+ All Categories
Home > Documents > Master of Science Program in Finance International Program...

Master of Science Program in Finance International Program...

Date post: 24-Jan-2020
Category:
Upload: others
View: 3 times
Download: 0 times
Share this document with a friend
14
Master of Science Program in Finance (International Program) Thammasat Business School Course Syllabus Semester / Academic Year: Pre-course 2017 MF 501 Mathematics for Finance I (MIF#19) Instructor: Pantisa Pavabutr Email: [email protected] Office hours: by appointment Materials Covered: Objectives: This course aims to provide financial mathematical background for students entering the graduate program in finance. The course content includes the concept of time value of money and its applications especially for use in the area of financial asset valuation and capital budgeting; the rudiments of probability theory and statistics relevant to the theory of investment and introductory linear algebra involving matrix operation such as determinant and inverse of matrix. Introduction to optimization with applications in portfolio choice, economics of decision making, and econometrics. Main text: Pantisa Pavabutr, Mathematics for Financial Applications, 2017. Supplemental reading list: Andrilli, and Hecker, Elementary linear algebra, Harcourt. 1999 Defusco, McLeavey, Pinto, and Runkle, Quantitative investment analysis, 2004, Second edition Maths tool box Applications Time value of money Investment and savings problems, capital budgeting, loans, and cost of capital Probability theory and statistics Capital budgeting under uncertainty, valuation risk, distributions of asset returns Matrix algebra Portfolio investment performance and risk Optimization Optimal portfolio selection, Economics of decision making, econometrics
Transcript
Page 1: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Master of Science Program in Finance (International Program)

Thammasat Business School

Course Syllabus

Semester / Academic Year: Pre-course 2017

MF 501 Mathematics for Finance I (MIF#19)

Instructor: Pantisa Pavabutr

Email: [email protected]

Office hours: by appointment

Materials Covered:

Objectives:

This course aims to provide financial mathematical background for students entering the graduate

program in finance. The course content includes the concept of time value of money and its

applications especially for use in the area of financial asset valuation and capital budgeting; the

rudiments of probability theory and statistics relevant to the theory of investment and introductory

linear algebra involving matrix operation such as determinant and inverse of matrix. Introduction to

optimization with applications in portfolio choice, economics of decision making, and econometrics.

Main text: Pantisa Pavabutr, Mathematics for Financial Applications, 2017.

Supplemental reading list:

Andrilli, and Hecker, Elementary linear algebra, Harcourt. 1999

Defusco, McLeavey, Pinto, and Runkle, Quantitative investment analysis, 2004, Second edition

Maths tool box Applications

Time value of money Investment and savings problems, capital

budgeting, loans, and cost of capital

Probability theory and statistics Capital budgeting under uncertainty, valuation

risk, distributions of asset returns

Matrix algebra Portfolio investment performance and risk

Optimization Optimal portfolio selection, Economics of

decision making, econometrics

Page 2: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Tentative Schedule

Week/Date Topics Activities/

Text&Materials

#1: March 5: 13.00-16.00

Room 213

Overview of mathematics and finance

Time value of money and applications

in personal finance, corporate finance, and

investments.

Chapters 1 and 2

#2: March 18: 9.00-12.00

Room 205

Capital budgeting Chapter 3

#3: March 25: 9.00-12.00

Room 307

Probability theory Chapter 4

#4: March 29: 18.00-21.00

Room To be announced

Distributions of random variables Chapter 5

#5: April 1: 9.00-12.00

Room 208

Excel applications

Mortgage problems

Computing cost of capital

Distributions and parameters

Resampling procedures

Computer practice: Bring

your lap top to class

#6: April 8: 9.00-12.00

Room 208

Excel applications continued:

Matrix algebra

Chapter 6

Computer practice: Bring

your lap top to class

#7 April 22: 9.00-12.00

Room 208

Optimization Chapter 7

Page 3: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Master of Science Program in Finance (International Program)

Thammasat Business School

Course Syllabus

Semester / Academic Year: Pre-course 2017

MF 502 Mathematics for Finance II (MIF#19)

Instructor: Assistant Professor Supranee Lisawadi, Ph.D.

Email: [email protected], [email protected]

Required Textbooks: James Stewart, Calculus, 8th ed., Thomson Brooks/Cole, 2016.

Supplement Textbooks:

1. [EMEA] Knut Syds_ter and Peter Hammond, Essential Mathematics for Economic

Analysis, 3rd ed., Prentice-Hall, 2008.

2. [FMME] Alpha C. Chiang and Kevin Wainwright, Fundamental Methods of Mathematical

Economics, 4th ed., McGraw-Hill, 2005.

Course Description:

This course provides the mathematical background in calculus necessary to understand how

mathematical techniques are used in finance. The course includes relevant topics in calculus, such as

functions, limits and continuity, the derivatives, analysis of functions, applications of derivatives, and

integration and principles of integral evaluation, etc.

Objectives:

The objective of this pre-course is to teach the students to be able to solve basic optimization

problem using calculus, hence, the course will focus on solving and practicing rather than proving

theories.

Final Exam:

The final exam is scheduled on Saturday, May 6th 2017 (9.00am – 12.00pm). The final exam is closed

book exam and it covers every topics studied in this pre-course.

Tentative Schedule:

Date Time Topic Note

Sun. Mar 12, 2017 09:00a.m. - 12:00p.m. Limits Ch. 2

Sun. Mar 19, 2017 09:00a.m. - 12:00p.m. Derivatives Ch. 3

Wed. Mar 22, 2017 06:00p.m.- 09:00p.m. Applications of Differentiation Ch. 4

Sun. Mar 26, 2017 09:00a.m. - 12:00p.m. Applications of Differentiation Ch. 4

Sun. Apr 2, 2017 09:00a.m. - 12:00p.m. Integrals Ch. 5

Sun. Apr 9, 2017 09:00a.m. - 12:00p.m. Technique of Integration Ch. 7

Sun. Apr 23, 2017 09:00a.m. - 12:00p.m. Partial Derivatives Ch. 14

Sat May 6, 2017 09:00a.m. - 12:00p.m. Final Examination

Page 4: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Master of Science Program in Finance (International Program)

Thammasat Business School

Course Syllabus

Semester / Academic Year: Pre-course 2017

MF503 Basic Econometrics (MIF#19)

Course Description

This course emphasizes on statistical concepts needed for study and understanding econometrics.

Statistical concepts include descriptive statistics, inferential statistics, and probability distribution

theories. The course focuses on basic concept in regression analysis including the Ordinary Least

Squares (OLS) estimation method, hypothesis testing of parameters, dummy variables regression

model, and predicting of both simple and multiple regression models.

This course also focuses on the applications of econometrics software to estimate financial models.

The students will learn about the sources of economic and finance data, how to prepare the data for

the econometrics software, formulate the model and estimate the model using Ordinary Least Square

method. The course enables the students to interpret the estimation results generated by econometrics

software.

Objectives

This course aims to introduce statistics and econometrics methodologies. The objective is to prepare

students for graduate level empirical research. Statistics methodology focuses mainly on probability

theory, statistical estimation, hypothesis testing, analysis of variance, and correlation. Econometrics

methodology emphasizes on model formulation, estimation method, and applications of the model.

The course also aims to have students learn how to use computer software to analyze survey data,

estimate and interpret econometric models by letting students work on empirical assignments

concerning on each topic.

Instructor

Name: Associate Professor Tatre Jantarakolica, Ph.D.

Office: Room #9 Faculty of Economics, Thammasat university (Tha-pra chan)

E-mail: [email protected]

Required Text:

Lind, D.A., Marchal, W.G., & Wathen, S.A. (2008). Statistical Techniques in Business & Economics. 13th

ed. Singapore: McGraw-Hill.

Gujarati, D.N. & Porter, D.C. (2009). Basic Econometrics. 5th ed. Singapore: McGraw-Hill, Inc.

