COURSE UNIT TITLE

: INDUSTRIAL ECONOMICS BASED ON GAME THEORY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 3011 INDUSTRIAL ECONOMICS BASED ON GAME THEORY ELECTIVE 3 0 0 5

Offered By

Economics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR RECEP KÖK

Offered to

Economics
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   Developing strategy aimed to competitiveness at level of firm and industry
2   Explaining game theory at beginning level
3   Explaining decomposition of productivity and efficiency in perfect competition and differences with results of application
4   Performing application at limited level for productivity, 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 Malmquist productivity indexes
5 Change in total factor productivity and measurement indexes
6 Stochastic production frontiers analysis
7 Model of inefficiency s affects
8 Mid-term exam
9 Mid-term exam
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, DEÜ Matbaası, Izmir
* Ensar Yılmaz (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 Pres, New York.

Planned Learning Activities and Teaching Methods

This course is given in computer laboratory. After basic theoretical 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 are 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

Further Notes About Assessment Methods


Assessment Criteria

To be announced.

Language of Instruction

Turkish

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 midexams 1 8 8
Preparations to final exam 1 12 12
Preparations to other mini exams 2 4 8
Personal homework preparations 1 7 7
Group homework preparations 1 10 10
Preparations of presentation 2 6 12
Weekly prelecture preparations 12 1 12
Final Exam 1 1 1
Mid Exam 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.1111
LO.211
LO.3111
LO.4111