course title Logical Foundations of Intelligent Robots
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The direction of artificial intelligence which has the goal to develop intelligent systems that think
rationally is based on first-order logic. Many different intelligent systems are based on first-order
logic, too. The course deals with intelligent robots and intelligent robotic systems that are based on
first-order logic, construction of knowledge base, inference rules, reasoning such as forward and
backward chaining, and resolution, agent design and planning with focus to intelligent robots.
Insight is given on higher-order logics and logics for multiagent systems to which systems
consisting of several robots belong.
Goals and objectives of the course in terms of
competences and skills
The goal of the course is to give knowledge about intelligent robots and intelligent robotic systems
which are based on first-order logic and higher-order logics, and to acquire skills for development
of such components as knowledge base and inference mechanism.
Structure and tasks of independent studies Students must work out a course work in which he/she, using first-order logic, must construct a
knowledge base for an intelligent robot and implement such inference mechanisms as forward and
backward chaining, and resolution in logical and planning agents which are modules of intelligent
robotic system.
Recommended literature 1. Russell S. and Norvig P. Artificial Intelligence. A Modern Approach. Prentice Hall, New Jersey,
2003.
2. Luger G.F. Artificial Intelligence. Structures and Strategies for Complex Problem Solving, 5th
edition. Addison Wesley, Harlow, England, 2005.
3. Brachman R.J., Levesque H.J. Knowledge Representation and Reasoning. Morgan Kaufmann
Publishers, 2004.
4. Read C. Logic, Deductive and Inductive. Nabu Press, 2010.
5. Hurley P.J. A Concise Introduction to Logic. Wadsworth Publishing, 2011.
Course prerequisites Students must know syntax and semantics of propositional and predicate logic.
Courses acquired before DSP202 Discrete Structures of Computer Science
Course outline
Theme Hours
194
First-order logic-based intelligent robots and robotic systems 4
Knowledge representation using first-order logic for intelligent robots and robotic systems 4
Inference rules in first-order logic 4
Reasoning in first-order logic (forward and backward chaining, resolution) 4
Design of agents who realize functionality of intelligent robots using first-order logic 4
Applications of first-order logic in the development of planning agents which are used in robotic systems 4
Higher-order logic and situation calculus 4
Logics for multiagent systems with applications in multi-robot systems 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know first-order logic-based structure of intelligent robotic systems Practical work, questions of the theoretical part
of examination
Students will be able to develop a knowledge base for an intelligent robot using first-order logic Practical work, defence of course work,
questions of the theoretical part of examination
Students will know inference rules and will be able to use reasoning in first-order logic for the
development of intelligent robots
Practical work, defence of course work,
questions of the theoretical part of examination
Students will be able to design agents which implement functionality of intelligent robots using first-
order logic
Practical work, defence of course work,
questions of the theoretical part of examination
Students will be able to use first-order logic in planning for the development of intelligent robots Practical work, defence of course work,
questions of the theoretical part of examination
Students will know basics of higher-order logics and logics for multiagent robotic systems Practical work, questions of the theoretical part
of examination
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Intelligent Electronic Equipment in Robotic Systems"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEI358
Course title Intelligent Electronic Equipment in Robotic Systems
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 100
Maximum number of students per semester 200
Abstract Industrial electronic devices with self-educated and fuzzy logic control equipment on the basis of
standard processors and special microchips. Artificial neural networks in motion control in the
robotic control systems. Generic algorithms and artificial intelligent in the control of robots.
Goals and objectives of the course in terms of
competences and skills
The aim of the subject is to study basics of artificial intelligent in robotic systems applying fuzzy
logic controllers, artificial neural networks and genetic algorithms.
Structure and tasks of independent studies Before each laboratory work the students are expected to prepare report on its theoretical basics.
Recommended literature 1. Intelligent Control Systems using Computational Intelligence Techniques. Edited by A.E.Ruano.
The Institution of Electrical Engineers, 2005. 454 lpp.
2. Thomas Braunl. Embedded Robotics, Mobile Robot Design and Applicarions with Embedded
Systems, Second Edition. Springer, 2006. 458 lpp.
3. Bill Drury. The Control Techniques Drives and Controls Handbook, Second Edition. The
195
Institution of Electrical Engineers, 2009. 724 lpp.
Course prerequisites Electronics, electric drive, computer science.
Courses acquired before EEP475 Electronic Equipment
Course outline
Theme Hours
Introduction into intelligent electronic equipment. Identification of non-linear systems. 2
Modules of fuzzy logic and their design. 2
Fuzzy logic controllers. 2
Artificial neural networks. 2
Identification of control systems of non-linear robots and their control by means of artificial neural networks. 2
Adaptive control of non-linear dynamic systems. 2
Identification of non-linear control systems with local linear neuro-fuzzy modules. 2
Design and calculation of neuro-fuzzy modules. 2
Complex computer intelligence and analytical methods of errors indentification. 2
Identification of mobile robot control system localization with the help of navigating programs. 2
Built-in robotic systems. Traditional control methods. 2
Multitask programming and wireless communication models. 2
Modeling systems of mobile robots. 2
Identification of real time processes. Generic algorithms in the robots control systems. 2
Genetic programming and event-based robots control systems. 2
Artificial intelligent in robots control systems. 2
1. Lab. work. Searching for parking place of an autonomous robot using intelligent control systems. 4
2.Lab.w. Investigation of software of autonomous robot motion route identification. 4
3.Lab.w. Investigation of control systems of a walking robot. 4
4.Lab.w. Investigation of dynamic model of a submarine robot. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
The students understand the essence of fuzzy logic theory and can design fuzzy logic controllers. Assessment with practical realization in the
laboratory. Passed an exam
The students understand the essence of artificial neural networks and can apply control systems of
artificial neural networks robots.
Test. Passed an exam
The students are able to understand control navigation programs of mobile robots and to apply robots
modeling systems.
Test. Passed an exam
The students can develop generic algorithms in robot control systems and realize its programing for
further realization.
Test. Passed an exam
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 3.0 2.0 0.0 1.0 *
RTU Course "The Latvian Language"
01A02 Tehniskās tulkošanas katedra
General data
Code VIL169
Course title The Latvian Language
Course status in the programme Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Languages
Responsible instructor Lauziniece Valentīna
196
Academic staff Lauziniece Valentīna
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The integrated course is aimed at developing the Latvian language skills and competences in
connection with their major, as well as facilitating development of term papers, academic and
professional bachelor papers.
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1.Dombrovska B. Testi latviešu valodā vidusskolēniem, reflektantiem un cittautiešiem. – Rīga:
Pētergailis, 2000.
2. Ceplīte B., Ceplītis L. Latviešu valodas praktiskā gramatika. – Rīga: Zvaigzne ABC, 1997.
3.Guļevska D., Miķelsone A., Porīte I. Pareizrakstības un pareizrunas rokasgrāmata. Latviešu
valoda. – Rīga: Avots, 2002.
4. Latviešu valodas uzdevumu krājums. – Rīga: RTU, 2005.
5. Лиепниеце Л. Латышский язык для всех. – Rīga: Zvaigzne ABC, 2005.
6. Remgere Dz. Vingrinājumi latviešu valodā mazāktautību skolām 10. – 11.klasei. – Rīga:
Pētergailis, 2003.
7. Romane A. Latviešu valodas rokasgrāmata. Tabulas, shēmas. – Rīga: Zvaigzne ABC, 2000.
8. Rubīna A. Latviešu valodas rokasgrāmata. – Rīga: Zvaigzne ABC, 2006.
9. Skujiņa V. Latviešu valoda lietišķajos rakstos. – Rīga, 1999.
10. http://lv.wikipedia.org/wiki/Latvie%C5%A1u_valodas_gramatika
Course prerequisites
Courses acquired before
Course outline
Theme Hours
2
4
4
2
4
4
2
2
4
2
2
Learning outcomes and assessment
Learning outcomes Assessment methods
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * * 2.0 0.0 2.0 0.0 *
RTU Course "Applied Software"
12301 Lietišķo datorsistēmu programmatūras profesora gr.
197
General data
Code DIP217
Course title Applied Software
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Šitikovs Vjačeslavs
Academic staff Šitikovs Vjačeslavs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Integrated application programs development principles overview on the base of MS Office.
Different components usage methods. Text editor (MS Word), spreadsheet (MS Excel),
presentation tool (MS Power Point), workflow support (MS Outlook), graphical editor (VISIO).
Collaboration of different components. Web-technology basic.
Goals and objectives of the course in terms of
competences and skills
Objective - to understand and learn the basics of applications automation.
The tasks are to learn: working with large documents, the accuracy of the input control, the check
of information elements integrity on the MS Excel programming environment, macros, user
interface creation, HTML basics and work with HTML-editors, software interaction, software
integrity (data exchange between applications, sharing of software tools), logic of presentation
creating and order of the information.
After completing the course students will have the competencies and skills in software applications
enhanced usage.
Structure and tasks of independent studies During lectures the training staff presents to students a theoretical concept and tools of those
practical realization. At the end of each lecture training staff to issue for students the task for
practical realization of the next exercise, the students start the task on workshop next to lecture and
complete work at home (if do not carry-out it during the workshop in computer class)
autonomously.
In this case, independently completed work is to defend on the workshop.
Students who missed the defense in scheduled time have to defend it on consultation.
Recommended literature 1. Sitikovs V. Application Programs. A series of lectures (in English). RTU ORTUS: ORTUS►E-
Studijas►DIP121(1),V.Šitikovs,08/09-R►Faili► Application_Programms - Rīga: RTU, 2008.
286,6 Mb (13 videoklipi ar kopējo prezentācijas laiku 260 min.)
2. Šitikovs V. Lietojumprogrammatūra. Lekcijas. RTU ORTUS:ORTUS►E-Studijas► DIP121(1),
V.Šitikovs,08/09-R► Faili► Lietojumprogrammatura_lekcijas_slaidi - Rīga: RTU, 2008. 401
slaids
3. Šitikovs V., Krauklis K.Lietojumprogrammatūra. Laboratorijas darbu uzdevumi un paraugi. RTU
ORTUS: ORTUS►E-Studijas► DIP121(1),V.Šitikovs,08/09-R► Faili►
Lietojumprogrammatura_laboratorijas_darbi - Rīga: RTU, 2008. 60 lpp.
4. Šitikovs V., Krauklis K.Lietojumprogrammatūra. Metodiskie materiāli laboratorijas darbu
izpildei. RTU ORTUS: ORTUS►E-Studijas► DIP121(1),V.Šitikovs,08/09-R► Faili►
Lietojumprogrammatura_multimedija - Rīga: RTU, 2008. 430,7 Mb (16 videoklipi ar kopējo
prezentācijas laiku 430 min.)
Course prerequisites Informatics II (secondary school courses) - basics of software applications, MS Office components
(MS Word, MS Excel, MS Access, MS PowerPoint) basics.
Courses acquired before
Course outline
Theme Hours
Working with large text documents 8
Input data validation in spreadsheets 4
Data auditing in spreadsheets 2
198
Programming in MS Excel environment, macros, creation of user interface 2
HTML basics and work with HTML-editors 4
Graphical Editors 4
Software interaction, software integrity 4
Logic of presentation creation and sequence of information 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Knowing and understanding the content of subject the learner is able to: For valuation "passed" it is necessary to
execute and defend during semester the six
practical tasks
- Quickly and securely make changes to a large hierarchical MS Word document that contains a lot of
intra-and inter-related objects
2 Tasks
- Use MS Excel spreadsheet as a programming tool 2 Tasks
- Create an editable graphical objects and add them to other documents 1 task
- Create documents with mutually binding sites 1 task
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 0.0 1.0 *
RTU Course "Linear and Nonlinear Systems"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEI356
Course title Linear and Nonlinear Systems
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Power and Electrical Engineering
Responsible instructor Bražis Viesturs
Academic staff Bražis Viesturs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Linear and nonlinear control system analysis, stability detection and synthesis. Basic blocks
characteristics, stability estimation. Closed-loop system transient processes and quality parameters
improvement. Nonlinear control system stability detection and correction. Multi-axle motion
control system.
Goals and objectives of the course in terms of
competences and skills
To teach students in comprehension of linear and nonlinear control system design, application of
substitution schemes, to make basic calculations for evaluation of system static error, stability and
transient processes quality.
Structure and tasks of independent studies Students must calculate 13 tasks, independently providing its design and defending at test. Students
must made test in virtual environment www.vu.lv.
Recommended literature I. Raņķis, V.Bražis Regulēšanas teorijas pamati, Lekciju konspekts, Atkārtots izdevums, Rīgas
Tehniskā universitāte Rīga, 2007.
Uzdevumi regulēšanas teorijas pamatos, Rīga, 2004.
V.Kļimavičius. Automātiskā vadība. - Rīga: RTU, 2002.- 232 lpp.
Е.И. Юревич. Теория автоматического управления. – Санкт-Петербург, «БХВ- Петербург»,
2007.-560 с.
Е.И. Юревич. Основы робототехники. 2-е издание. – Санкт-Петербург, «БХВ- Петербург»,
2007.-416 с.
Richard C. Dorf, Robert H. Bishop. Modern Control Systems. – New Jersey: PearsonPrentice Hall,
2005. -881 p.
199
Course prerequisites Mathematics, power engineering and electronics
Courses acquired before DMF101 Mathematics AND EEE209 Electrical Engineering and Electronics (Part 1)
Course outline
Theme Hours
Basic concepts of control system. 2
Concept of transfer function. 2
Frequency research methods. 2
Development and calculation of typical linear control system block circuit. 2
Automated control system basic blocks. 4
PID controller. 2
Lag element, oscillation block. 2
Control system stability criterions. 2
Investigation of control system by algorithm of Rauth, Mihailov method and Naiqvist criteria, examples. 2
Practical realisation of optimization. 2
Analysis of system operation quality parameters. 2
Nonlinear control system analysis. 2
Nonlinear control system stability. 2
Nonlinear control system quality and correction. 2
Multi-axle motion control system. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Able to describe basic elements of control system, their features and working principles. Passed test of tasks Nr.1.-6. Test in virtual
environment. Passed an exam.
Able to evaluate stability of automated control. Passed test of tasks Nr.7.-10. Test in virtual
environment. Passed an exam.
Able to calculate the PID controller. Passed test of tasks Nr. 11. Test in virtual
environment. Passed an exam.
Able to analyse the nonlinear control system operation. Passed test of tasks Nr.12. Passed an exam.
Able to analyse the multi-axle motion control system. Passed test of tasks Nr.13. Passed an exam.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 2.0 0.0 0.0 *
RTU Course "Mathematics"
12021 Inženiermatemātikas katedra
General data
Code DIM701
Course title Mathematics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Iltiņa Marija
Academic staff Iltiņa Marija
Volume of the course: parts and credits points 2 parts, 9.0 Credit Points, 13.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Linear algebra: matrices, determinants, systems of linear equations. Analytical geometry: vectors,
lines, surfaces. Introduction to analysis: limits, continuity. Differential calculus:
200
derivative,differential and their applications.
