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BSc Data Science and Analytics (CK411) Handbook · Web viewThe BSc Data Science and Analytics is...

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School of Computer Science and Information Technology Department of Statistics BSc Data Science and Analytics (CK411) Handbook 0
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BSc Data Science and Analytics (CK411) Handbook

ContentsIntroduction1Message regarding Covid 191Semester Dates 2020-213Course Outline3Course Delivery3Course Practicalities3Course Coordinators3Course Details4Year 1 Modules – 60 credits4Timetables4Plagiarism4UCC policy on plagiarism4Submitting existing software5Submitting work from others5Citing existing software5Attendance6IT Support for BSc DSA6Computer Science Lab Support6Statistics Lab Support6Health & Safety Guidelines for Students6Emergency evacuation drills/fire alarms6School First Aider6Laboratories7UCC Policies and Procedures7Contact Details8School of Computer Science and Information Technology8School of Mathematical Sciences8List of Lecturing Staff9School of Computer Science and Information Technology9School of Mathematical Sciences10Important Website Links11

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Introduction

University College Cork (UCC) has a very important place in the history of Information Technology as Boolean algebra, which provides the mathematical basis for computer design, was named after George Boole, the first Professor of Mathematics in UCC.

Data Science & Analytics focuses on new ways to capture and understand data from the world around us, to make better decisions for people, communities and industry. The BSc in Data Science & Analytics at UCC provides an education in data storage, manipulation and interpretation using mathematical sciences and computational methods to solve complex real-world problems.

The BSc Data Science and Analytics is jointly coordinated by the School of Computer Science and Information Technology and the Department of Statistics, within the School of Mathematical Sciences.

Both Schools are located in the five-storey Western Gateway Building. The building includes state-of-the-art teaching laboratories, world-class research laboratories and is designed to achieve an environment that will encourage staff and students to be both productive and creative.

Message regarding Covid 19

The world is in an unprecedented place regarding the health and welfare of our people. Ireland and UCC are working hard to control the virus, COVID 19 and have measures in place to minimise its effects. Controlling the virus is a joint responsibility and we are asking you to take your responsibility seriously and follow national and UCC guidelines.

For reliable information, please refer to national and UCC sources of information only:

University College Cork will post information for students on it FAQ’s page: https://www.ucc.ie/en/emt/covid19/student-faq/

Health Service Executive: https://www2.hse.ie/coronavirus/

Health Protections Surveillance Centre: https://www.hpsc.ie/a-z/respiratory/coronavirus/novelcoronavirus/

Coronavirus (Covid 19) https://www.gov.ie/en/campaigns/c36c85-covid-19-coronavirus/

At all times, students are expected to observe the national guidelines to reduce the spread of Covid 19:

· physical distancing

· coughing and sneezing etiquette

· handwashing with soap and water for at least 20 seconds; How to clear your hands – HSE video.

If have the symptoms of COVID 19 or suspect that you have them, DO NOT COME TO THE UNIVERSITY, contact your GP or UCC Health on 021 4902311 and follow their advice. For emergencies, call 112 or 999.

Please be aware that the situation regarding the virus, COVID 19, is dynamic and advice and guidelines may change from time to time.

Please be assured that the school of Computer Science and Information Technology and the School of Mathematical Sciences are working constantly to protect its staff and students as far as practically possible. In addition to you programme coordinator and lecturers, UCC have may services available to support students.

Semester Dates 2020-21

Autumn Semester (Semester 1): 

Monday 28th September – Friday 18th December 2020 

Christmas Recess:

Saturday 19th December – Sunday 3rd January 2021

Study Period:

Monday 4th January – Friday 8th January 2021

Semester 1 Assessments

Friday 8th January – Monday 18th January 2021

Spring Semester (Semester 2):

Monday 25th January – Friday 23rd April 2021

Easter Recess:

Friday 2nd April – Sunday 11th April 2021

Study Period:

Monday 26th April – Thursday 29th April 2021

Final Examinations:

Friday 30th April – Friday 14th May 2021

Course Outline

In first year, students study the statistical, mathematical and computational foundations of data science and analytics.