Berndt, E.R. (1991). The Practice of Econometrics: Classic and Contemporary. New York: Addison-Wesley

Publishing. (Chapter 2)

Additional Text:

Baltagi, B.H. (2002). Econometrics. 3rd ed. Berlin: Springer-Verlag.

Dougherty, C. (2002). Introduction to Econometrics. 2nd ed. Oxford: Oxford University Press.

Greene, W.H. (2003). Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall.

Page 5: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Hill, R.C., Griffiths, W.E., & Judge, G.G. (2001). Undergraduate Econometrics. 2nd ed. New York, NY:

John Wiley & Sons, Inc.

Johnston, J., & DiNardo, J. (1997). Econometric Methods. 4th ed. Singapore: McGraw-Hill.

Pindyck, R.S., & Rubinfeld, D.L. (1998). Econometric Models and Economic Forecasts. 3rd ed.

Singapore: McGraw-Hill.

Wooldridge, J.M. (2006). Introductory Econometrics: A Modern Approach. 3rd ed. Mason, OH:

Thomson South-Western.

Grading

Assignments 30%

Computer Lab Exam 20%

Final 50%

Course Outline:

1. Bivariate Statistical Analysis

Basic Statistics

Descriptive Statistics

- Frequency

- Describing Data

Inferential Statistics

- Survey of Probability Concepts

- Discrete Probability Distribution

- Continuous Probability Dist.

- Normal Probability Distribution

Hypothesis Testing

- Sampling Methods

- Central Limit Theorem

- Confidence Interval

Parametric Tests

- One-Sample Tests of Hypothesis

- Two-Sample Tests of Hypothesis

- Analysis of Variance

- Covariance and Correlation

Nonparametric Tests

2. Linear Regression Models

Econometrics Methodology

Estimation Method

Estimated Result Interpretations

Hypothesis Testing

Dummy Variables Regression Model

3. Problems – Violation of OLS assumptions

Multicollinearity

Specification Errors

Autocorrelation

Heteroscedasticity

4. Least Squares Estimation Methods – Matrix Approach

Page 6: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Class Schedule

Date/Time Topics Reading Assignment

1 9/3/2017

18:00-21:00

1. Bivariate Analysis

Introduction to Statistics

Descriptive Statistics

- Frequency

- Describing Data

Lind 1-4

Assignment 1

2 16/3/2017

18:00-21:00

Inferential Statistics

- Probability Concepts

- Normal Probability Distribution

Parametric Hypothesis Testing

- One-Sample Tests of Hypothesis

- Two-Sample Tests of Hypothesis

- Analysis of Variance (ANOVA)

- Covariance and Correlation

Lind 5-10

3 23/3/2017

18:00-21:00

Nonparametric Hypothesis Testing

Lind 15-16

4 30/4/2017

18:00-21:00

2. Linear Regression Model

Econometrics Methodology

Estimation Method

- OLS

- Assumptions

G. 1-4

Assignment 2

5

Fri.7/4/2017

18:00-21:00

Estimated Result Interpretations

- Meaning of Coefficients

- Overall Test

- R-squares

- Individual Test

G. 5-7

6 20/4/2017

18:00-21:00

Hypothesis Testing

Dummy Variable Technique G. 8-9

7

Fri.21/4/201

7

18:00-21:00

3. Problems

Violation of OLS assumptions

Multicollinearity

Specification Error

G. 7-8

Assignment 3

8 27/4/2017

18:00-21:00 Autocorrelation G. 9

9 4/5/2017

18:00-21:00 Heteroskedasticity G. 10 - 12

10 11/5/2017

18:00-21:00

Least Squares Estimation Methods

Matrix Approach G. 13

Tue. 16/5/2017

18:00-21:00 Final

Thu. 18/5/2017

18:00-21:00 Lab Exam

Page 7: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Master of Science Program in Finance (International Program)

Thammasat Business School

Course Syllabus

Semester / Academic Year: Pre-course 2017

MF 504 Basic Economics (MIF#19)

Course Description

This course provides the tools of basic economics analysis including the concepts of opportunity costs,

choice, and supply and demand. It also covers macroeconomics which looks at large issues such as

economic growth, inflation, unemployment, fiscal and monetary policies and issues affecting the

entire economy.