Integral calculus: indefinite and definite integrals, their applications. Multiple integrals. Ordinary
differentialequations. The Laplace transform. Series.
Goals and objectives of the course in terms of
competences and skills
Deliver basic mathematical concepts that are necessary to understand data handling processes and
algorithms. Develop students’ logical thinking and skills to analyze basic aspects of special subjects
with the objective to analyze more complicated problems.
Structure and tasks of independent studies Eleven homework assignments are given during the course. The topics of these assignments are:
linear algebra, vector algebra, analytic geometry, limits, differentiation of a function of one
argument, analysis of functions, differentiation of a function of several variables, indefinite integral,
applications of a definite integral, differential equations, series. Homework assignments are
submitted before the deadline indicated by a professor. Student has an opportunity to re-submit the
work once after it has been corrected by the professor. The grades for homework assignments are
taken into account for the calculation of the final grade for the course.
Recommended literature 1. Inta Volodko. Augstākā matemātika. Īss teorijas izklāsts. Uzdevumu risinājumu paraugi. I daļa,
Rīga, Zvaigzne ABC, 2007, 294. lpp., 2. daļa, Rīga, Zvaigzne ABC, 2009, 396 lpp.
2. Andrejs Koliškins, Inta Volodko, Maksimilians Antimirovs. Matemātika I tehnisko augstskolu
studentiem. RTU, 2004, 337 lpp., Matemātika II tehnisko augstskolu studentiem. RTU, 2005, 244
lpp.
3. Kārlis Šteiners, Biruta Siliņa. Augstākā matemātika. Lekciju konspekts inženierzinātņu un
dabaszinātņu studentiem. 1. daļa, Zvaigzne, 1997, 96 lpp., 2.daļa, Zvaigzne ABC, 1998, 115 lpp.
4. Kārlis Šteiners. Augstākā matemātika. Lekciju konspekts inženierzinātņu un dabaszinātņu
studentiem. 3. daļa, Zvaigzne ABC, 1998, 192 lpp., 4. daļa, Zvaigzne ABC, 1999, 168 lpp., 6. daļa,
2001, 208 lpp.
5. Kronbergs E., Rivža P., Bože Dz. Augstākā matemātika. 1. un 2. daļa, Rīga, Zvaigzne, 1988, 534
lpp., 527 lpp., 2. daļa, Rīga, Zvaigzne, 1988, 527 lpp.
6. Biruta Siliņa, Kārlis Šteiners. Rokasgrāmata matemātikā. Zvaigzne ABC, 2006, 367 lpp.
7. Dz. Bože, L.Biezā, B.Siliņa, A.Strence. Uzdevumu krājums augstākajā matemātikā. Zvaigzne
ABC, 1996, 328 lpp.
8. Inta Volodko. Tipveida uzdevumu krājums matemātikā I. RTU, 2001, 2003, 2005, 206 lpp.
9. I. Volodko, A. Āboltiņš, L. Biezā. Tipveida uzdevumu krājums matemātikā II. RTU, 2002, 2005,
288 lpp.
Course prerequisites Course is based on knowledge that is acquired in secondary school.
Courses acquired before
Course outline
Theme Hours
Elements of linear algebra: Determinants. Matrices, operations on them. Solution of systems of linear equations. 14
Vector algebra: Scalars and vectors. Vector projection on an axis. Operations on vectors and their applications. 12
Analitical geometry: Equation of a line in a plane. Equation of a plane and a line in three-space. 14
Introduction to calculus: Elementary functions. Sequences and their limits. A limit of a function. Continuity. 14
One-variable differential calculus: Derivative of functions. Applications of derivatives in an analysis of functions. 24
Function of several variables: Definition and geometrical meaning. Partial derivative. Tangent plane and normal. 12
Complex numbers, operations on them. 4
Indefinite integral: Integrals of elementary functions. Methods of integration. 16
Definite integral: Definition and properties. Applications of definite integral. Improrer integrals. 14
Multiple integrals and their applications. 4
Ordinary differential equations: First order and second order differential equations, methods of their solution. 20
The Laplace transform. Solving linear constant coefficient differential equations using the Laplace transform. 6
Numerical and functional series. Applications of power series. 14
Review. 8
Learning outcomes and assessment
Learning outcomes Assessment methods
After successful completion of the course students will be able to solve systems of linear equations
and perform operations on matrices. Can perform operations on vectors.
Evaluation of students’ work is based on the
results of homework assignments, tests and the
final exam.
201
Can find equation of a straight line in a plane and three-dimensional space; Find equation of a plane
in three-dimensional space; Recognize second-order curves and plot they in a plane.
Students’ knowledge and abilities are assessed
using homework assignments, tests and final
exam.
Can compute simple limits; find derivatives of functions; can analyze the behavior of a function
using limits and derivatives and plot the graph of a function.
Two tests, two homework assignments and
several problems on the final exam are used to
assess students’ knowledge on these topics.
Can find partial derivatives of a function of several variables; find equations of a tangent plane and
normal line to a surface; determine extrema of a function of two variables.
Students’ work is tested using homework
assignment and problem on the final exam.
Can perform operations on complex numbers in algebraic, trigonometric and exponential form. Corresponding problems are included in the
final exam.
Can integrate simple functions; find the area of a plane figure, length of a curve and volume of a
body of revolution using definite integral.
Three tests, two homework assignments and
problems on the final exam are used to test
students’ knowledge on the above mentioned
topics.
Can solve simple first and second order ordinary differential equations. Can solve ordinary
differential equations by means of the method of the Laplace transform.
Students’ knowledge is assessed using
homework assignment, test and problems on
the final exam.
Can determine whether a series is convergent or divergent; find the domain of convergence of
functional series; expand a function into power series; use series to compute a definite integral.
One test, one homework assignment and a
problem on the final exam are used to assess
students’ knowledge on these topics.
Can evaluate more complicated integrals, solve ordinary differential equations and other problems
using Mathematica 5.
Students’ knowledge is tested on the pass/fail
system. The test consists of six problems, three
points maximum for each problem. Students’
have to score at least 10 points in order to pass
the course.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 5.0 3.0 2.0 1.0 *
2. * 4.0 2.0 2.0 1.0 *
RTU Course "Supplementary Mathematics (for mechanical engineering)"
12021 Inženiermatemātikas katedra
General data
Code DIM208
Course title Supplementary Mathematics (for mechanical engineering)
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Dzenīte Ilona
Academic staff Dzenīte Ilona
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Fourier series. Line and surface integrals. Elements of complex variable theory: Complex variables
and functions of complex variable. Cauchy’s theorem and Cauchy’s integral formula. Elements of
field theory: Scalar and vector field. Directional derivatives, gradient, vector field flux, work,
circulation, divergence, rotor, Ostrogradsky-Gauss and Stokes formula. Operator calculus: Laplace
transform, its properties and applications.
Goals and objectives of the course in terms of
competences and skills
Give basic mathematical concepts that are necessary to understand processes and algorithms in
professional subjects. Develop students’ logical thinking and skills to analyze basic aspects of
special subjects with the objective to analyze more complicated problems.
Structure and tasks of independent studies There are two mandatory individual home works by themes: Fourier series and Laplace transform,
and two class tests by themes: Elements of complex variable theory and Elements of field theory. In
202
order to get the permission to have the exam, students must get a positive evaluation of their
individual home works and class tests.
Recommended literature 1. K.Šteiners. Augstākā matemātika. Lekciju konspekts inženierzinātņu un dabaszinātņu
studentiem. 5. daļa, Zvaigzne, 2000, 130 lpp., un 6. daļa, Zvaigzne, 2001, 208 lpp.
2. Inta Volodko. Augstākā matemātika. 2. dala, Rīga, Zvaigzne ABC, 2009, 396 lpp.
3. T. Kabiša, V. Gošteina. Matemātikas papildnodaļas. Metodiskais līdzeklis. Rīga, RTU
Inženiermatematikas katedra, 2009, 144 lpp.
4. Antimirovs M., Panfjorova A., Volodko I. Vairākkārtīgie integrāļi un lauku teorija. Rīga, RTU,
1998, 226 lpp.
5. Antimirovs M., Panfjorova A., Liepiņa V. Kompleksā mainīgā funkcijas un konformie
attēlojumi. Rīga, RTU, 1990, 81 lpp.
6. N. Orbidāne, Dz. Lūse, I. Volodko. Tipveida uzdevumi matemātikas papildnodaļās transporta un
mašīnzinību specialitātēm. Rīga, RTU, 2003, 50 lpp.
7. Kronbergs E., Rivža P., Bože Dz. Augstākā matemātika. 2.d., Rīga, Zvaigzne, 1988, 527 lpp.
8. T. Cīrulis, O. Dzenītis. Kompleksā mainīgā funkciju teorija piemēros. Zvaigzne, 1983.
9. I.Egle, B. Siliņa, A. Strence. Uzdevumu krājums augstākās matemātikas speciālajā kursā. 1976.
Course prerequisites One-variable and multivariable differential calculus. Indefinite and definite integral. Double and
triple integral. Numerical and functional series.
Courses acquired before DDM101 Mathematics
Course outline
Theme Hours
Fourier series 4
Line and surface integrals 5
Elements of complex variable theory 10
Elements of field theory 8
Laplace transform 5
Learning outcomes and assessment
Learning outcomes Assessment methods
Using knowledge of Fourier series students will be able to analyze periodic processes appearing in
engineering and physics, for instance, in signal theory.
Evaluation of students’ work is based on the
results of the final exam and homework
assignments.
Students can find line integrals and connected problems on vector field work and circulation, and
weight of material line.
Evaluation of students’ work is based on the
results of the final exam and class tests.
Students can find surface integrals and connected problems on vector field flux through different
shape surfaces, and weight of material surface.
Evaluation of students’ work is based on the
results of the final exam and class tests.
Can find basic characteristic values of scalar and vector field: Directional derivatives, gradient, vector
field flux, work, circulation, divergence, rotor, and check if vector field is potential.
Evaluation of students’ work is based on the
results of the final exam and class tests.
Knowledge of elements of complex variable theory can be used for problems appearing in theoretical
physics, hydromechanics, elasticity theory and radio engineering.
Evaluation of students’ work is based on the
results of the final exam and class tests.
Laplace transforms can be used for problems appearing in electric engineering and automatic control
theory, for instance, for solving differential equations and systems of differential equations.
Evaluation of students’ work is based on the
results of the final exam and homework
assignments.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Sociology of Personalities and Small Groups"
01129 Sociālo zinātņu katedra
General data
Code HSP376
203
Course title Sociology of Personalities and Small Groups
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Social Science
Responsible instructor Ozolzīle Gunārs
Academic staff Ozolzīle Gunārs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 100
Maximum number of students per semester 300
Abstract This subject gives the theoretical basis of microsociological-process, as well as helps to develop
skills in personal and small group interaction optimization. This subject studies personality in place
of the modern socium, the latest trends of mall groups, structure and dynamics.
Goals and objectives of the course in terms of
competences and skills
The object of this subject is to acquire the necessary key micro-process optimization. During the
time of this course students gain awareness of personal and small group functioning of the major
trends in contemporary society. Students learn most used empirical methods for applied micro-
process research.
Structure and tasks of independent studies Planned tasks: 1) literature studies, 2) situation analysis, 3) research program development of the
microsociological -phenomenon . 4) review of group work supervision.
Recommended literature 1.Cilvēks un dzīve socioloģijas skatījumā. Zin.red. Zepa B., Zobena A. – R.: LU, Socioloģijas
katedra, 1996.
2.Mazās grupas un personības socioloģija. Mācību metodiskais līdzeklis. Red. E.Mūrnieks. – R.:
RTU, 1995.
3.Laķis P. Socioloģija. Ievads socioloģijā. – R.: Zvaigzne ABC, 2002.
4.Briņķis G. Socioloģisko pētījumu organizēšana un metodika. Mācību līdzeklis LSPA studentiem.
– R.: LSPA, 2002.
5.Kroplijs A., Raščevska M. Kvalitatīvās pētniecības metodes sociālajās zinātnēs. – R.:
Izdevniecība RaKa, 2004.
6.Giddens A. Sociology. 4th edition. Cambridge: Polity, 2001.
Grām. tulk. krievu val.: Гидденс Э. Социология. – М., Едиториал УРССб 2005.
7.Macionis J. Sociology. 9th edition. – Upper Sadle River, New Jersey: Prentice Hall, 2003. Grām.
tulk. krievu val.: Масионис Дж. Социология. – СПб.: Питер, 2004.
Course prerequisites Not required
Courses acquired before
Course outline
Theme Hours
1.Small groups and personality sociology subject. 2
2.Sociological theories of personality, practical use options. 2
3.Sociological research methodology and techniques of personality. 4
4.Personality in present post-modern society. 2
5.Personality as an agent of social networking system. 2
6.The practical use of the social role theory . The role of personality and personal status. 2
7.Types of small groups, structure and dynamic characteristics. 4
8.Interactive processes in small groups. 2
9.Social effect of the small group - leadership and power in micro-analysis. 2
10.Small group interaction specificity . 4
11.Successful team forming prerequisites.. 2
12.Empirical research methods of small groups. Sociometry and referentometry . 4
Learning outcomes and assessment
Learning outcomes Assessment methods
204
Student must understand the process of microsociological-regularities, can discern and interpret the
key trends of personality's socialization and integration.
Public case studies.
Understands the dynamics of small group, able to effectively participate in constructive decision-
making process.
Group discussion.
Student knows how to make individual and group interview program as well as manage the
interview.
Training Focus Group organization.
Understands the technique of the sociometrical and referentometrical methods. Sociometrical / referentometrical survey
program development.
Able to establish successful command parameters. Sociological diagnosis of small groups.
Final assessment of study results. Final test.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 1.0 1.0 0.0 *
RTU Course "Economics and Planning of Small Business"
22108 Ražošanas un uzņēmējdarbības ekonomikas katedra
General data
Code IUE326
Course title Economics and Planning of Small Business
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Economics
Responsible instructor Vasiļjeva Ludmila
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Abstract Essence and functions of business. Advantages and preconditions for operation of a small business.
Calculation of production and material assets for a small business. Cost accounting. Pricing for
goods and services. Economic substantiation of a small business. Planning of the range of goods
and services. Elaboration of a business plan. How to start a small business.
Goals and objectives of the course in terms of
competences and skills
The aim of the course: to provide theoretical and practical knowledge of small business economics
and planning.
The course implementation tasks: understand the small business concept and its advantages;
introduce the legal aspects of small business operations; assess the current industrial, commercial
and financial activities of a small business; be able to justify the setup of a small business.
Structure and tasks of independent studies Organization and structure of independent studies.
Theme – The theme of independent work – The type of independent work:
1. The small business – the basic economic structure in the market – in the Republic of Latvia,
Small business – entity of different types of business; Case studies.