Course Delivery

Due to coronavirus, COVID 19, lecturers will be delivered in different formats and subject to change if government and or UCC impose restrictions:

1. on campus (face to face)

2. online synchronous (live)

3. online asynchronous (pre-recorded)

4. blended – a combination of the above

Vital information relating to your course is held on the Canvas system at https://www.ucc.ie/en/canvas/ and is regularly updated by your lecturers. You will submit assessments via Canvas or as directed by your lecturer. Details on logging on to Canvas can be found in the IT services: student guide that can be accessed at https://www.ucc.ie/en/sit/services/

If you are experiencing any difficulties please email the Student Helpdesk at [email protected] or the Learning Technology Unit at [email protected].

Details of the online resources available and the mechanisms for gathering in assignments, etc., will be given during the introductory lectures for individual modules.

Course Practicalities

This is a full-time course expecting a full-time commitment. The annual 60-credits workload typically equates to 12 hours of lectures per week and a comparable amount for laboratory work and tutorials.

Expected reading/practical hours: The course also demands a significant amount of additional time for study, reading, completion of project and assignment work.

Course Coordinators

The course has a coordinator from both Schools who work together to ensure that modules, timetables etc. are synchronised.

School of Computer Science and Information Technology: Prof Gregory Provan, Office No. 1.71 ([email protected])

Department of Statistics: Dr Michael Cronin, Office No. 1.47 ([email protected]).

Course Details

The BSc Data Science and Analytics is a four-year honours degree programme with a six-month mandatory work placement in third year running from spring until August.

Year 1 Modules – 60 credits

Core Modules – 55 credits

Credits

Semester

Lecturer

CS1106 Introduction to Relational Databases

5

1

Dr Kieran Herley

CS1112 Foundations of Computer Science I

5

1

Prof. Barry O’Sullivan

CS1113 Foundations of Computer Science I

5

2

Prof. Barry O’Sullivan

CS1117 Introduction to Programming 

15

1 & 2

Dr Aisling O’Driscoll

AM1054 Mathematical Software 

5

1

Dr Andreas Amann

MA1058 Introduction to Linear Algebra

5

1

Dr Claus Koestler

MA1059 Calculus

5

1

Dr Tom Carroll

ST1050 Statistical Programming in R

5

2

Dr Fengyun Gu

ST1051 Introduction to Probability and Statistics 

5

2

To be Confirmed

Elective Modules – 5 credits

AM1053 Introduction to Mathematical Modelling

5

2

Prof Sebastian Wieczorek

ST1401 Introduction to Operations Research

5

1

Ms Maria Teider

Timetables[footnoteRef:1] [1: Disclaimer: Due to the Coronavirus (COVID-19) pandemic, no guarantee is given that lecture delivery may not be altered, cancelled, replaced, or augmented or otherwise amended.]

The BSc Data Science and Analytics starts on 28th September 2020.

The BSc Data Science and Analytics first year timetable contains information on your lecturers and modes of delivery.

Please note that the timetables may have to be altered and updated due over the first weeks of Semesters I and II; laboratory timetables are scheduled later.

Plagiarism

Plagiarism is the presentation of someone else's work as your own. When done deliberately, it is cheating, since it is an attempt to claim credit for work not done by you and fails to give credit for the work of others. Plagiarism applies not just to text, but to software, graphics, tables, formulae, or any representation of ideas in print, electronic or any other media.

UCC policy on plagiarism

All students are required to read, to understand, and to comply with the UCC Policy on Plagiarism, which may be found on line at www.ucc.ie/en/exams/procedures-regulations/

Submitting Original and Existing Work

In general, you should write all coursework in your own words.

Coursework includes but not limited to:

· Programming assignments;

· Literature reviews;

· Abstracts and summaries;

· Thesis.

Submitting existing software

As a general rule:

· For assignments you are not allowed to submit existing software unless the lecturer clearly indicates that this is allowed. Please consult with your course lecturer if you are unsure whether you are allowed to submit existing software for assignments.

· For your thesis, you are usually allowed to submit (small) parts of existing software. Please consult with your project supervisor if you are unsure whether you are allowed to re-use existing software for your thesis.

Submitting work from others

If you wish to quote small portions of text, include images, software, or other work created by others, you need to make it clear that you are doing so. You usually do this by putting quotation marks around quoted text and by including citations. Please note that pictures and diagrams in books and papers may be copyrighted, in which case you need explicit permission from the copyright holder.

Please note that if you acknowledge the original source, your lecturers/examiners will know that you are aware of the source, for which you can receive credit in the form of marks. If you fail to acknowledge the source, your lecturers/examiners cannot give you any credit for using the source. When failing to acknowledge the source is a deliberate, this is a form of cheating, which may result in awarding a zero mark.

Citing existing software

As with any work written by others, if you submit (parts of) existing software as part of your coursework, you should always give proper credit to the original author(s). In addition, you should clearly indicate which parts of these software are yours and which are not.

· In a program listing you should indicate this using comments;

· In a report, literature review, or thesis you should also indicate the source of the software in the running text, which should include a proper citation.

Attendance

Every registered student is expected to attend all teaching elements of their programme, including, but not limited to, lectures, tutorials, laboratory classes, placements, etc.

In the case of absence through illness, a student must, if possible, give notice of each absence in writing to the Lecturer concerned and/or Head of School/Department responsible.

In the case of such absence for more than four lecture days, the student must, on resuming attendance, notify the Lecturer concerned and/or Head of School/Department in writing and, if appropriate, lodge a medical certificate with the Head of School/Department, who will provide a copy for the Student Records and Examinations Office.

A student will not be permitted to enter for an examination if a specified attendance requirement of a module has not been met, or if attendance by the student is not considered satisfactory by the Deputy President and Registrar following a report by the Lecturer and/or Head of School/Department responsible for the module. The decision of the Deputy President and Registrar is subject to appeal to Academic Council.

IT Support for BSc DSAComputer Science Lab Support

If you have any IT queries regarding the Computer Science Labs you should contact the Computer Science IT Support Desk via email at [email protected]. You can visit the Computer Science IT Support webpage for helpful technical guidance http://www.cs.ucc.ie/help

Statistics Lab Support

If you have any IT queries regarding the Statistics Labs, please see the “IT Help for Students” link at: www.ucc.ie/en/matsci or contact us at [email protected] .

Please note that you should use your entire UCC student email address and password to log onto pcs within our labs.

Your statistics lecturers will assist you with software queries.

Health & Safety Guidelines for Students

Students and staff are at all times expected to adopt a responsible attitude to all matters concerning health and safety at UCC. Under the current Safety, Health and Welfare at Work Act students/staff have a legal responsibility to consider their own safety, must cooperate at all times in implementing laboratory safety policy of UCC, must use the safety equipment provided, must report accidents or unsafe practices and must not interfere with the school safety policy.

It is expected that students will adhere strictly to the instructions of academic, technical and research staff when carrying out practical work.

Emergency evacuation drills/fire alarms

If the fire alarm sounds please leave the building as quickly as possible by the nearest exit and follow instruction of the fire marshals.

School First Aider

Contact School Office ext. 5891

Laboratories

· Food and beverages are not allowed in the laboratories – food contamination on the mouse and keyboards are serious health risk

· Remove all trip hazards (rucksacks, clothing etc.) from walking areas

· Please remove all items from the laboratory when you are leaving

· Do not provide access to the laboratory to other non-Computer Science students

· Report any hazards (obstacles, cables, etc.) to School Office, Rm 1.28

· Note the UCC acceptable usage policy regarding online usage. See link listed below.

· Pay attention to existing signage in the laboratories

· If you find items in labs that do not belong to you, please bring to the School Office, Rm 1.28

· Please remember that the laboratories are a working environment and noise should be kept at a minimum

· Dispose of all waste in the refuse bins provided

UCC Policies and Procedures

There are many important policies and procedures with which Students should be familiar. See the below for information on each one.

Policies and Procedures http://www.ucc.ie/en/students/policies/

Acceptable Usage Policy https://www.ucc.ie/en/it-policies/policies/au-pol/

Student Health Service https://www.ucc.ie/en/studenthealth/

UCC Emergency Tel. 021-490[3111]

This document is provided as a guideline only, if you have any concerns, please contact the School Office; Tel: 021 420 5892, email: [email protected]

Contact DetailsSchool of Computer Science and Information Technology

The School Office is situated in Room 1.28 on the First Floor of the Western Gateway Building.

Contact Details:

Margaret Hynes/Julie Walsh

Phone: +353 21 4205892

Email: [email protected]

The School Office opening hours is from 9.00 a.m. – 1.00 p.m. and 2.00 p.m. – 5.00 p.m. Monday – Friday to help you with any queries.

Attendance in person at the office is by appointment only.

School of Mathematical Sciences

The School Office is situated in Room 1.28 on the First Floor of the Western Gateway Building.

