PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKON 408	GAME THEORY - II	3 + 0	6th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Game theory aims to help us understand situations in which decision makers interact. Main focus of the lesson is the use of the game theory to illuminate economic phenomena.
Course Content	-Nash equilibrium -Mixed strategic equilibrium -Extensive game with perfect information -Repeated games.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Learns static game theories and solution techniques
2	Learns dynamic game theories and solution techniques.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	5	5	5	5	5	5	5	5	5	5	5
Sub Total	10	10	10	10	10	10	10	10	10	10	10	10
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	13	3	39
Assignments	1	10	10
Mid-terms	1	13	13
Final examination	1	26	26
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2014-2015 Spring	1	SEVCAN GÜNEŞ

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKON 408	GAME THEORY - II	3 + 0	1	English	2014-2015 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
			İİBF C0104	%

Goals		Game theory aims to help us understand situations in which decision makers interact. Main focus of the lesson is the use of the game theory to illuminate economic phenomena.
Content		-Nash equilibrium -Mixed strategic equilibrium -Extensive game with perfect information -Repeated games.

Topics

Weeks	Topics
1	1) Introduction and Motivation
2	2) Advanced Topics in Simultaneous Games
3	3) Advanced Topics in Simultaneous Games
4	4) Advanced Topics in Dynamic Games
5	5) Advanced Topics in Simultaneous Games with Incomplete Information
6	Mid Term
7	7) Signaling Games
8	8) Applications of Signaling Games
9	9) Auctions
10	10) Applications of Auctions
11	11) Game Theory and Voting
12	12) Applications of Voting
13	13) Game Theory and Public Goods
14	14) Applications of Public Goods in Game Theory

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student