2. Company setup and functioning; Business setup conditions; Case studies.
3. Company's economic nature; Starting a small business and the key principles of its functioning:
Case studies.
4. Small business equity research; Comparison of the use of company's equity and working capital;
Tasks.
5. Company investment assessment parameters; Values discounting method, Tasks.
6. Planning a small business, busi
Recommended literature 1.Vasiļjeva L. Mazā uzņēmuma biznesa ekonomika un plānošana. Lekciju konspekts. - Rīga: RTU,
2005. -75 lpp.
205
2.Vasiļjeva L. Mazā uzņēmuma izveidošanas pamati/Macību līdzekļis.- Rīga.:RTU
Izdevniecība,2006.-161 lpp.
3.Alsiņa R., Gertners G. Uzņēmējdarbības plānošanas principi un metodes.-Rīga: RTU, 2002.-141
lpp.
4.Ovčiņņikova I. Uzņēmējdarbības ekonomika. - Rīga: RTU, 2002. - 65 lpp.
5. Z.Sundukova, I.Jevinga. Uzņēmuma ekonomika: komersantu darbības pamati. Mācību līdzeklis.
- Rīga: RTU, 2002. - 33 lpp.
6.K.Didenko, N.Lāce. Investīciju lēmumu pieņemšana. - Rīga: RTU, 2001. - 126 lpp.
Course prerequisites Economics.
Courses acquired before IET102 Microeconomics AND IUE407 Marketing AND IUE217 Business Economics
Course outline
Theme Hours
Small business advantages, starting and operating principles. 4
Business nature and model. Forms of entrepreneurship in small business. 8
Economic foundation of small business startup. 4
Small business capital. 4
Company's investment efficiency calculation. 4
Small business revenues and taxes. Small business planning. 8
Learning outcomes and assessment
Learning outcomes Assessment methods
Able to understand the small business concept and its advantages. Case study within the framework of
independent work.
Able to select the legal base for functioning of a small business and its competitive edge. Acquisition of assessment methods for the
product competitiveness in practical examples.
Able to assess the company's current production, commercial and financial activities. Practical work – resolving 12-15 tasks.
Able to justify the setup of a small business. The final assessment – test.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 2.0 0.0 0.0 *
RTU Course "Fundamentals of Artificial Intelligence"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP332
Course title Fundamentals of Artificial Intelligence
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Academic staff Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Artificial intelligence is a sub-field of computer science that deals with the design and development
of such computer systems that possess characteristics (ability to understand, solve problems, infer,
learn, etc.) related with the intelligence in human behaviour. Last decades influence of artificial
intelligence on society is growing extremely quickly: speech recognition and natural language
processing technologies, strategic planning and diagnosis, process and systems control and
management, computer vision and authentication, information retrieval and data mining are only
some directions where progress is impossible without artificial intelligence. Such quickly growing
206
role of artificial intelligence in the modern and future society determines the necessity for
academically educated specialists, which have mastered fundamentals of artificial intelligence,
know its perspectives and have experience in solving problems of artificial intelligence. This course
considers questions related to the two fundamental research objects of artificial intelligence:
solution search and knowledge representation. The main attention is paid to the construction of a
state space of a problem and searching of a solution using uninformed and heuristically informed
search algorithms, representation of knowledge about a problem using semantics networks,
conceptual graphs, scripts, production rules and frames, implementation of two-person games using
the Minimax and Alfa-beta algorithms, as well as use of the propositional and predicate calculus for
representation and solving of real world problems.
Goals and objectives of the course in terms of
competences and skills
The goal of the course is to provide basic knowledge on fundamental objects of artificial
intelligence (search and knowledge representation) and skills of solving complex problems, using
such methods of artificial intelligence as construction of a state space, uninformed search
algorithms, heuristically informed search algorithms, knowledge representation schemes,
propositional and predicate calculus.
Structure and tasks of independent studies Students must work out a course work by using an individual version provided by the teacher at the
beginning of the course. The course work includes 10 tasks covering such topics as construction of
a state space and evaluation of its complexity, implementation of uninformed and heuristically
informed search algorithms, implementation of a two-person game and knowledge representation.
The course work must be worked out using a special template provided by the teacher and must be
submitted two weeks before the examination session.
Recommended literature •Jones T.M. Artificial Intelligence: A Systems Approach. Infinity Science Press LLC, 2008, 498 p.
•Luger G.F. Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 5th
edition. Addison-Wesley, 2005, 928 p.
•Люгер Д.Ф. Искусственный интеллект: стратегии и методы решения сложных проблем, 4-е
издание.: Пер. с англ. Издательский дом «Вильямс», 2005, 864 с.
•Winston P.H. Artificial Intelligence. Addison-Wesley Publ.Company, 1992, 737 p.
•Grundspeņķis J. Ievads intelektuālās sistēmās. Rīgas Tehniskā universitāte, 1993, 158 lpp.
•Negnevitsky M. Artificial Intelligence: a Guide to Intelligent Systems. Addison Wesley, 2005, 415
p.
•Coppin B. Artificial Intelligence Illuminated, Jones and Bartlett Publishers, 2004, 739 p.
•Джексон П., Бивин Д. Введение в экспертные системы. Издательский дом «Вильямс», 2001,
624 c.
•Grundspeņķis J., Novickis L., Osis J., Šitikovs V. Intelektuālu sistēmu projektēšana. Rīgas
Tehniskā universitāte, 1997, 63 lpp.
•Borisovs A. Mākslīgā intelekta metodes. Rīgas Tehniskā universitāte, Rīga, 1993, 75 lpp.
Course prerequisites Students must know characteristics and processing capabilities of different data structures such as
lists, stacks and queues, implementation methods of recursive algorithms, sets and set operations,
relations, their types and characteristics, basic concepts of graph theory and special graph types -
trees and networks
Courses acquired before DIP203 Data Structures AND DIM204 Discrete Mathematics AND DSP202 Discrete Structures of
Computer Science
Course outline
Theme Hours
Definitions of research, directions and prehistory (roots) of artificial intelligence 2
Research history, goals, approaches, tasks, objects and perspectives of artificial intelligence 4
Definition of a state space. Interpretation and examples of state space elements 2
Data- and goal-driven state space search 2
State space search algorithms, implementation of recursive search 4
Heuristically informed search 2
Heuristically informed search algorithms 2
Evaluation of effectiveness of heuristics 2
Using heuristics in two-persons games 4
Knowledge representation 2
Associative and semantic networks 2
Conceptual graphs 2
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Frames 2
Scripts 2
Production systems 2
Propositional calculus 2
Syntax of predicate calculus 2
Semantics of predicate calculus 2
Inference 2
Implementation of inference 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know definitions, research history, goals, approaches, tasks, objects and perspectives of
artificial intelligence
Questions of the theoretical part of the
examination.
Students will be able to create a state space for real world problems and to evaluate its complexity The first and the second task of the course
work, questions of the theoretical part of the
examination.
Students will be able to implement uninformed search algorithms The third task of the course work, the first task
of the practical part of the examination .
Students will be able to define the heuristic evaluation function and to evaluate its effectiveness, as
well as to implement heuristically informed search algorithms
The fourth, fifth and sixth task of the course
work, questions of the theoretical part of the
examination, the second task of the practical
part of the examination.
Students will be able to represent two-persons games with full information as a game tree and to
apply the Minimax and the Alfa-Beta algorithms
The seventh task of the course work, questions
of the theoretical part of the examination, the
third task of the practical part of the exam.
Students will be able to implement such knowledge representation schemes as semantic networks,
conceptual graphs, scripts, production systems and frames
The eighth, ninth and tenth task of the course
work, questions of the theoretical part of the
examination, the fifth task of the practical part
of the examination.
Students will be able to describe a problem domain using the propositional and the predicate calculus,
as well as to implement inference by applying inference rules
Questions of the theoretical part of the
examination, the fourth task of the practical
part of the examination.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 3.0 3.0 0.0 0.0 * *
RTU Course "Microprocessor Technique"
12216 Datoru tīklu un sistēmu teholoģijas katedra
General data
Code DST306
Course title Microprocessor Technique
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Zagurskis Valerijs
Academic staff Zagurskis Valerijs
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Classic assembly level micro machine organization; microprocessor, the architecture and functions;
set of peripherals; programmable input-output interface; organization of interrupts; direct memory
access; BUS organization and BUS cycle; single-chip microcomputers.
208
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1.Morgan Kaufmann. Computer Architecture. 3rd edition, 2002. – 1141 lpp.
2.Willam Stallings. Computer organization & Architecture. Sixth edition, Prentice-Hall, Inc., 2003.
– 826 lpp.
3.Linda Null, Julia Lobur. The Essentials of Computer Organization and Architecture, Jones and
Bartlett Publishers, Inc., 2003. – 673lpp.
4. ČIPA A. Elektroniskie skaitļotāji. Rīga, Zvaigzne, 1983. 234 lpp.
5. Laboratorijas darbi KP580 sērijas mikroprocesoru komplekta pētīšanai. Rīga, Rīgas
Politehniskais institūts, 1986, 118 lpp.
6. A. Čipa. Otrās paaudzes mikroprocesoru komplekts un vispārējās nozīmes skaitļotāja veidošana.
Rīga, Rīgas tehniskā universitāte, 1992., 78 lpp.
7. A. Čipa. Mikroprocesori. http://www/cs/rtu/lv/ ASTF/ publikācijas.
8. A. Čipa. Datori automātikā. http://www/cs/rtu/lv/ ASTF/ publikācijas.
Course prerequisites
Courses acquired before
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 2.0 0.0 1.0 *
RTU Course "Object-Oriented Programming"
12306 Lietišķo datorzinātņu katedra
General data
Code DPI230
Course title Object-Oriented Programming
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Sukovskis Uldis
Academic staff Sukovskis Uldis
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN
Possibility of distance learning Not planned
Abstract This course covers object-oriented (OO) programming concepts and techniques using C++
language as an example. After completing the course students will understand the basic principles
of OO programming and obtain OO programming skills. OO basic concepts - abstraction,
encapsulation, inheritance and polymorphism are discussed as well as practical programming
issues, including class hierarchy formation, an exception handling, templates, etc. Comparison of
C++ with some other OO programming languages (eg C # or Java) is also given. During laboratory
work students must demonstrate theoretical knowledge and acquire programming skills.
Goals and objectives of the course in terms of
competences and skills
To understand and be able to explain the principles of object-oriented programming and
technology, being able to apply these principles for the software development process using object-
oriented programming language and visual programming environments.
Structure and tasks of independent studies To use literature sources, to prepare and execute individual tasks in computer lab
Recommended literature Bjarne Stroustrup. The C++ Programming Language: Special Edition. – Addison-Wesley
Professional, 2000. ISBN-13: 978-0201700732, 1030 lpp.
Booch, G., etc.: Object-Oriented Analysis and Design with Applications. 3rd Ed. Addison-Wesley,
2007.
Ira Pohl. Object-Oriented Programming Using C++ (2nd Edition). – Addison-Wesley Professional,
1996. ISBN-13: 978-0201895506, 576 lpp.
Sutter, H., Alexandrescu, A.: C++ coding standards: 101 rules, guidelines, and best practices.
209
Addison-Wesley, 2007.
Eckel, B.: Thinking in C++. 2nd Ed. Prentice Hall, 2000. Internets:
http://www.mindview.net/Books/TICPP/ThinkingInCPP2e.html
Soulie, J.: C++ Language Tutorial. 2009. Internets: http://www.cplusplus.com/doc/tutorial/
Course prerequisites Knowledge in structural programming (preferably C).
Courses acquired before
Course outline
Theme Hours
Software life cycle. Object-oriented method for analysis and programming. C + + program development. 2
Basic concepts of object-oriented programming - object, message, class, instance, method, and features - abstraction, en 2
Abstraction. Classes and class members. 2
Constructors and destructors. Visibility scope. 2
Hierarchy. Derived classes. Multiple inheritance. 2
Virtual functions. Pure virtual functions and abstract classes. 2
Static class members. Class friends. 2
Polymorphism. Operation overloading. 2
Templates. 2
Exception handling. 2
Programming techniques using C++. 10
Introduction to other OOP language with comparison to C++. 2
Laboratory work. 16
Learning outcomes and assessment
Learning outcomes Assessment methods
Is able to explain the OO concepts and demonstrate their implementation in C++. Passed tests and examination.
Is able to independently implement the program in C++ using object oriented programming
technology, to explain the program and statements used.
Successfully completed and defended
laboratory works.
Is able to analyze the C++ programs for the structure and operation. Passed tests and examination.
Is able to explain features of object-oriented and structural programming. Passed tests and examination.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 2.0 0.0 1.0 *
RTU Course "Intensive Latvian Course"
01A02 Tehniskās tulkošanas katedra
General data
Code VIL162
Course title Intensive Latvian Course
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Languages
Responsible instructor Lauziniece Valentīna
Academic staff Lauziniece Valentīna
Volume of the course: parts and credits points 2 parts, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Intensive course in the Latvian language is aimed at the students with lower intermediate to
beginner knowledge of the language in order to advance their skills in spoken communication,
reading, listening and writing. Students should be able to use the acquired knowledge fluently and
purposefully in the study process.
210
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1. Palīgā! Mācību grāmata pieaugušajiem, 1. - 3. līmenis. – Rīga: Zvaigzne ABC,
1998.,1999.,2002.
2. Dombrovska B. Testi latviešu valodā vidusskolēniem, reflektantiem un cittautiešiem. – Rīga:
Pētergailis, 2000.
3. Ceplīte B., Ceplītis L. Latviešu valodas praktiskā gramatika. – Rīga: Zvaigzne ABC, 1997.
4. Guļevska D., Miķelsone A., Porīte I. Pareizrakstības un pareizrunas rokasgrāmata. Latviešu
valoda. – Rīga: Avots, 2002.
5. Latviešu valodas uzdevumu krājums. – Rīga: RTU, 2005.
6. Лиепниеце Л. Латышский язык для всех. – Rīga: Zvaigzne ABC, 2005.
7. Remgere Dz. Vingrinājumi latviešu valodā mazāktautību skolām 10. – 11.klasei. – Rīga:
Pētergailis, 2003.
8. Romane A. Latviešu valodas rokasgrāmata. Tabulas, shēmas. – Rīga: Zvaigzne ABC, 2000.
9. Rubīna A. Latviešu valodas rokasgrāmata. – Rīga: Zvaigzne ABC, 2006.
10. Sarunvalodas vārdnīca "Survival Latvian" - Rīga.: Jumava, 1993.
11. http://lv.wikipedia.org/wiki/Latvie%C5%A1u_valodas_gramatika
Course prerequisites
Courses acquired before
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 0.0 3.0 0.0 *
2. * * 1.0 0.0 3.0 0.0 *
RTU Course "Control Technique with Microprocessor Controllers"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEP582
Course title Control Technique with Microprocessor Controllers
Course status in the programme Compulsory/Courses of Limited Choice
Course level Post-graduate Studies
Course type Professional
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Academic staff Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Process control systems with one and two tanks of capacities. Control loops. Industrial
measurement equipment for flow, pressure, level and temperature. Controlled valves,
programmable controllers, functions, P, PI, PID control loops, optimal setting techniques.