Contact Details:

Michelle Glynn

Phone: +353 21 4205817

Fax: +353 21 4205367

Email: [email protected]

The School Office opening hours is from 9.00 a.m. – 1.00 p.m. and 2.00 p.m. – 5.00 p.m. Monday – Friday to help you with any queries.

The School Office is situated in Room 1.57 on the First Floor of the Western Gateway Building.

List of Lecturing StaffSchool of Computer Science and Information Technology

Lecturing Staff

Email

Dr Alejandro Arbaelez

[email protected]

Dr Frank Boehme

[email protected]

Dr Derek Bridge

[email protected]

Prof. Ken Brown

[email protected]

Dr Laura Climent

[email protected]

Dr James Doherty

[email protected]

Dr Dan Grigoras

[email protected]

Dr John Herbert

[email protected]

Dr Kieran Herley

[email protected]

Dr Maurizio Mancini

[email protected]

Dr Laura Maye

[email protected]

Dr Rosane Minghim

[email protected]

Prof. John Morrison

[email protected]

Mr David Murphy

[email protected]

Dr Aisling O’Driscoll

[email protected]

Dr John O’Mullane

[email protected]

Mr Adrian O’Riordan

[email protected]

Prof. Barry O’Sullivan

[email protected]

Dr Paolo Palmieri

[email protected]

Prof. Dirk Pesch

[email protected]

Dr Ian Pitt

[email protected]

Dr Steve Prestwich

[email protected]

Prof. Gregory Provan

[email protected]

Dr Jason Quinlan

[email protected]

Prof. Utz Roedig

[email protected]

Mr Gavin Russell

[email protected]

Prof. Michel Schellekens

[email protected]

Mr Humphrey Sorensen

[email protected]

Prof. Cormac J. Sreenan

[email protected]

Dr Klass-Jan Stol

[email protected]

Dr Sabin Tabirca

[email protected]

Dr Marc van Dongen

[email protected]

Dr Ahmed Zahran

[email protected]

School of Mathematical Sciences

Lecturing Staff

Email

Alkhayuon, Hassan

[email protected]

Amann, Andreas

[email protected]

Carroll, Tom

[email protected]

Cronin, Michael

[email protected]

Daly, Linda

[email protected]

Dendrinos, Spyridon

[email protected]

Fitzgerald, Tony

[email protected]

Floyd, Liam

[email protected]

Gilmore, Clifford

[email protected]

Hally, Maeve

[email protected]

Hanzon, Bernard

[email protected]

Hawchar, Lara

[email protected]

Hayes, Kevin

[email protected]

Henry, David

[email protected]

Hoevel, Philipp

[email protected]

Huang, Jian

[email protected]

Jalali, Amir

[email protected]

Keane, Andrew

[email protected]

Kelly, Cónall

[email protected]

Kiely, Finbarr

[email protected]

Kilian, Martin

[email protected]

Koestler, Claus

[email protected]

Krishnan, Arundhathi

[email protected]

Moghaddam, Shirin

[email protected]

Mota Sanchez, Eduardo

[email protected]

Mulchrone, Kieran

[email protected]

Mustata, Anca

[email protected]

Mustata, Andrei

[email protected]

O'Keeffe, Henry

[email protected]

O'Sullivan, Finbarr

[email protected]

O'Sullivan, Kathleen

[email protected]

Quirke, Martin

[email protected]

Ranade, Akshay

[email protected]

Roy, Supratik

[email protected]

Teider, Maria

[email protected]

Vitturi, Marco

[email protected]

Wieczorek, Sebastian

[email protected]

Wills, Stephen

[email protected]

Wolsztynski, Eric

[email protected]

Important Website Links

Book of Modules: http://www.ucc.ie/modules/

College Calendars: https://www.ucc.ie/admin/registrar/calendar/science/sci027.html#CK411

Examinations: http://www.ucc.ie/en/exams/

Fees: http://www.ucc.ie/en/financeoffice/fees/

Marks and Standards: http://www.ucc.ie/admin/registrar/marksandstandards/

Registration: http://www.ucc.ie/calendar/general/info014j.html

(includes information on the following)

· General

· Address details

· Identity ID cards

· Workload Guidelines

· Attendance

· Elective Modules

· Change of Module/Subject

· Special Permission to depart from published regulations

· Attendance at additional modules

· Student Leave of Absence

· Withdrawal from course programme during the academic year

· Fees Refund – Fees Office

· Attendance in a repeat year

· Transcripts


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