Objectives

It is the goal of the course for the students to understand:

What a market is, how we determine the boundaries of a market, and measure market price.

How a competitive market works and how supply and how demand determine the prices and

quantities of goods and services. We also show how supply and demand analysis can be used to

determine the effects of changing market conditions, including government intervention.

How consumers make consumption decisions, how their preferences and budget constraints

determine their demand for various goods.

How firms combine inputs to produce goods and services in a way to minimize the costs of

production. We then show how firms choose profit-maximizing rates of production.

How to apply supply and demand curves to the analysis of competitive markets. How

government policies can have wide-ranging effects on consumers and producers.

Instructor

Name: Associate Professor Dr. Chaiyuth Punyasavatsut

Office: Room 7, fourth floor 60th anniversary building, Faculty of Economics

E-mail: [email protected]

Tel: 081-400-1544

Class Venue

Tuesday. Time: 06:00 p.m. - 09:00 p.m.

Main Text:

Pindyck, Robert S. and Rubinfeld, Daniel L. (2012) Microeconomics. 8th Edition, Pearson Prentice

Hall.

Page 8: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Supplementary Reading for fun:

Harford, Tim (2005) The Undercover Economist. Oxford University Press.

Harford, Tim (2008) The Logic of Life: The Rational Economics of an Irrational World.

Random House.

Lewitt, Steven D. and Stephen J. Dubner (2009) Freakonomics: A Rogue Economist Explores

the Hidden Side of Everything

Online Resources:

www.prenhall.com/pindyck

www.economist.com/ The Economist

repec.org/ RePEc: Research Papers in Economics

www.afajof.org The American Finance Association, publishers of the Journal of Finance.

http://www.Rfe.org American Association Web, resources for Economists on the Internet.

http://www.jfe.rochester.edu/ Journal of Financial Economics

http://depts.washington.edu/jfqa/ Journal of Financial and Quantitative Analysis

Blogspot:

G. Mankiw http://gregmankiw.blogspot.com/2012/03/macro-8e.html

Gary Becker-Richard Posner http://www.becker-posner-blog.com/

Steven Lewitt and Stephen Dubner http://freakonomics.com/blog/

Grading

Three Assignments. 60%

One Examination. 40%

Page 9: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

Schedule of Classes

Sessions Date Topics Reading

1

Tue. Mar 7 Introduction: Markets and Price:

Basics of Supply and Demand

Basics of Supply and Demand

- Supply curve

- Demand curve

Market Equilibrium

Change in Market equilibrium

Chapter 2:

2.1-2.4

2 Tue. Mar 14 Basic of Supply and Demand (continued.)

Elasticities of supply and demand

Short-run and long-run elasticities

Effects of Government Interventions

Applications

2.4—2.7

Assignment 1

3

Tue. Mar 21

Consumer Behavior

Consumer Preferences

Budget Constraints

Consumer’s choices

Individual demand

Individual and Market Demand

Income and Substitution Effects

Market Demand

Chapter 3 & 4

4 Tue. Mar 28

Optimization with Constraint : Utility maximization

problem

Chapter 3

appendix

Assignment 2

5

Tue. Apr 4 Production

Firms Decision

Production Technology

Production with one variable input

Production with two variable inputs

Cost of Production

Measuring Cost, Short-run, long-run

Long-run and short-run cost curves

Optimization with constraint: Cost Minimization

problem

Chapter 6 & 7

6 Tue. Apr 18

Profit Maximization and Competitive Supply

Perfectly Competitive Markets

Profit Maximization decision

Choosing outputs in the short run

Short-run Market Supply Curve

Choosing output in the long run

Optimization with constraint: Profit Maximization

Chapter 8

Assignment 3

Page 10: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

7 Mon. Apr 24

***

The Analysis of Competitive Markets

Evaluating gains and losses from government

policies—consumer surplus and producer surplus

Efficiency of a Competitive market

Minimum Wages

Chapter 9

8 Tue. Apr 25 Imperfect Competition: Market Power

Price and Output Setting Under Monopoly

Price discrimination

Chapter 10

Final Exam: Tuesday May 9, 2017 06:00 p.m. – 09:00 p.m. Room 205

Page 11: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

1

Master of Science Program in Finance (International Program)