Goals and objectives of the course in terms of
competences and skills
To teach students to realize the automation actuated with Fanuc controllers. Tasks - to teach the
process of normalizing tehnological signals for controller management systems, to teach a process
control algorithm and its entering into the computer system, a controller attachments for the
technological process.
Structure and tasks of independent studies Students need to prepare for each laboratory work, made pre-preparation of the algorithms and their
possible computer realization with its checking before the lesson by teacher.
Recommended literature 1. Gardener J. W., Varadan V. K., Awadelkarim O. O. Microsensors, MEMS and Smart Devices.
Wiley, 2001.
2. Maluf N. An Introduction to Microelectromechanical Systems Engineering. Artech House, 1999.
3. J. A.Rehg, G.J.Sartori Industrial Electronics, Prentice Hall, NY, 2006, 862 p.
211
Course prerequisites Industrial electronics, industrial process automation.
Courses acquired before EEP475 Electronic Equipment AND EEP473 Basics of Production Systems Automation
Course outline
Theme Hours
Technological processes, automation, automation tasks. 2
Technological process parameters, the analogue and digital processing. 2
Microprocessor controller design principles. 2
Microprocessor architecture of the Fanuc controller. 2
Data input and output from the controller Fanuc. 2
Fanuc controller programming. 4
Fanuc controller programming examples. 2
Lab.w. No. 1. Introduction to Fanuc programming language. 4
Lab.w. No. 2. Algoritmization of technological process No.1. 4
Lab.w. No.3. Input of the algorithm of technological process No. 1 on the computer. 4
Lab.w. No.4. Control system test of technological process No. 1. 4
Lab.w. No.5. Elaboration and test of Control system of technological process No. 2. 4
Lab.w. No.6. Elaboration and test of Control system of technological process No. 3. 4
Lab.w. No.7. Elaboration and test of Control system of technological process No. 4. 4
Tests lesson. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Being able to create a processing of digital control algorithm and its computer presentation at given
specific controller.
The defense of management of program
entered into the computer and controller.
Being able to create a controller Fanuc management of the process automation system. Defended laboratory works No.4, 5,6,7.
Succesfully passed the exam.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 1.0 0.0 2.0 *
RTU Course "Algorithmization and Programming of Solutions"
12314 Informātikas un programmēšanas katedra
General data
Code DIP106
Course title Algorithmization and Programming of Solutions
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Lavendels Jurijs
Academic staff Lavendels Jurijs
Volume of the course: parts and credits points 2 parts, 5.0 Credit Points, 7.5 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 1
Maximum number of students per semester 250
Abstract Students receive academic knowledge in computer applications, as well as pragmatic skills in
development of algorithms, software development and debugging. The acquired knowledge and
skills provide further successful mastering of computer science courses.
Goals and objectives of the course in terms of
competences and skills
The aim of the course is to provide algorithmzation skills, practical software development and
debugging skills.
212
Preparation of laboratory works, computerized solving of different tasks.
Preparing students for further individual work using computers, preparing students for further use
of computer applications in learning process, as well as for further individual learning new
knowledge and skills in computer applications.
The results are achieved providing:
- academic knowledge on algorithms, their properties and their development, formal
syntax, semantics, data types, structures, as well as data processing operations;
- practical knowledge in high-level programming languages, their
Structure and tasks of independent studies Individual work consists of:
- learning of methodological materials and literature;
- practical development of algorithms;
- designing, documenting, coding, and testing of software.
Recommended literature 1. IP katedras datorizētie mācību līdzekļi.
2. Spalis. Turbo Pascal for Windows ikvienam. Rīga, Datorzinību centrs, 1998, 170 lpp.
3. Balode A. Programmēšanas pamati. Valoda Turbo Pascal, Rīga, Zvaigzne, 2006, 232
lpp.
Course prerequisites Preferable knowledge of secondary school’s informatics, although practically we must work with
students as they are
Courses acquired before DIP104 Introduction to Computers and Algorithms
Course outline
Theme Hours
Algorithms in daily life and their implementation in computers, development of algorithms, computer program as a way of 8
Main data types and structures, data processing operations in high-level programming languages. 10
Syntax and semantics of programming languages. Programming language PASCAL as one of the many programming languages. 10
Development of a first program, testing, debugging. The basics of user’s interface. 20
Subprograms and their structure. 6
Subprogram libraries (pascal UNITS) 6
Data sets on external mediums (files), logical disk and physical files, serial and direct access. 8
Practically applicable software development. 12
Learning outcomes and assessment
Learning outcomes Assessment methods
Skills in development of algorithms (including) in the level of flowcharts, skills in software
development, skills in debugging.
Skills in working in integrated programming
environment.
Development of a first program. Exam mark takes into account:
- shown knowledge in the written
exam on algorithm analysis, finding of
semantic errors, development of small
fragments of programs;
- the quality of laboratory works d
Part 2 .
File handling by means of high level language facilities. Exam mark takes into account:
- shown knowledge in the written
exam on algorithm analysis, finding of
semantic errors, usage of program libraries
(units);
- the quality of laboratory works done
thro
Exam Exam mark takes into account:
- shown knowledge in the written
exam on algorithm analysis, finding of
213
semantic errors, usage of program libraries
(units);
. - the quality of laboratory works done
throughout the semester and the regularity of
the work during the semester (regarding the
deadlines)
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 2.0 0.0 1.0 *
2. * 2.0 1.0 0.0 1.0 *
RTU Course "Robot systems modeling basics"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP716
Course title Robot systems modeling basics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Ņikitenko Agris
Academic staff Ņikitenko Agris
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Robotic systems are modeled with different tools and using different development environments.
The user can use graphical environment of mentioned tools, but to understand what happens in the
background, he needs to know the mathematics. This course is designed to teach robot modeling
basics and the dominant topic is rigid body kinematics (movement and rotations). The course also
will look at several linked element kinematics, where one element affects another element speed
and movement direction.
The course practical part is organized as classroom courses where students will develop computer
programs to solve problems covered in theoretical lectures.
Goals and objectives of the course in terms of
competences and skills
The aim is to provide a basic knowledge of rigid bodies homogeneous kinematics transformations.
Objectives:
1) Be able to create a physics engine and being able to implement mathematical transformations of
rigid bodies kinematics.
2) Be able to use XNA Game Studio to visually represent kinematics transformations.
3) Be able to use quaternion algebra to describe rotations.
4) Be able to work with multiple linked element kinematic system.
Structure and tasks of independent studies Practical work is organized in lectures, which are hald of total course lectures. In practical lectures
students will write computer programs to solve mathematical problems explained in theoretical
lectures. Part of practical work is task to write course paper.The course paper content is extension
of content covered in course practical lectures.
Recommended literature 1. Jack B. Kuipers. Quaternions and rotation sequences. – Princeton University Press. 2002,
- 371 p.
2. Mark W. Spong, Seth Hutchinson, M. Vidyasagar. Robot Modeling and control. – John
Wiley & Sons. 2006, - 478 p.
3. Geoffrey M. Dixon. Division Algebras: Octanions, Quaternions, Complex Numbers and
the Algebraic Design of Physics. – Kluwer Academic Publishers. 2002, - 236 p.
4. Ian Millington. Game Physics Engine Development. - Elsevier Science & Technology
Books. 2007, - 480 p.
5. Д Конгер. Физика для разработчиков компьютерных игр. – Бином. 2007, – 530 с.
214
Course prerequisites Mathematics (vectors and matrices), Physics (kinematics) and programming basics.
Courses acquired before
Course outline
Theme Hours
Introduction 1
The application of mathematics 4
Kinematics, homogenous transformations 2
Introduction in game physics engine development 2
2D rendering 2
3D transformations 2
3D rendering 2
Advanced technique of defining rotations 4
Mesh objects 2
Xna Game Studio basics 2
Introduction to robot mechanics modeling 1
Kinematics for several linked elements 6
Acceleration and angular velocity 4
Path and trajectory planning 4
Physical fore modeling 4
Connecting previously covered topics 6
Learning outcomes and assessment
Learning outcomes Assessment methods
Be able to solve the homogeneous kinematic transforms in 2D space and be able to use these
transformations in 2D computer graphics.
Practical works 2., 3., 4.
Exam questions on appropriate topics.
Be able to solve the homogeneous kinematic transforms in 3D space and be able to use these
transformations in 3D computer graphics.
Practical works 5. un 6.Exam questions on
appropriate topics.
Be able to use algebra quaternion algebra to describe rotations. Practical works 7. un 8.Exam questions on
appropriate topics.
Know the physics engine development principles and be able to use XNA Game Studio for mesh
object visualization and to perform homogeneous kinematic transformations in 3D space.
Practical works 1., 9., 10.Exam questions on
appropriate topics.
Need to know kinematics for several linked elements. Practical works 11., 12., 13.Exam questions on
appropriate topics.
Able to simulate the acceleration and angular velocity of rigid bodies. Practical works 14. un 15.Exam questions on
appropriate topics.
Able to plan the path and trajectory of moving rigid bodies. Practical works 16. un 17.Exam questions on
appropriate topics.
Know the force modeling methods. Practical works 18. un 19.Exam questions on
appropriate topics.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 1.5 1.5 0.0 *
RTU Course "Electric Drive of Robots"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEP352
Course title Electric Drive of Robots
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
215
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 100
Maximum number of students per semester 200
Abstract The notion of electric drive of robots, history, classification. Types of motors of the robots electric
drives and their mechanical and electromechanical characteristics. Influence of parameters. Control
of speed in the electric drive of robots. Transient processes of the drives of robots, power indices,
their calculation, selection of motors. Types of automatic control of the robots electric drive.
Goals and objectives of the course in terms of
competences and skills
The aim of the course of to master mechanics of the robots electric drive systems, influence of
parameters on the drives’ characteristics, methods of speed control, methods of transient processes
calculation, calculation of power indices of the drives and selection of motors for different
operational regimes of the electric drives.
The students are expected to be able to describe and analyze the systems of robots electric drives, to
select the scheme of speed control of robot electric drive and calculate its elements, to calculate the
influence of the transient processes on the operation of the electric drive of robots.
Structure and tasks of independent studies Self-dependent work for mastering of the lectures material. Preparation for tests.
Before each practical work the students are expected to complete report on the theoretical basics
Recommended literature 1. L. Ribickis, J. Valeinis. Elektriskā piedziņa mehatronikas sistēmās. RTU izdevniecība, 2008. 286
lpp.
2. I. Boldea, S. A. Nasar. Electric Drives. CRC Press, 1999. 411 lpp.
3. N. Mohan. Electric Drives an Integrative Approach. MNPERE Minneapolis, 2001. 424 lpp.
4. Н. Ф. Ильинский. Основы электропривода. МЭИ, 2007. 221 с.
Course prerequisites Basics of electric drives, electrical machines, theoretical basics of electrical engineering,
mechanics, kinematics, power electronics.
Courses acquired before EEM212 Electrical Machines AND EEL301 Power Electronics AND BBM301 Fundamentals of
Mechanics
Course outline
Theme Hours
Introduction and history of robots electric drive development. 1
Mechanics of drives of robots. 1
Electric drive in robot systems, its characteristics. 1
Speed control of DC drives of robots. 2
Speed control of AC drives in robot systems. 2
Linear drives in robot systems. 1
Dynamics of robot DC drives. 2
Dynamics of robot AC drives. 2
Dynamics of robot special drives. 2
Methods of robots electric drives control. 2
1.Pract.w. Determination of torque of inertia of electric drive. 2
2.Pract.w. Static and dynamic characteristics of DC drive. 2
3.Pract.w. Static and dynamic characteristics of asynchronous drive. 2
4.Pract.w. Static and dynamic characteristics of synchronous drive. 4
5.Pract.w. Static and dynamic characteristics of linear drive. 2
6.Pract.w. Investigation and calculation of parameters of industrial robot operation. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
The students are able to describe types of electric drives in robot systems, influence of parameters on
its mechanic and electro-mechanic characteristics
Test, examining students' ability to to describe
types of electric drives in robot systems,
influence of parameters on its mechanic and
216
electro-mechanic characteristics in robotic
systems.
The students are able to calculate mechanic and electro-mechanic characteristics of DC and AC
drives of robots.
Test, examining students' ability to to calculate
mechanic and electro-mechanic characteristics
of DC and AC drives of robots.
The students are able to describe methods of speed control in AC and DC robot driving systems. Test, examining students' ability to describe
methods of speed control in AC and DC robot
driving systems as well as to take their
regulation characteristics.
The students are able to calculate transient processes for the systems of DC and AC robot drives. Test, examining students' ability to calculate
transient processes for the systems of DC and
AC robot drives as well as to take
characteristics of speed and current changing
in time.
The students are able to calculate power losses for DC and AC robot drives. Test, examining students' ability to calculate
power losses for DC and AC robot drives.
The students are able to select electric motors for different regimes of drives operation in robotic
systems.
Test, examining students' ability to select
electric motors for different regimes of drives
operation in robotic systems.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 1.0 1.0 0.0 *
RTU Course "Robot control system development project"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP712
Course title Robot control system development project
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Ņikitenko Agris
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The project goal is development of robot control system for a particular robotic system. The project
is organized a work in groups
Goals and objectives of the course in terms of
competences and skills
The course goal is to advance student's abilities to work in group, to plan own activities, accomplish
assignments as wall as to defend and present the results
Structure and tasks of independent studies The course is organized as practical work/ project in groups, where job assignments are planned and
assigned within the group. The task accomplishments are controlled within the group as well. The
assigned task is being accomplished individually by group members.
Recommended literature 1) R.Siegwart, R. Naurbaghsh Introduction to autonomous mobile robots, MIT Press, 2004.
2) S.Russell, P.Norvig Artificial intelligence - a modern approach 2nd edition, Pearson Education
Inc., 2003.
3) iRobot Roomba tehniskā dokumentācija.
Course prerequisites Solution algorithmization and programming parts I and II, Electrotehnics and electronics
Courses acquired before
Course outline
Theme Hours
217
Student group selection 2
Project task selection, analysis and detailed elaboration 4
Individual assignments 2
Project schedule development, implementation and control 16
Development of technical documentation 6
Presentation of project results 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Is able to join the group for common goal in robotic system design projects Individual assessment based on contribution
for the group project
Is able to plan own activities in accordance with the outcomes of other group activities Individual assessment based on contribution
for the group project
Is able to elaborate technical documentation typical for robotic system design projects Individual assessment based on contribution
for the group project
Is able to present robotic system design project results Individual assessment based on contribution
for the group project
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 0.0 2.0 0.0 *
RTU Course "Industrial Electronic Equipment"
11103 Industriālās elektronikas un elektrotehnol.katedra
General data
Code EEP579
Course title Industrial Electronic Equipment
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Professional
Field of study Power and Electrical Engineering
Responsible instructor Ribickis Leonīds
Academic staff Ribickis Leonīds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN
Possibility of distance learning Not planned
Abstract Classification of manufacturing systems, technology pyramid and tree. Discrete control input and
output devices – control switches, relays, actuators and indicators. Solid-state devices in industrial
applications – transistor and thyristor switches, solid state relays, AC and DC voltage regulators.
