GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DECISION THEORY/İST-325
Course Title: STATISTICAL DECISION THEORY
Credits 3 ECTS 5
Semester 5 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assist.Prof.Dr. Ufuk EKİZ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/ufukekiz
 -- EMAIL(S) OF LECTURER(S)
  ufukekiz@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn basic concepts of decision theory and their applications.








 -- MODE OF DELIVERY
  The mode of delivery is face to face.
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course .
 --COURSE CONTENT
1. