GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DECISION AND GAME THEORY/EKON412
Course Title: DECISION AND GAME THEORY
Credits 3 ECTS 5
Semester 8 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Murat ATAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/atan
 -- EMAIL(S) OF LECTURER(S)
  atan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Determine the extent and aim for complex decisions.
Determine the decision-making mechanism and alternatives.
Know the resolution of the selected multi-criteria decision-making problems.
 -- 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  Decision problems of structure
2. Week  The purpose of the decision, the decision determination of decision variables and restrictive activities
3. Week  Setting up the model of the decision problem and decision problems are examples of
4. Week  Model development and decision making environments
5. Week  Criteria for decisions under uncertainty (Laplace, wald, neuman, plunger, savage, hurwıcz criteria)
6. Week  Gain matrix and decision trees
7. Week  * The expected monetary value * Expected value of complete information * Decision trees
8. Week  Midterm
9. Week  Introduction to the theory of games, definitions and assumptions
10. Week  The creation of the Matrix Games
11. Week  Minimax and maximin principles, the bottom row in the column policy
12. Week  Game matrix solution methods (graphic method of the algebraic method and linear programming methods)
13. Week  Game matrix solution methods (graphic method of the algebraic method and linear programming methods)
14. Week  Two-person zero-sum games and the general solution
15. Week  Games theory-related examples
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Ahmet Öztürk, "Yöneylem Araştırması", Ekin Kitabevi Yayınları, Şubat 2009
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture,Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- 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
1
14
 Reading
14
1
14
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
10
20
 Final and Studying for Final
2
10
20
 Other
0
 TOTAL WORKLOAD: 
124
 TOTAL WORKLOAD / 25: 
4.96
 ECTS: 
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 aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.X
4Having appropriate behavior of econometrics in 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
5Having skills about foreign language and information system related to the fields in academic and working life.X
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.X