Thammasat Business School

Course Syllabus

Semester / Academic Year: Pre-course / 2017

MF505 Fundamental Accounting and Finance (MIF#19)

I. General Information Course Title: MF505 Fundamental Accounting and Finance Course description: This course explores foundations of accounting and finance. These include

the function of accounting in identifying, recording and classifying financial transaction and preparation of financial statements. This course also includes basic finance such as financial ratio analyses and studying the functions of finance.

Course Credit: 1.5 credits. Prerequisite: None. Instructor #1: Assistant Professor Dr. Orapan Yolrabil Contact information: [email protected]

Office of Associate Deans 0-2613-2201

Instructor #2: Assistant Professor Dr. Chaiyuth Padungsaksawasdi Contact information: [email protected]

Room TBS#556 TBS Building 0-2613-2283

Course Coordinator: Assistant Professor Dr. Orapan Yolrabil Facebook Group: http://www.facebook.com/groups/MF505.MIF.P.2017/

Please join class FB group for better communication between instructors and students.

Weekday: Class Dates: Mondays and Wednesday Class Time: 06:00 p.m. - 09:00 p.m. Class Venue: TBS Building Weekend: Class Dates: Saturdays and Sundays Class Time: 01:00 p.m. - 04:00 p.m. Class Venue: TBS Building

Please include the following title in the subject area of your email sending to us “MF505-MIF-P-2017”

[course number-program-semester-academic year]. For example, if you would like to ask questions related to Financial Statements,

you can send email with the title “MF505-MIF-P-2017: Questions about Financial Statements”.

Page 12: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

2

II. Course objectives and relevance Key learning objectives: The purposes of this course are as follows:

2.1. To discuss the role of accounting and financial statements as a window through which to see how economic events affect business.

2.2. To introduce the accounting conceptual framework as well as accounting procedures. 2.3. To discuss the tools and techniques in performing financial statement analysis. 2.4. To familiarize students with the basic concepts of finance.

Development and relevance: Accounting is a business language. Thus, understanding accounting information is a key in understanding business. Moreover, the accounting information is an essential input for financial analysis. The first part of this pre-course is, therefore, intended to acquaint students to accounting and financial information in financial statements. Finally, since some students have very limited prior exposure to finance, the second part of the pre-course serves students as a basic foundation in finance for their future rigorous finance coursework. III. Method of Delivery This class employs the following approaches to learning:

3.1. Class lecture 3.2. Class discussion 3.3. Practices

IV. Knowledge domain

Knowledge domains Corresponding topics or class activities

Evaluation/ Percentage of total assessment (%)

4.1. Ethical and professional standards

Lecture and class discussion

All aspects of knowledge domains will be tested in the quizzes (20%) and a final exam (80%). Moreover, the additional assignments on the related topics will be given in class.

4.2. Body of knowledge

Lecture, class discussion, and practices

4.3. Analytic thinking Lecture, class discussion, and practices

4.4. Interpersonal skills Class discussion made in group

4.5. Quantitative and computer skills

Practices

Page 13: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

3

V. Course schedule and assessment

Session Topic

Part I: Accounting (Assistant Professor Dr. Orapan Yolrabil) Sessions 1-4: (1) Saturday, March 11, 2017, Time 01:00 p.m. - 04:00 p.m. Room 205 (2) Sunday, March 12, 2017, Time 01:00 p.m. - 04:00 p.m. Room 207 (3) Saturday, March 25, 2017, Time 01:00 p.m. - 04:00 p.m. Room 307 (4) Sunday, March 26, 2017, Time 01:00 p.m. - 04:00 p.m. Room 207