Discrete industrial sensors – inductive and capacitive proximity sensors, photoelectric sensors, their
operational principles and typical implementation. Output interfaces of discrete sensors. Analog
industrial sensors and transducers – temperature, pressure, flow, level, position and speed sensors,
their operational principles and typical implementation. Analog signal conditioning with
operational amplifiers. Electromagnetic noise and relevant noise suppression methods. Logic gates,
synthesis and minimization of logic functions. Industrial power supply topologies. Programmable
logic controller systems, their structure and typical components. Ladder diagrams. Classification
and structure of industrial communication networks.
Goals and objectives of the course in terms of
competences and skills
Provide knowledge in fundamentals of industrial electronics. Develop the ability to recognize and
design basic electronic equipment applicable in industrial environment.
Structure and tasks of independent studies Students independently have to describe and design a simple process control system.
Recommended literature J.Greivulis, I.Raņķis. Iekārtu vadības elektroniskie elementi un mezgli. Rīga: Avots, 1997, 288 lpp;
I. Raņķis, A. Žiravecka, Industriālās elektronikas pamati. Rīga: Avots, 2007, 212 lpp;
A.R. James, G.J. Sartori, Industrial Electronics. Pearson Education Inc., Prentice Hall, 2006. 862.p;
Прянишников В.А. Электроника. Полный курс лекций. Корона-Принт, 2004. – 416c.
218
Волович Г. И. Схемотехника аналоговых и аналого-цифровых электронных устройств / Г.И.
Волович. - Москва : Додэка-XXI, 2005. - 528с.
Course prerequisites Basic knowledge of fundamentals of electrical engineering theory and in solid-state devices.
Courses acquired before EEE223 Fundamentals of Electrical Engineering Theory AND EEE202 Electron Devices
Course outline
Theme Hours
Introduction to topics to be covered, literature and requirements. 1
Classification of manufacturing systems, technology pyramid and tree. 1
Mechanically activated control switches, relays, actuators. 2
Solid-state devices – transistor and thyristor switches, solid state relays AC and DC voltage regulators. 2
Discrete sensors – inductive, capacitive, photoelectric sensors, operational principles and typical implementation. 2
Analog industrial sensors and transducers, their operational principles and typical implementation. 4
The structure and basic properties of operational amplifiers. 2
Analog signal conditioning with operational amplifiers. Active filters. 4
Typical operational amplifier integrated circuits and their parameters. Instrumental operational amplifier. 4
Electromagnetic noise in industrial equipment and relevant noise suppression methods. 2
Logic gates, manipulation, integrated logic circuit families. 2
Industrial power supply topologies. Popular integrated voltage regulator circuits. 2
Introduction to programmable logic controller (PLC) systems. The structure and modules of PLCs. 2
Classification and structure of industrial communication networks. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Ability to recognize and apply typical discrete and analog sensors. Test on relevant subjects covered in lectures.
Ability to recognize and apply typical analog signal conditioning modes with operational amplifiers. Test on relevant subjects covered in lectures.
Ability to synthesize and optimize logic functions according with given automation tasks. Test on relevant subjects covered in lectures.
Ability to design simple process control systems. Executed, completed, defended home task.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 2.0 2.0 0.0 0.0 * *
RTU Course "Basics of Communication"
01129 Sociālo zinātņu katedra
General data
Code HPS120
Course title Basics of Communication
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Social Science
Responsible instructor Gudzuka Sandra
Academic staff Gudzuka Sandra
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract The subject of the course "Basics of Communication" suggests different contexts of communication
in the fields of psychology, ethics, culture. Terminology and nature of communication. Verbal and
nonverbal aspects. Interpersonal relationship in a group. Principles of human cooperation. Ethical
regulation of human relationships. Influence of cultural norms. Conflict management.
Communication style and behaviour etiquette at university. Nature of communicative competence.
Goals and objectives of the course in terms of Goal of this study designed to develop students' communicative competence, which include a)
219
competences and skills understanding of the interface situation, goals, and student's own and partner's interaction behavior,
b) skills to select and use adequate means of communication.Students must be able to analyze the
interaction of the situation, be able to argue their position in the discussion, should be able to
choose the appropriate behavioral tactics.Understand their strengths and weaknesses of hand
contact and be able to develop a personal communication style.Understand the principles of team
cooperation, should be able to consciously choose his own role in a team,able to build effective
communications in group
Structure and tasks of independent studies Study the subject of a student acquisition of the following distinct tasks: 1) literary analysis, 2)
communication skills training and learning skills of self-assessment during the semester and 3)
conduct interviews a research project with the intention to develop interviewing and observation
skills, 4) Group work organization, with a view to develop leadership skills, 5) the ability to access
the personal analysis and exposition set up.
Recommended literature Omarova S.Cilvēks runā ar cilvēku R., 2002
Veics V. Uzvedības kultūra saskarsmē. R., 2000.
L.Dubkēvičs,I.Ķestere. Saskarsme.Lietišķā etiķete. R.,Jumava, 2003.
Course prerequisites Experience in interface.
Courses acquired before
Course outline
Theme Hours
1.Interface concept. The structure of communicative competence. 2
2.Communication functions and types. 2
3.Individual communication style and the factors that affect communication quality. 2
4.Verbal communication. Speech and listening. Persuasion techniques. Interviewing skills. 4
5. Non-verbal communication and the role of expression contexts. 2
6.Effective interface, communication barriers,the principles of customer communication, interacting with partners. 4
7.People mutual perception and evaluation. Perceptual errors and causal atribution. Stereotypes and prejudice. 4
8.Interface in working groups and teams. Roles and cooperative principles. 4
9.Conflict. Conflict types, agents, dynamics and resolution capabilities. Behavioral tactics in the conflict. 4
10. Ethical aspects of access and communication culture. Tolerance and interaction prejudices. Communication at uni. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Understanding of communication process, structure, verbal and non verbal aspects of communication
competence. - Case studies. Pretest.Test.
Understanding of communication competence and communication skills improvement. - Self-
evaluation accoording to formulated criteria.
Understanding of conflict situations, serious communication partners and the skill to choose the
appropriate action model. - Role-playing and the simulation of situation. Self-assessment and expert
ratings.
Skills in team work, an understanding of group and team activities. - Group assignment presentations
and self-analysis.
Skills to create a personal communication style characteristics. - Mutual rating (expert and self-
esteem) Final examination - test.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * * 2.0 1.0 1.0 0.0 * *
RTU Course "Basics of Signal Theory"
13223 Elektronikas pamatu katedra
General data
Code RTR220
220
Course title Basics of Signal Theory
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Electronics and Telecommunications
Responsible instructor Beķeris Elmars
Academic staff Beķeris Elmars
Volume of the course: parts and credits points 1 part, 4.0 Credit Points, 6.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 180
Maximum number of students per semester 180
Abstract Clasification of signals, their characteristics, examples of use for communication systems.
Continuous-time periodic and non-periodic signals, Fourier transforms, properties. Disrete-time
signals, Discrete Fourier Transforms, digital filtering, FIR and IIR filters. Modulation, AM, FM,
PM signals, digital modulation, transformation of modulated signals by narrowband linear systems.
Random signals, main parameters, principles of measurement, noise of electronic systems.
Goals and objectives of the course in terms of
competences and skills
To offer understanding of main characteristics of signals and their analysis methods in time and
frequency domains. To acheive the ability evaluate main signal parameters and understanding of
signals transformations in various systems.
Structure and tasks of independent studies 1. Preparation for lab.works, reports writing and their presentation (accomplishment of all activities
related to lab.works is controlled). Objective: to promote understanding of lecture material, to
develop research skills.
2. Preparation for tests (such tests are offered at every practical lesson). Objective: to stimulate
systematical learnind during the term.
3. Accomplishment of offered tasks. Objective: to provide opportunity get aquainted with problems
similar to offered at examination.
Recommended literature 1.Beķeris, E. Signālu teorijas elementi. Rīga, 1998. 184 lpp.
2.Haykin, S., Van Veen, B. Signals and Systems. New York etc.: Wiley, 1999. 694 p.
3.Sherrick, J.D. Concepts in Systems and Signals. 2nd ed. Upper Saddle River (N.J.) ; Columbus
(O.) : Pearson/Prentice Hall, c2005. 447 p.
4.Баскаков, С. Радиoтeхничеcкиe цeпи и сигнaлы. Москва : Высшая школа – visi izdevumi
(1983 – 2005).
5.Сaтo, Юкио. Oбрaбoтka сигнaлoв. Пeрвoe знakoмствo. Москва: Додэка ХХI, 2002. 176с.
6.Сeргиенko, A. Цифрoвaя oбрaбoтka сигнaлoв. Москва и др. : Питер, 2002.608 c.
vai Сергиенко, А. Б. Цифровая обработка сигналов. 2-е изд. Москва [и др.] : Питер, 2006. 750
с.
7.Денисенко, А. Н. Сигналы : Tеоретическая радиотехника : справочное пособие. Москва :
Горячая линия – Телеком, 2005. 704 с.
8.http://www.complextoreal.com/
Course prerequisites Mathematics: vector analysis; complex algebra, singularities; derivatives, integration. Circuit
theory. Electronic devices.
Courses acquired before
Course outline
Theme Hours
Introduction. Classification of signals, power and energy signals. 3
Representation of periodic signals by Fourier series basrd on orthogonal set of functions. Spectras. 5
Trigonometric Fourier series. Transformation of periodic signals by linear continuous-time systems 6
Complex exponential Fourier series, Fourier transforms, spectral density. 4
Properties of Fourier transforms. 5
Energy spectrum, Rayleigh's theorem, bandwidth of aperiodic signals. 4
Representation of a continuous-time signal by its samples, the sampling theorem, sampling in the frequency domain. 4
The Discrete Fourier Transforms. 4
Main principles of digital filtering. Analysis of digital filters in the time and frequence domains, Z-transforms. 6
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Modulated signals, Amplitude modulation (AM), transformation of AM signals by bandpass systems, balance and single side 5
Angle modulation: frequency modulated and phase modulated signals. 5
Digital modulation - amplitude, phase and frequency shift keying, M-ary modulation. 2
Random signals: ensemble of sample functions, stationarity, probability density functions. 4
Random signals: autocorrelation function, power spectral density. 3
Transformation of random signals by linear system. Noise in electronic systems. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Able to evaluate the average power and energy of various signals, understand how to select proper
methods for analysis of their properties.
Tests, exam.
Know how to represent periodic signals by trigonometric and complex exponential Fourier series.
Able to calculate spectras of periodic signals
Tests, presentation of laboratory work reports,
exam.
Understand spectral density of signals. Able to apply Fourier transforms for analysis of signals in
linear systems, able to evaluate a bandwidth of signals, apply properties of Fourier transforms.
Tests, presentation of laboratory work reports,
exam.
Able to apply the Sampling theorem, understand how to use Discrete Fourier Transforms. Tests, presentation of laboratory work reports,
exam.
Able to explain the principles of digital filtering, know how to find impulse and frequence responses
of FIR and IIR filters.
Tests, presentation of laboratory work reports,
exam.
Able to describe properties of modulated signals: waveforms, spectras. Tests, presentation of laboratory work reports,
exam.
Able to evaluate characteristics of stationar random signals: mean values, probability distribution,
autocorrelation function, power spectral density. Understand transformation of random signals.
Tests, exam.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 4.0 2.0 1.0 1.0 *
RTU Course "Methods of Systems Theory"
12307 Sistēmu teorijas un projektēšanas katedra
General data
Code DSP342
Course title Methods of Systems Theory
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Computer Science
Responsible instructor Grundspeņķis Jānis
Academic staff Grundspeņķis Jānis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Job of a system analyst is directly related to the analysis of different business and technical systems.
For this purpose a system analyst must know methods and tools for the identification and describing
of characteristics and operating principles of different systems. The main attention of the course is
devoted to the development of students' systems thinking by considering the use of system theory
methods in the analysis of different kinds of systems. The following topics are considered during
the course: origin of systems science and its specific methods, basic elements of systems thinking,
principles of systems classification, cybernetic approach to systems thinking, principles and
elements of system control and management, evaluation of system complexity, the role of
information and communication in system management, system laws and principles, as well as life
cycles. By developing an individual work students must apply theoretical knowledge to the analysis
of real world systems.
Goals and objectives of the course in terms of The goal of the course is to provide theoretical knowledge on system approach, systems thinking,
222
competences and skills system classification, system control and management, as well as in system engineering principles
and skills for applying system approach and systems thinking to the real problem solving
Structure and tasks of independent studies During the course students must work out practical tasks by choosing two systems classified in
different classes. The practical tasks includes 8 tasks that cover such course topics as characteristics
of systems thinking, system control, system laws and complexity, the role of information and
communications in system management, system approach to the development of systems. The
practical tasks must be submitted sequentally during the semester
Recommended literature 1.Schoderbek, P.P, Schoderbek, C.G., Kefalas, A.G. Management Systems: Conceptual
Considerations (4th ed.). Richard D Irwin, 1990, 458 p.
2.Fenton, N.E., Hill, G. Systems Construction and Analysis: A Mathematical and Logical
Framework. McGraw - Hill, 1993, 465 p.
3.Skyttner, L. General Systems Theory: Problems, Perspectives, Practice. World Scientific
Publishing Company, 2006, 536 p.
4. Bose, N. K. Multidimensional Systems Theory and Applications.Springer Netherlands, 2009,
292 p.
5. Lunze, J., Lamnabhi-Lagarrigue, F. Handbook of Hybrid Systems Control: Theory, Tools,
Applications. Cambridge University Press,2009, 582 p.
Course prerequisites None
Courses acquired before
Course outline
Theme Hours
Evolution from the machine age to the systems age 2
Basic elements of systems thinking and their characteristics 2
Main concepts of a system definition and their characteristics 4
System classifications 2
System laws and principles 2
Cybernetics approach to systems thinking, classification of systems on the basis of their complexity and predictability 2
System control using feedback 6
Elements of a control system 2
Systems’ variety and complexity 2
System management and information and communication theory 2
System management 2
System engineering 2
Systems life cycle models 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know characteristics and differences of machine and systems age, methods of systems
science and will be able to compare analytical and systems approach
Knowledge assessment using concept maps
Students will know characteristics of systems thinking and will be able to describe real world systems
using them
The first, second and third practical task,
knowledge assessment using concept maps
Students will know the essence and goals of classification, widely used classifications and classes of
systems
Knowledge assessment using concept maps
Students will know the essence of system control, its basic principles and elements and will be able to
identify different kinds of feedback and elements of a control system in real world systems
The fourth and seventh practical task,
knowledge assessment using concept maps.
