COURSE UNIT TITLE

: GAME THEORY AND INDUSTRIAL ECONOMICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
ERA 3303 GAME THEORY AND INDUSTRIAL ECONOMICS ELECTIVE 3 0 0 5

Offered By

Economics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR AYŞE ELIF AY YALÇINKAYA

Offered to

Economics (Evening)
Economics

Course Objective

The aim of this course is to gain ability of developing strategy in the framework of industrial economics.

Learning Outcomes of the Course Unit

1   To be able to develop strategy aimed to competitiveness at level of firm and industry
2   To be able to explain game theory at beginning level
3   To be able to explain decomposition of productivity and efficiency in perfect competition and differences with results of application
4   To be able to perform application at limited level for prodcutivitiy, efficiency measurement methods (DEA, SFA) according to literature

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Decomposition of productivity and efficiency in perfect competition and discussion about differences and production functions aimed at productivity, efficiency measurement methods: Cobb Douglas, CES, VES
2 Production functions aimed at productivity, efficiency measurement methods: Generalized production functions, non-parametric production and linear programming
3 Productivity, efficiency measurement methods: Data Envelopment Analysis (DEA)
4 Malmqvist productivity indexes
5 Change in total factor productivity and measurement indexes
6 Stochastic production frontiers analysis
7 Model of inefficiency affects
8 Midterms
9 Midterms
10 Static games under full information
11 Mixed strategies
12 Dynamic games under full information
13 Static games under incomplete information
14 Dynamic games under incomplete information

Recomended or Required Reading

Recep KÖK, Ertuğrul DELIKTAŞ (2003), Endüstri Iktisadında Verimlilik Ölçme ve Strateji Geliştirme Teknikleri, DEU Matbaası, Izmir
Ensar YILMAZ (2009) Oyun Teorisi, Literatür Yayınları, Istanbul
Robert GIBBONS (1992), Game Theory for applied Economists, Princeton University Press, New Jersey
Martin J. OSBORNE (2004), An Introduction to Game Theory, Oxford University Press, New York

Planned Learning Activities and Teaching Methods

This course is given in computer laboratory. After basic theoritical framework is reviewed, subject is made clarified by mathematical applications using computer and solving problems. Also ability of developing strategy is gained. Quizes are made during semester and homework, term project is given.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 STT TERM WORK (SEMESTER)
2 MTE MIDTERM EXAM
3 MTEG MIDTERM GRADE STT * 0.40 + MTE * 0.60
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lecture 12 3 36
Application 12 1 12
Preparations to midterm 1 8 8
Preparations to final exam 1 12 12
Preparations to other mini exams 2 4 8
Preparation to personal homework 1 7 7
Preparation to group homework 1 10 10
Preparation to presentation 2 6 12
Weekly prelecture preparations 12 1 12
Final Exam 1 1 1
Midterm 1 1 1
Other mini exams 2 0,5 1
TOTAL WORKLOAD (hours) 120

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.1111111
LO.21
LO.3111
LO.41