Course overview Accounting and business decisions; Functions of accounting; Users; Accounting information; Accounting system; Business activities; Business transactions

Annual Reports and Financial Statements Accounting framework: Policies and Principles applied; Annual reports; Financial statements: Statement of financial position, Statement of income, Statement of changes in owners’ equity, Statement of cash flows; Financial statement articulation; Financial statement presentation and note disclosures

Accounting Cycle Double-entry accounting system; Accrual basis vs. Cash basis; Debit-Credit framework; Accounting Cycle: Journal entries, Ledger, Adjusting entries, Closing entries, Adjustments, Closing process, Trial balances, Financial statement preparation

Statement of Cash Flows Classifications; Statement structure; Cash flows from operating activities, investing activities, and financing activities; Direct vs. Indirect method; Statement of cash flows disclosures; Noncash investing and financing activities; Supplemental cash flows information; Interpretation of cash flows information

Part II: Finance (Assistant Professor Dr. Chaiyuth Padungsaksawasdi) Sessions 5-8: (5) Monday, April 3, 2017, Time 06:00 p.m. - 09:00 p.m. Room 208 (6) Monday, April 10, 2017, Time 06:00 p.m. - 09:00 p.m. Room 208

(7) Saturday, April 22, 2017, Time 01:00 p.m. - 04:00 p.m. Room 205

(8) Wednesday, April 26, 2017, Time 06:00 p.m. - 09:00 p.m. Room 208

Financial statement analysis Users; Benchmarks; Ratio analysis: Liquidity ratios, Activity or asset utilization or asset management ratios, Leverage or debt management ratios, Profitability ratios, Other ratios, The du Pont and Extended Du Pont models; Common-size analysis; Trend analysis; Limitations of financial statement analysis

Overview of business finance Definition of business finance; Introductory concepts of finance: Opportunity cost, Risk-return trade-off; Financial managers’ responsibilities: Financing, Investing; Finance in the organizational structure of the firm; Goals of financial management; Wealth maximization and profit maximization; Agency relationship; Career opportunities in finance: Financial management; Investments; Financial institution management; Financial environments

Assessment:

Assignments and Quizzes (10% each for Accounting and Finance) 20% Final Exam (40% each for Accounting and Finance) 80%

Total 100.00%

(Note that weighting assigned might be changed as instructors see fit) Please note that the final exam date is scheduled on Saturday, May 13, 2017 during 09:00 a.m. - 12:00 noon at Room TBS#208.

Page 14: Master of Science Program in Finance International Program ...mif.tbs.tu.ac.th/public/upload/userfiles/files/Admission 2018/1.4 The... · Master of Science Program in Finance (International

4

VI. Supplementary class materials Kimmel, Weygandt, and Kieso (2013). Financial Accounting: Tools for Business Decision

Making 7th Edition (International Student Version). John Wiley & Sons, Inc. Koh, Ang, Brigham, and Ehrhardt (2014). Financial Management Theory and Practices (Asian

Edition). South-Western. Williams, Haka, Bettner, Carcello, Lam and Lau (2015). Financial Accounting 2nd (Asia Global)

Edition. McGraw-Hill. VII. Course evaluation and development process

7.1. Student evaluation of course There will be two evaluations per course: Pre-mid-term evaluation (session 3) and post-mid- term evaluation (session before final class).

7.2. Peer review system 7.2.1. Instructor receives feedback of course syllabus from peer group report 7.2.2. Instructor receives feedback of teaching from peer group report

7.3. Class improvement 7.3.1. Faculty receives feedback from student evaluations: One after session 3 and one

conducted on session before last. 7.3.2. Annual faculty academic meeting

7.4. Evaluation of learning outcomes 7.4.1. Faculty end of semester evaluation of students 7.4.2. Assessment of student performance in exams

7.5. Course development 7.5.1. Annual faculty academic meeting 7.5.2. Accommodate case study from industry practice and current research in curriculum.


Recommended