Students will know system laws and principles and will be able to show their manifestations in real
world systems
The fifth practical task, knowledge assessment
using concept maps
Students will know what is the systems’ complexity and will be able to evaluate it quantitatively and
qualitatively for real world systems
The sixth practical task, knowledge assessment
using concept maps
Students will know the role of information and communications in system management and will be
able to demonstrate it, using real world examples, as well as to calculate information volume
The eighth practical task
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
223
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Numerical Methods"
12021 Inženiermatemātikas katedra
General data
Code DOP204
Course title Numerical Methods
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Iltiņš Ilmārs
Academic staff Iltiņš Ilmārs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Abstract Solution of linear equation systems by direct, iterative and variation methods. Solution of nonlinear
equations and systems. Interpolation, aproximation, mean square method, its applications.
Noncorrect problems. Regularization with Tihonov method.
Goals and objectives of the course in terms of
competences and skills
After mastering the course student must be able to perform the simplest numerical methods. Student
must be competent in problems that could occure in the process of applying numerical methods.
Must be able to use the software MATHEMATICA to solve the simplest problems. Must be able to
use the built-in functions of MATHEMATICA.
Structure and tasks of independent studies While mastering the course student is expected to accomplish two home tasks. The mark of the
home tasks influences the final mark with a weight 40%.
Recommended literature 1. M. Iltiņa, I. Iltiņš. Skaitliskās metodes. Rīga, RTU, 2002, 95 lpp.
2. R. Smirnova, M.Iltiņa, I. Iltiņš. Skaitlisko metožu pielietojumi Mathcad vidē. Rīga, RTU, 2003,
93 lpp
3. H. Kalis. Diferenciālvienādojumu tuvinātās risināšanas metodes. R., Zvaigzne, 1986.
4. Samarskis A. A., Guļins A. B. Skaitliskās metodes. M., Zinātne, 1989. (krievu valodā).
Course prerequisites Linear algebra, analytical geometry, calculus and preliminary knowledge in software
MATHEMATICA.
Courses acquired before
Course outline
Theme Hours
Direct methods of solution of linear simultaneous equations. Appliance of the methods. 4
Methods of iteration for linear simultaneous equations. Concept of convergence. 4
Theorems that caracterize convergence of methods of iteration and application problems connected with them. 4
Interpolation and approximation, their appliance. 4
Methods of solution for nonlinear equations and simultaneous equations. 4
Numerical differentiation and integration, smoothing. 4
Numerical methods of solving of differential equations. Methods of Euler and Runge- Kutta. 4
Concept of ill conditioned problems. Coefficient of determination. Regularization. 4
Learning outcomes and assessment
Learning outcomes Assessment methods
Student is expected to know methods of solving simultaneous linear equations based on factoring of
matrix. Must be able to perform these methods by means of the software MATHEMATICA
Home assignment. Task in the exam.
Student is expected to know Seidel method, Jacobi method, method of simple iteration, method of
minimal discrepancy. Must be able to perform these methods by means of the software
MATHEMATICA.
Home assignment. Task in the exam.
Student must know the concept of convergence and the causes of eventual nonconvergence. Knowledge necesary to carry out home work
of previous items. Task in the exam.
Student must be able to perform table's interpolation by linear combination of functions, by cubic Home assignment. Task in the exam.
224
spline. Must be able to perform table's approximation by means of method of minimal squares.
Student must be able to apply the method of simple iterations and the Newtons method to solve
equations and simultaneous equations.
Home assignment. Task in the exam.
Student must know the main methods of numerical differentiation and integration. Home assignment. Task in the exam.
Student must know the concept of difference equations. Must be able to apply Eulers method and the
method of Runge-Kutta to solve Cauchy problem.
Home assignment. Task in the exam.
Student must know the concept of ill conditioned problem. Must understand the influence of the
coefficient of determination on the quality of solution.
Task in the exam.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Special Purposes Electrical Machines"
11213 Elektrisko mašīnu un aparātu katedra
General data
Code EEM426
Course title Special Purposes Electrical Machines
Course status in the programme Compulsory/Courses of Limited Choice
Course level Post-graduate Studies
Course type Professional
Field of study Power and Electrical Engineering
Responsible instructor Ketners Kārlis
Academic staff Ketners Kārlis
Volume of the course: parts and credits points 1 part, 3.0 Credit Points, 4.5 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Special Purposes Electrical Machines (SPEM) classification, principles of design and operation,
application fields, types are comprised in this course. SPEM that are used in test stands in mode of
brake and sensor, SPEM of informatics and transportation, electromagnetic coupling, frequency
converters, SPEM bases on magnetohydrodynamics. Directions of development and perspectives of
SPEM.
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1. Dirba J. Ketners K. Elektriskās mašīnas. R.: RTU, 2007
2. Dirba J., Ketners K., Levins N., Pugačevs V. Transporta elektriskās mašīnas. R.: Jumava, 2002.
3. Ф.М. Юферов. Электрические машины автоматических устройств. М.: Высш.шк., 1988.
4. Л.А. Потапов, Юферов Ф.М. Измерение вращающих моментов и скоростей вращения
микроэлектродвигателей. М.: Энергия, 1974.
H.Moczala, J.Draeger, H.Krauss, H.Schok, S.Tillner. Small electric motors. London, IEE, 1988.
6. Elektriskās mikromašīnas. Laboratorijas darbu uzdevumu un metodiskie norādījumi. R.: RTU,
2006.
Course prerequisites
Courses acquired before EEM305 Electrical Machines
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 3.0 1.5 0.0 1.5 *
225
RTU Course "Sport Activity"
01121 Sporta katedra
General data
Code HFA101
Course title Sport Activity
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Sports
Responsible instructor Bonders Viktors
Academic staff Bonders Viktors
Volume of the course: parts and credits points 2 parts, 0.0 Credit Points, 0.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Abstract Swimming.Rhythmics.Weight-lifting.Sports Games. General Physical Training.
Goals and objectives of the course in terms of
competences and skills
Not for
Structure and tasks of independent studies Not planned
Recommended literature Masumēdiju publikācijas par sportu. Mācību programma priekšmetā sports. R., RTU,2007
Course prerequisites Not necessary
Courses acquired before
Course outline
Theme Hours
Practical training 64
Learning outcomes and assessment
Learning outcomes Assessment methods
To pass the test The test
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 0.0 0.0 2.0 0.0 *
2. * * 0.0 0.0 2.0 0.0 *
RTU Course "Descriptive Geometry and Engineering Graphics"
20226 Datorizētās inženiergrafikas katedra
General data
Code BTG131
Course title Descriptive Geometry and Engineering Graphics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Professional
Field of study Engineering Graphics
Responsible instructor Dobelis Modris
Academic staff Dobelis Modris
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 30
Maximum number of students per semester 1000
226
Abstract Theoretical basis of representation of spatial objects on the plane. Projection methods. Point, line
and plane. Drawing transformation methods. Metric exercises. Intersection problems. Isometric
views. Complex drawing. Formats, scale, line code. Views, sectional views and sections.
Dimensioning. Screw threads. Threaded fastenings and joint representation. Sketches and working
drawings. Detail assemblies. Computer aided geometric modeling of engineering objects.
Goals and objectives of the course in terms of
competences and skills
Acquire the knowledge about theoretical aspects of spatial object representation in the amount of
basic knowledge of descriptive geometry. Be able to use this knowledge in practice while creating
sketches and drawings for details and assemblies.
Structure and tasks of independent studies Practical and laboratory graphic assignments in class, individual home exercises:
Drawing document, scale, lettering, lines.
Intermediate test: Points, lines, planes in space.
Sections of tetrahedrons. Pyramid and prism.
Sections of objects of rotation, Cone, cylinder, sphere.
Views and simple sections (sketch).
Complex and partial sections in multiview drawing and isometric.
Intermediate test: Views, sections, dimensions.
Sketch of detail with thread.
Threaded joint and parts list.
Exam: 1: Sectioned objects. 2. Multiview drawing.
Recommended literature 1. Inženiergrafika. Autori: Auzukalns J., Dobelis M., Fjodorova G., Jurāne I., u.c. Rīga: RTU. 2008.
-310 lpp. MLĶF un TMF studentiem.
2. Būvgrafika. Mācību līdzeklis tehnisko augstskolu studentiem. Autori: Auzukalns J., Dobelis M.,
Fjodorova G., Jurāne I. Rīga: RTU, 2007. – 396 lpp. BF studentiem.
3. Inženiergrafika. Čukurs J., Nulle I., Dobelis M. Jelgava: LLU, 2008. - 416 lpp. Neklātienes
studentiem.
3. Inženiergrafika. Jurāns V. , Rieksts V. , Seņins A. Rīga, 1983. -276 lpp.
4. Technical Drawing and Engineering Communication. Goetsch D.L. Chalk W.S., Nelson J.A.
Rickman R.L. Delmar Cengage Learning, 2010. -986 p.
5. Начертательная геометрия и черчение. Чекмарев А.А. Москва: ВЛАДОС, 2005. -471 с.
Course prerequisites The knowledge of geometry covered in high school.
Courses acquired before
Course outline
Theme Hours
Introduction. Projection methods. Orthogonal projections of point, line and plane 2
Relationships between points, lines and planes. 2
Projections of polihedra and their sections with edge view planes. Pyramid and un prism. 4
Projections of objects of revolution and their sections with edge view planes. Cone, cylinder and sphere. 4
Sectioned geometric objects. 2
Views, sectional views, sections, partial sections, dimensioning. Isometric views. 8
Threaded joint, representation and dimensioning. Sketching. 4
Preparation of assembly drawing and part's list . 4
Multiview drawing of detail with sections and dimensions. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Students will know the method of multiview drawing formation. Will be able to construct points,
lines and planes in three projections. Will be able to represent simple geometric objects in projections
Practical class exercises, home assignments,
intermediate test. Evaluate the ability to use
projection method in practice and neatness of
completed graphic exercise.
Are able to represent geometric objects in multiview drawing and construct mental section with
section planes. Are able to recognize represented spatial geometric elements in multiview drawing.
Practical class exercises, home assignments,
exam. Evaluate the ability to read and
represent geometric objects in drawing and
neatness of completed graphic exercise.
Students are able to represent simple details in multiview drawing and axonometric projection,
complete required sections and dimension properly. Are able create sketches of simple details.
Practical class exercises, home assignments.
Evaluate the ability to decompose simple detail
227
into geometric objects, represent them in
drawing and neatness of completed graphic
exercise.
Will understand separable and permanent joints. Are able to represent detail with thread, determine
their parameters. Will be able represent threaded joint in assembly drawing and build parts list.
Laboratory exercise with measuring
instruments, home assignments, exam.
Evaluate the ability to create a drawing
according to standards and neatness of
compled graphic exercise.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 0.0 0.0 2.0 *
RTU Course "Business Economics and Fundamentals of Marketing"
22108 Ražošanas un uzņēmējdarbības ekonomikas katedra
General data
Code IUE206
Course title Business Economics and Fundamentals of Marketing
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Economics
Responsible instructor Sundukova Zoja
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Forms of entrepreneurship. General description of company's assets and sources of financing.
Composition and utilization of fixed assets. Current assets, utilization indicators. Labor resources.
Indicators of labor productivity. Types and systems of remuneration. Concepts of costs and
expenditures. Classification of costs. Calculation of prime cost. Calculation of cost items. Profit and
profitability. Launching of a company in the consumer goods market. Research of market
conjuncture.
Goals and objectives of the course in terms of
competences and skills
Structure and tasks of independent studies
Recommended literature 1. Alsiņa,R.,Gertners,G.Uzņēmējdarbības plānošanas principi un metodes.- Rīga:RTU,2005.-
229.lpp.
2. Alsiņa R., Kravinska B., Bojarenko J. Uzņēmējdarbības ekonomika. – Rīga: Kamene, 1999.-
165lpp.
3. Alsiņa R., Zolotuhina K., Bojarenko J. Vadības grāmatvedības pamati. – Rīga.: Raka. 2000. –
180 lpp.
4. Ahenbahs H. Uzņēmējdarbība tirdzniecībā. – R.Vadelote. 1999.-213 lpp.
5. Didenko K., Lāce N. Investīciju lēmumu pieņemšana. – Rīga.: RTU, 2001.-126lpp.
6. Frolova L. Ekonomisko procesu matemātiskā modelēšana. – R.: Biznesa augstskola Turība,
1999. – 308 lpp.
7. Hofs Kjells Gunnars. Biznesa ekonomika/Tulkots no norvēģu valodas. – Rīga: Jāņa Rozes
apgāds, 2002. – 560 lpp.
8. Petrova L., Alsiņa R. Esi uzņēmējs! – R. Kamene, 1999.-184 lpp.
9. Praude V., BeļčikovsJ. Menedžments. – R. Turības mācību centrs, 1997. – 135 lpp.
10. Rurāne M. Ražošana. – R.: Turības mācību centrs, 1998. – 184 lpp.
11. Živitere M. Komercdarbības (biznesa) plāns. – R. Biznesa komplekss, 2000.-100 lpp.
12. Eugene F. Brigham. Fundamentals of Financial Management. – USA: the Orydem Press, 1995.
13. Griftin, Ebert. Buseness.-USA: Prentice Hall, 1996.
228
14. Mcguigan, Moyer, Harris. Managerial Economics.-USA: West Publishing, 1993.-724lpp.
15. Джай К. Шин. Джойл Г. Сигел. Основы коммерческого бюджетирования. Пер. с англ.-
СП6. Азвука, 2001 496 стр.
16. Сироплис Н.К. Управление малым бизнесом. Пер. с англ. – М., Дело, 1997.-672 с.
17. Составление бизнес – плана Э.С.Зилель, Л.А. Шулбц, Б.Р.Форд, Д.С. Карни.-2-е изд.- М.:
Джон Уайли энд Санз, 1995.-223.
Course prerequisites
Courses acquired before
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "Business and Investments"
22414 Starptautiskās un reģionālās ekonomikas kat.
General data
Code IBO319
Course title Business and Investments
Course status in the programme Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Economics
Responsible instructor Ādamsone Liena
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Abstract Essence, types and relevance of economics of investments. The synergy effects of investments. The
main strategies of investments, the assessment of investment projects to evaluate the effectiveness
of different capital investment alternatives and their risk level. There are analyzed investments into
human capital, in the different securities and possibilities of public private partnership.
Goals and objectives of the course in terms of
competences and skills
to acquaint with the capital investment possibilities and with the evaluation of investment
alternatives.
