GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
GAME THEORY/4080047
Course Title: GAME THEORY
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
   Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Sibel ATAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/sduman
 -- EMAIL(S) OF LECTURER(S)
  sduman@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Game theory recognizes as the technique, know how to apply to various fields, especially economic zones.
Moments in the scientific level of decision-making process, knows the interests of game theory.
Many interactions in real life game theory and strategy game that knows how to use modeling.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  General Information-Based Static Games: Normal-Form
2. Week  General Knowledge-Based Dynamic Games: Bai-six Strategies
3. Week  General Knowledge-Based Dynamic Games: Nash Equilibrium
4. Week  General Knowledge-Based Dynamic Games: Mixed Strategies
5. Week  General Knowledge-Based Dynamic Games: Applications
6. Week  General Knowledge-Based Dynamic Games:Applications
7. Week  General Knowledge-Based Dynamic Games: Game Tree Concept
8. Week  Midterm
9. Week   General Knowledge-Based Dynamic Games:Splayed Games
10. Week  General Knowledge-Based Dynamic Games: Alt In Games Nash Equilibrium
11. Week  General Knowledge-Based Dynamic Games: two-stage and Duplicate Games
12. Week  General Knowledge-Based Dynamic Games: Bargain Models
13. Week  Collaborative Games
14. Week  General knowledge-based Dynamic and Collaborative Games: applications
15. Week  General knowledge-based Dynamic and Collaborative Games: applications
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Oyun Teorisi , Çatışma ve Anlaşmanın Matematiksel Modelleri Khalik G. Guseinov, Emrah Akyar, Serkan A. Düzce Mart 2010 / 304 Syf.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
2
28
 Practising Hours of Course Per Week
14
2
28
 Reading
14
2
28
 Searching in Internet and Library
10
2
20
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
20
40
 Final and Studying for Final
2
20
40
 Other
0
 TOTAL WORKLOAD: 
184
 TOTAL WORKLOAD / 25: 
7.36
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspect of econometrics.X
2Having appropriate behavior of econometricsin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.X
3Having skills about selecting, using and evaluating of appropriate econometrics and statistical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
4Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
5Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
6Using some of the advanced level econometrics and statistical software programs.X
7Having skills about information system related to the fields in working life.X
8Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
9Having skills to comprehension, application and evaluation about terms and basic theory of operational research.X
10Having the professional expertise and skills on theoretical and practical aspects of operational research.X