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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 4017 DECISION MAKING AND GAME THEORY ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÖKÇE BAYSAL TÜRKÖLMEZ

Offered to

Econometrics Econometrics

Course Objective

The main objective ot the course is to investigate decision making and game theory, to apply on problems in economics and management science and to select the most appropriate solution strategy.

Learning Outcomes of the Course Unit

1   To be able to determine the importance of decision problem 2   To be able to define the structure of an appropriate decision tree of a problem, 3   To be able to constitute a game theory structure of a problem 4   To be able to select the most appropriate game strategy of a problem and to be able to interpret results, 5   To be able to manage the decision process

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Decision Making Components 2 Decision making models and tools 3 Structure of Decision Trees 4 Application of Decision Trees on Management Problems 5 Decision Making under Uncertainty 6 Decision Making under Uncertainty methods and applications 7 Decision Making under Risk methods and applications 8 Mid-term 9 Mid-term 10 Game Theory and Pure Strategy Games 11 Nash Equilibrium and Mixed Strategies 12 Sequential games 13 Graphical Solution to a Game Theory problem 14 Linear Programming Solution to a Game Theory Problem

Recomended or Required Reading

Dixit A., Skeath S. and Reiley D., Games of Strategy, 3rd edition (W.W. Norton & Co. 2009) Scott Bierman H., Luis Fernandez, Game Theory with Economic Applications, Addison Wesley Press: Secon Addition, USA (1998)

Planned Learning Activities and Teaching Methods

This course will be presented using class lecture, class discussions, overhead projections and demonstrations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 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

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) Lectures 12 3 36 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 25 25 Preparation for final exam 1 28 28 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 115

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 1 1 LO.2 1 1 LO.3 1 1 LO.4 1 1 LO.5 1 1