The main tasks:
-to understand the influence of investments on the development of the economy and their synergy
effects;
-to manage evaluate the different capital investment alternatives;
-to make sense of investment projects realizing using public and private partnership
Structure and tasks of independent studies 1. home work - to design cash flow
2. home work - to assess investment project
3. home work - to evaluate risk level of investment project
4. home work - to identify the value of shares and bonds
Recommended literature Brealey, Richard A. Principles of Corporate Finance/ Stewart C. Myers. – 4th ed. – New York:
McGraw-Hill, 1991. – 924 p.
Сухарев О.С., Шмалѐв С.В., Курьянов A.M. Синергетика инвестиций.-
Москва: 2008 – 366 стр.
Нуреев Р.М. Курс микроэкономики.- НОРМА-ИНФРА, Москва: 2001 – 560 стр.
Золотогоров В.Г. Инвестиционное проектирование. Экономперспектива. 1998 – 464 стр.
Button M., A practical Guide to PPP in Europe, City & Financal Publishing UK, 2006 – 165 p.
Course prerequisites preferable knowledge in Microeconomics and Macroeconomics.
Courses acquired before
Course outline
229
Theme Hours
1. The forms of investments and their nature 2
2. The synergetic of investments: the dynamic of the unbalanced systems, the synergy effects of investments 4
3. The influence of investments on economy and their main factors 4
4. The main strategies of investments and their realization 2
5. The main assessment methods to evaluate investment projects 4
6. Cost benefit analysis, cost effectiveness analysis 2
7. The assessment of investment project risk level 2
8. Attraction of capital for the realization of investment project 2
9. Investments into human capital 2
10. Financial investments in the different securities 4
11. The assessment of shares using technical and fundamental analysis 2
12. The main models of public private partnership and their application in the different branches in the national econom 2
Learning outcomes and assessment
Learning outcomes Assessment methods
will be able to:
1.describe the influence of investments on the development of economy
the 1. test work
2.compare the different capital investment alternatives, to design cash flow and to assess capital
investment project
tasks
3. apply analysis of sensitivity to define which changes of figures more influence the net present
value
the 2. test work
4. to design the investments of human capital and their return, to explain relationship between the
investments in human capital and their return, competences and knowledge
tasks
5. appraise investments in the different securities using profitability and risk level the 3. test work
6. list the main models of public private partnership and to describe the main differences between
them and their advantages
discussion
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 2.0 2.0 0.0 0.0 *
RTU Course "Business Economics"
22108 Ražošanas un uzņēmējdarbības ekonomikas katedra
General data
Code IUE217
Course title Business Economics
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Economics
Responsible instructor Sundukova Zoja
Academic staff Sundukova Zoja
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV
Possibility of distance learning Not planned
Abstract Types of business. General description of company's assets and sources of financing. Intangible
assets. Composition and utilization of fixed assets. Current assets, utilization indicators. Labor
resources. Indicators of labor productivity. Types and systems of remuneration. Concepts of costs
and expenditures. Classification of costs. Calculation of prime cost. Calculation of cost items. Profit
and profitability, factors affecting profitability.
Goals and objectives of the course in terms of
230
competences and skills
Structure and tasks of independent studies
Recommended literature 1. Alsiņa R. Kravinska B., Bojarenko J. Uzņēmējdarbības ekonomika. – Rīga: “Kamene”, 1999.g. –
165 lpp.
2. Alsiņa R., Zolotuhina K., Bojarenko J. Vadības grāmatvedības pamati. – Rīga.: RaKa, 2000. –
180 lpp.
3. Dideko K., Lāce N. Investīciju lēmumu pieņemšana. – Rīga: RTU, 2001. – 126 lpp.]
4. Hofs Kjells Gunnars. Biznesa ekonomika/ Tulkots no norvēģu valodas. – Rīga: Jāņa Rozes
apgāds, 2002. – 560 lpp.
5. Ovčiņņikova I., Uzņēmējdarbības ekonomika. - Rīga, RTU, 2002. - 64 lpp.
6. Rurāne M. Finanšu menedžments. - Rīga: RSEEBAA, 2005. - 384 lpp.
7. LR likums “Komerclikums”//Latvijas Vēstnesis, 04.05.2000.
8. LR likums “Komerclikuma spēkā stāšanās kārtības likums”// Latvijas vēstnesis, 28.12.2001.
9. LR likums “Grozījumi komerclikumā”// Latvijas vēstnesis, 2009.
10. Eugene F. Brigham. Fundamentals of Financial Management. – USA: the Dryden Press, 1995.
11. Mcguigan, Moyer, Harris. Managerial Economics.–USA: West Publishing, 1993.–724lpp.
12. Griftin, Ebert. Business. – USA: Prentice Hall, 1996.
13. Джай К. Шин. Джойл Г. Сигел. Основы коммерческого бюджетирования/ Пер. с англ. –
СП6. : Азбука, 2001. 496 стр.
Course prerequisites
Courses acquired before
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 2.0 1.0 1.0 0.0 * *
RTU Course "Organization of Management in Enterprise"
22112 Vadībzinību katedra
General data
Code IRO202
Course title Organization of Management in Enterprise
Course status in the programme Courses of Free Choice
Course level Post-graduate Studies
Course type Professional
Field of study Business Management and Administration
Responsible instructor Zvanītājs Jānis
Academic staff Zvanītājs Jānis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Abstract Enterprise as a system. Management functions. Goals and planning of business. Goal management.
Decision making. Labor projection. Planning of the required number of staff: recruitment and
selection, selection for particular jobs, performance evaluation. Organizational structure. Delegation
and audit interval. Communication within organizations. Time management. Management audit:
audit techniques, performance appraisal
Goals and objectives of the course in terms of
competences and skills
Competence about system of organization of management in enterprise. Ability of organization of
entrepreneurship and resources, making business decisions, formulation of efficiency of goals.
Structure and tasks of independent studies Ability to review organization of management in enterprise, to define changes in specified period.
Recommended literature G.Dāvidsone. Organizāciju efektivitātes modelis., Rīga, SIA O.D.A. 2008.
C.Cole. Management theory and practice, London, 1993.
A.Līdumnieks. Vadīšana. Ogre, 1994.
J.Beļčikovs, V.Praude, Menedžments, Rīga, 1997.
Course prerequisites IRO302, Organization of production.
231
Courses acquired before
Course outline
Theme Hours
Urgency of subject, goals and tasks, relations with other disciplines. 2
System of elements of organization of management in enterprise, its significance. 2
Resourses of enetrprise, its administration. 2
Material and technical resources of enetrprise, organization of its efficient exploitation. 2
Organization of management of technological processes, its significance in entrepreneurship. 2
Employee as main element of organization of management in enterprise. 2
Human resourses and its significance in entrepreneurship. 2
Main directions of organization of work, its significance in organization of management. 2
Indexes of efficiency of management, its exploitation. 2
Systems of stimulation of employees, its exploitation. 2
Organization of formation and exploitation of material resources in enterprise. 2
Organization of financial resources in enterprise. 2
Organization of system of management of enterprise. 2
Efficiency of organization of management of enterprise, its criterions. 2
Methods of determination of organization of management, criterions of substantiation. 2
Organizational substantiation of perspectives of development of enterprise. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Competence in system of organization of management. Study work.
Ability to review theoretical and practical aspects of organization of management. Study work.
Ability to review organization of management, its efficiency. Study work.
Ability to review and make forecast of organizational development of enterprise. Study work.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * * 2.0 1.0 1.0 0.0 *
RTU Course "Sociology of Management"
01129 Sociālo zinātņu katedra
General data
Code HSP375
Course title Sociology of Management
Course status in the programme Compulsory/Courses of Limited Choice; Courses of Free Choice
Course level Undergraduate Studies
Course type Academic
Field of study Social Science
Responsible instructor Taraškevičs Ronalds
Academic staff Taraškevičs Ronalds
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 150
Maximum number of students per semester 600
Abstract The importance of social phenomena and processes in the development of the society, governance
of the society (theoretical basics). Skills in distinguishing among structures and styles of different
management levels. The effect of social phenomena and processes on work organization,
motivation, formal and infomal human relationship is evaluated.
Goals and objectives of the course in terms of The goal of the sociology of management is to make the technocratic way of thinking more
232
competences and skills humanitarian, thus gaining the basic competences in decision-making basing not only on technical
and economic but also on social factors. In seminars and practical classes it is possible to gain skills
in evaluating social risks choosing governance structures and management styles.
Structure and tasks of independent studies 1. Homework - to make a questionnaire and present the findings in a seminar. 2. Practical classes -
case studies in work collectives with the aim to minimize risks in decision-making process. 3.
Seminars - discussion on the effect of social phenomena on the governance process. 4. Tests - to
check skills in identifying, defining, describing and evaluating social phenomena and processes.
Recommended literature 1. R.Taraškevičs. Vadības socioloģija (ik gadu atjaunots lekciju konspekts, praktisko nodarbību
uzdevumi un testi, brīvi pieejami e - studiju vidē).-Rīga. 77. lpp..
2. R.Taraškevičs. Ievads vadības socioloģijā (lekciju konspekts). -Rīgā. 1993. -182 lpp..
3. (R.Taraškevičs, lekciju konspekts, 2006.g.) http://www.bf.rtu.lv/documents/nvsd/materiali/vs.pdf
4. A.Kravčenko, I.Tjurina. Vadības socioloģija (krievu valodā). -Maskava. 2005. -1134 lpp..
5. G.Ozolzīle. Socioloģija. -Rīga. 2009. -253 lpp..
6. J.Ščepanskis. Socioloģijas elementārie jēdzieni (krievu valodā). -Maskava. 1969. -245 lpp..
7. M.Vellers. Viss par dzīvi (krievu valodā). -Sankt-Peterburga. 2003. -750 lpp..
8. Philip Kotler. Marketing Essentials. -Northwestern University. 1989. -639 p..
Course prerequisites Secondary education
Courses acquired before
Course outline
Theme Hours
1. Sociology as a science. Preconditions, stages and regulations of the development of society. 2
2. Sociology of management. History, subject of research, definitions. 4
3. Methods in practical sociology. Methods of obtaining information, credibility and interpretation of data. 2
4. Employee in the system of social relations. Social processes and changes of social processes. 4
5. Social aspects of marketing. Essence of marketing and methods of market management. 4
6. Enterprise as a social system. Social and demographic, ethnic, economic and distribution relations. 2
7. Social aspects of human factor. Necessity and mechanisms of activization of the human factor. 4
8. Social aspects of management. Importance of the state social policy, social projects and technologies. Governance. 4
9. Social aspects of work and work organization. 2
10. Household conditions and work efficiency. Time, space of the development of the society. 2
11. Test. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Ability to identify the subjects of research of sociology and sociology of management, to define these
sciences and to describe the necessity of the knowledge of sociology for specialists.
Discussion in a seminar, test.
Ability to distinguish among different methods of obtaining sociological information, to apply these
methods, to evaluate the credibility level of the questionnaire method and to explain the findings.
Homework, tests.
Ability to identify social phenomena and processes and to explain their essence. Ability to define the
following concepts-individual, personality, individuality, confidence, awareness and self-confid.
Test.
Ability to distinguish among social aspects of marketing, to compare methods and conceptions of
market management.
Discussion in a seminar, test.
Ability to identify the importance of social organization in the structure of an enterprise as well as
social and demographic, social and ethnic, economic and distribution relations in a work collect.
Test.
Skills to compare structures of professions, specialities, specialization and qualification. Ability to
evaluate social mechanisms of making the human factor more active.
Case study.
Ability to evaluate the importance of the state social policy in the development of the society as well
as the importance of the managing structure and styles in the manager's work organization.
Discussion in a seminar, test.
Ability to identify indicators of stimulus for work and motivation in production. Ability to evaluate
the relations between a person and technical equipment and the evolution of these relations.
Case study.
Ability to choose indicators of life quality and social payment systems and to explain that for the
society time is the space for development.
Case study, test.
Study subject structure
Part Semester CP Hours per Week Tests Tests (free choice)
233
Autumn Spring Summer Lectures Practical Lab. Test Exam Work Test Exam Work
1. * 2.0 1.0 1.0 0.0 * *
RTU Course "Probability Theory and Mathematical Statistics"
12022 Varbūtību teorijas un mat. statistikas katedra
General data
Code DMS212
Course title Probability Theory and Mathematical Statistics
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Mathematics and Statistics
Responsible instructor Carkovs Jevgenijs
Academic staff Carkovs Jevgenijs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN
Possibility of distance learning Not planned
Abstract Classical definition of probability. Axsiomatical definition of probability. Algebra of events.
Bernully's schema. Formulas of full probability and Baijes. Continuous and discrete random
variable. Distributive and density of functions. Large numbers law. Central limit theoreme.
Elements of mathematical statistics. Combinatoric. Test of hypothesis.
Goals and objectives of the course in terms of
competences and skills
Objective of the course is to acquaint students with basics of probability theory and its
mathematical apparatus both on the classical scheme level, and also on axiomatic level. Allow to
understand the regularities of the random phenomena that occur mass-repeating. Giving an
overview of mathematical statistics mission and the possibility of using probability theory
apparatus to solve them.
Structure and tasks of independent studies The course provides an independent homework performance for each topic considered in practical
work.
Recommended literature 1.O.Krastiņš. Varbūtību teorija un matemātiskā statistika. R:Zvaigzne,1985.
2.M.Buiķis,J.Carkovs,B.Siliņa. Varbūtību teorija un matemātiskās statistikas elementi.-Zvaigzne,
1996.
Course prerequisites Linear algebra and analytic geometry, calculus.
Courses acquired before
Course outline
Theme Hours
Definition of probability, sample space, events, algebras, probability axioms 2
Practical. Set operations with events 2
Classical definition, combinatorics, conditional probability, total probability and Bayes' formula 2
Practical. Classical scheme, conditional probability, total probability and Bayes' formula 2
Geometric probability, Bernoulli scheme, limit theorems for Bernoulli scheme. 2
Practical. Bernoulli scheme. 2
Random variables, distribution function, discrete and continuous distributions, probability density function. 2
Test. Random events. 2
Multivariate random variables, expectation, variance, properties 2
Practical. Distribution and probability density function. 2
Covariance, correlation coefficient, limit theorems, the law of great numbers, central limit theorem. 2
Practical. Expectation, variance. 2
Elements and principal problems of mathematical statistics. Data visualisation. Statistical estimates. 2
Practical. Multivariate random variables, covariance, correlation coefficient. 2
Testing hypotheses, losses, risk, Neyman-Pearson lemma, Bayesian an minimax criteria 2
Test. Random variables. 2
Learning outcomes and assessment
Learning outcomes Assessment methods
234
Calculation of probabilities for random events. Application of probability axioms, slassical definition,
conditional probability, total probability and Bayes' and Bernoulli formulae
problems to be solved included into test 1
Random variables. Application of major facts about probability distributions (discrete and
continuous), distribution function, density, numeric characteristics.
problems to be solved included into test 2
Elements of mathematical statistics. Application of statistical estimates and confidence intervals,
major methods, hypotheses testing, losses, risk, form of criteria based on Neyman - Pearson lemma,
characteristics of criteria.
problems to be solved included into exam
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 2.0 1.0 1.0 0.0 *
RTU Course "The German Language"
01A02 Tehniskās tulkošanas katedra
General data
Code HVD108
Course title The German Language
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Languages
Responsible instructor Lauziniece Valentīna
Academic staff Lauziniece Valentīna
Volume of the course: parts and credits points 2 parts, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU, DE
Possibility of distance learning Not planned
Abstract Entering the university after secondary school the students nowadays have a relatively high level of
the German language skills. Therefore, sustaining and improving this level it is important to
provide the students with the opportunity to apply their basic knowledge within the framework of
the chosen scientific and professional field. The aspects of language application are significant, i.e.,
it is important to acquire special terminology, grammar constructions that are typical of the
literature of specific areas. To improve the competitiveness of graduate engineers in the
international labor market it is necessary to provide the students with opportunity to use the
language often and more effectively in all those aspects within the selected professional field. All
the texts for reading comprehension, writing and speaking topics are selected according to the study
program taking into account the average level of language skills. The selected lexical and syntactic
constructions typical of the technical language and language for specific purposes (LSP) are taught
independently on the study program.
Goals and objectives of the course in terms of
competences and skills
The aims of the program are to develop students' speaking, writing, reading and listening skills; to
improve students' knowledge of business german and business correspondence skills; to increase
the stock of professional terminology, and to develop students' communicative competences.
Particular emphasis is put on developing and improving of reading, comprehension and
interpretation skills while working with professional original texts of intermediate and advanced
level in German identifying, solving and explaining problems of text comprehension.
Structure and tasks of independent studies Two home reading tasks a semester. The students read and work in details with at least two
independently selected texts on special field, summarize the information, prepare presentation,
master new terminology from the texts.
Recommended literature 1. Reimann Monika, Grundstufen-Grammatik für DaF, Max Hueber Verlag, Ismaning, 2008
2. Schumann Johannes, Schwierige Wörter, Übungen zu Verben, Nomen und Adjektiven,
Max Hueber Verlag, Ismaning, 2008
3. Rug W., Tomaszewski A. Grammatik mit Sinn und Verstand.-München: Edition Deutsch
Klett, 2000.
4. Hall K., Schneider B. Übungsgrammatik für Fortgeschrittene.-Verlag für Deutsch, 2004
5. Adelheid Höffgen, Deutsch lernen für den Beruf, Kursbuch, Arbeitsbuch.-Verlag für
Deutsch, Ismaning, 2007
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6. E.Zettl, J.Jansen, H.Müller, Aus moderner Technik und Naturwissenschaft, Ein Lese- und
Übungsbuch für Deutsch als FS.-Hueber, Ismaning, 2003
7. Heinrich Stalb, Deutsch für Studenten, Text- und Übungsbuch.-Verlag für Deutsch,
Ismaning, 1998
8. Hartmut Aufderstraße, Heiko Bock, Jutta Müller, Helmut Müller, Themen 3 aktuell,
Kursbuch, Arbeitsbuch, 2 Kassetten, Glossar.-Max Hueber Verlag, Ismaning, 2003
9. N.Becker, J.Braunert, Dialog Beruf 3, Kursbuch, Kassette.-Hueber, Ismaning, 2003
10. Periodisks preses izdevums „Markt”, Deutsch für den Beruf, Materialien aus der Presse,
Goethe Institut, Inter Nationes, 3mal jährlich
11. Periodiski izdevumi, būvniecības, mašīnzinību, elektrozinību, telekomunikāciju,
inženierekonomikas u.c. specialitāšu studentiem
12. Materiāli internetā eseju rakstīšanai:
http://www.google.lv/search?hl=lv&q=Wie+schreibt+man+ein+Essay&start=10&sa=N
Course prerequisites Secondary school level after centralised exam
Courses acquired before
Course outline
Theme Hours
Negotiating agreement. Reading reports. A plan of the text; conclusions. Exchanges featuring negotiations 2
Reading manuals, instruction booklets, technical brochures, directories, data bases etc. 4
Text on speciality. Exchanges featuring meetings. Meetings, chairing a meeting, taking turns, interrupting . 3
Text on speciality. Introduction into describing tables, charts and diagrams. Describing trends and development . 3
Text on speciality. A report describing tables, charts and diagrams, Science and scientists 8
Interviewing. Employment contract. Remuneration, CV and the letter of application, Exchanges featuring interviews 4
Home reading No.1 4
Text on speciality. Argumentative essay: introduction. Exchanges featuring discussions 2
Ergonomics, health and safety at work, Argumentative essay: structure and language, Exchanges featuring discussions 2
Text on speciality, Essay: The Factors to Consider when Choosing a Job 2
Text on speciality. Discussion based on the text 20
Home reading No.2 4
Text on speciality. Discussion based on the text. Exchanges featuring opinions. 2
Text on speciality. Discussion based on the text Listening comprehension test (10-15 mins). 4
Learning outcomes and assessment
Learning outcomes Assessment methods
The students are able to adequately use terminology and specific grammar constructions, recognize
and define particular terms.
During the classes the students correctly use
terms in speaking and writing activities.
During the assessments they complete tasks for
special vocabulary usage to test terminology
competence.
The students are able to recognize and write essays of different types, and compile technical
documentation.
The students successfully perform all the tasks
connected with writing skills development
having completed three written works per
academic semester.
The students are able to participate in general and profession-oriented discussions, dialogues,
interviews and other types of communicative situations.
During the semester the students take active
part in the speaking activities at the regular and
assessment classes, presenting their thoughts in
a clear comprehensible form, answering
questions
The students are able to recognize, analyze, evaluate and summarize scientific technical information
from various scientific and popular scientific resources.
The students independently select and master
at least two scientific technical texts from
internationally approved sources, prepare
presentation and commentaries on the obtained
information.
The students are able to successfully pass a final exam testing listening, reading, writing and speaking The assessment is carried out according to 10-
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skills. grade scale. Language proficiency level should
correspond to the level B2 according to CEFR.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * 1.0 0.0 2.0 0.0 *
2. * 1.0 0.0 2.0 0.0 *
RTU Course "General Sociology"
01129 Sociālo zinātņu katedra
General data
Code HSP377
Course title General Sociology
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Social Science
Responsible instructor Ozolzīle Gunārs
Academic staff Ozolzīle Gunārs
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, RU
Possibility of distance learning Not planned
Maximum auditorium capacity 100
Maximum number of students per semester 200
Abstract The subject teaches about the foundations of a society. It develops the skills necessary for the
analysis of the processes and changes happening in the social reality and of the resulting social
contradictions and problems (class, gender, ethnic and race related). Special attention is paid to
socialization and deviation, as well as to some social institutions: family, religion, education. The
subject matter is analyzed in the context of the history and theories of sociology. In the end of the
course, students are taught the methodology, methodic and techniques of specific sociological
studies.
Goals and objectives of the course in terms of
competences and skills
The aim of the subject is to teach the basic skills necessary for understanding the main regularities
of the functioning of society as a social and cultural system. During the course the students will
gain understanding about the mechanisms of social action, interaction and social relations. Lessons
develop the skills necessary for analyzing and understanding the social processes happening in the
society.
Structure and tasks of independent studies The study course encompasses the following independent tasks: 1. Literature studies; 2. Tests; 3.
Exercises and tests; 4. Seminars and discussions; 5. Practical tasks and exercises.
Recommended literature Ozolzīle G. Socioloģija. Tālmācības studiju kurss. – R.: BVK, 2009.
Ozolzīle G. Socioloģija. Mācību līdzeklis. – R.: RTU, 2006.
Cilvēks un dzīve socioloģijas skatījumā. Zin. red. Zepa B., Zobena A. - R.: LU Socioloģijas
katedra, 1996.
Lakis P. Socioloģija. Ievads socioloģijā. R.: Zvaigzne ABC, 2002.
Mūrnieks E.Vispārējā socioloģija.1,2.daļa. R.: RTU, 1993.
Mūrnieks E. Sabiedrības sociāli ekonomiskā stratifikācija. (Lekciju materiāli “Vispārējās
socioloģijas” kursā). R.: RTU, 2000.
Volkovs V. Socioloģijas teorijas: XIX gadsimts – XX gadsimta sākums. Lekciju kurss. –
Daugavpils: DU Akadēmiskais apgāds „Saule”, 2007.
Briņķis G. Socioloģisko pētījumu organizēšana un metodika. Mācību līdzeklis LSPA studentiem. –
R.: LSPA, 2002.
Pasaules sociologi: vārdnīca. Sast. A.Vilks – R.: SIA „Drukātava”, 2007.
Socioloģijas skaidrojošā vārdnīca. R.: LU Socioloģijas katedra, 1997.
Giddens A. Sociology. 6th edition. – Cambridge: Polity Press, 2009.
Course prerequisites not necessary
237
Courses acquired before
Course outline
Theme Hours
1. What is sociology? 2
2. Overview of contemporary theories related to sociology 2
3. Culture and society 2
4. Social structure 2
5. Socialization and deviation 4
6. Stratification and the class structure of society 4
7. Gender discrimination 2
8. Ethnic and racial discrimination 4
9. Social institutions: family, religion, education 4
10. Social changes 4
11. Design of social studies and data collection methods 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Understanding of the main regularities governing the functioning of society as a social and cultural
system.
Group discussion. Exercises.
Ability to recognize and compare the main theories of sociology. Ability to apply these theories to the
analysis of the social processes taking place in the modern society.
Seminar discussion, final test and regular test
questions.
Knowledge of the main social bodies, their structure and the regularities of their functioning. Group discussion, exercise and test questions.
Ability to discern quantitative and qualitative study methods and to assess the representativity of the
gathered data.
Practical task, exercises.
Final assessment of study results. Final test.
Study subject structure
Part Semester CP Hours per Week Tests
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 1.0 1.0 0.0 *
RTU Course "General Chemistry"
14021 Ķīmijas katedra
General data
Code ĶVĶ109
Course title General Chemistry
Course status in the programme Compulsory/Courses of Limited Choice
Course level Undergraduate Studies
Course type Academic
Field of study Chemistry and Chemical Technology
Responsible instructor Kampars Valdis
Academic staff Kampars Valdis
Volume of the course: parts and credits points 1 part, 2.0 Credit Points, 3.0 ECTS credits
Language of instruction LV, EN
Possibility of distance learning Not planned
Abstract Thermodynamics. Inner energy of a system and its change. Pure substances, mixtures and
materials. Disperse systems and solutions. Water, its use and significance. General properties of
metals. Electrochemistry. Galvanic cells. Sources of current - batteries, accumulators. Chemical and
electrochemical corrosion of metals. Organic compounds. Classes of compounds.
Goals and objectives of the course in terms of
competences and skills
Student has good knowledge of thermodynamic processes and their use, recognises the different
types of disperse systems in nature and technologies, student has good skills of the topics of the
quality of drinkable water and water for domestic use.
Student has gained knowledge of the characteristics of metals used in technology and domestic
238
situations, understands electrochemical processes, can assess the suitability of accumulators and
other chemical sources of current for a specific purpose.
The student has gained knowledge of alternative energy like the use of hydrogen in car engines.
Structure and tasks of independent studies Student prepares the labs independent – develop, execute the protocols and acquire the theoretical
part.
Student prepare independent the home works to several subjects and arrange the colloquiums –
assessment of knowledge about the subject.
Recommended literature 1. McQuarrie, D.A., Rock, P.A. General Chemistry. 2nd ed. New York: W.H.Freeman and
Company, 1997. 876 p.
2. Chang, R. Chemistry. McGraw-Hill Inc. 1991. 516 p.
3. Kokars, V. Vispārīgā ķīmija. Rīga: RTU, KTF, 1999. 209 lpp.
4. Laboratorijas darbi ķīmijā. Augstskolu inženiertehniskajām specialitātēm, vidusskolām un
koledžām. V.Kampars, A.Blūms, V.Brunere, L.Kamzole. Rīga: RTU, 19994. 190 lpp.
5. Laboratorijas darbi ķīmijā. Tehnisko augstskolu studentiem. Sastādījuši: J.Kreicberga,
V.Kampars. Rīga, 2002. 111 lpp.
6. Steigens, A. Nākotne sākas šodien. Rīga: Nordik, 1999. 221 lpp.
7. Ansone,I., Kuhare, G., Puriņa,G. Vides zinību terminu skaidrojošā vārdnīca. LR IZM. Rīga:
Jumava, 1999. 252 lpp.
8. Kļaviņš, M. Vides piesārņojums un tā iedarbība. Rīga: LU, 2009. 199 lpp.
9. Environmental science. L.Ryden, P.Migula, M.Anderson, M.Lehman. Uppsala: The Baltic
University Press, 2003. 824 p.
Course prerequisites „General chemistry’’ or ‘’Chemistry’’ in secondary education programmes
Courses acquired before
Course outline
Theme Hours
Thermodynamics. Inner energy of a system and its change. Heat effects of processes. 2
Pure substances, mixtures and materials (FCIT). Chemical kynetics (FET) 2
Disperse systems and solutions. Acids and bases. Water solutions. pH. 2
Water, its use and significance (FCIT). General properties of metals (FET). 2
Electrochemistry. Galvanic cells. Sources of current - batteries, accumulators. Fuel cells and energetic of hydrogen. 2
Principles of electrochemical corrosion of metals and protections methods. 2
Organic compounds. 2
Inorganic compounds. 2
Seminar about the classes of inorganic compounds. Work safety instruction. 2
Nomenclature of inorganic compounds - colloquium. 2
Chemical termodynamics, heat effect of reactions. 2
Quality of water. Control of pH, conductivity, hardness (FCIT). Chemical properties of metals (FET). 2
Chemical properties of metals (FCIT). General properties of metals - colloquium (FET). 2
Electrochemistry. Galvanic cell, electromotive force. Corrosion of metals. 2
Fuel cell. Fuel cell automobile. 2
Organic compounds 2
Learning outcomes and assessment
Learning outcomes Assessment methods
Student is able:
To evaluate processes of thermodynamics, its energetic effects, to compare energetic capacity of
substances, to evaluate dynamics of chemical equilibrium
Processing and defence of laboratory works
To give examples of disperse systems in domestic situations and technologies Processing and defence of laboratory works
To analyse the quality of drinking water and water for use in technological processes, evaluate its
contamination
Processing and defence of laboratory works
Illustrate properties of metals and their significance in electrochemical processes Processing and defence of laboratory works
To evaluate significance of chemical sources of current and suitability for existing situation Processing and defence of laboratory works
Study subject structure
Part Semester CP Hours per Week Tests
239
Autumn Spring Summer Lectures Practical Lab. Test Exam Work
1. * * 2.0 1.0 0.0 1.0 *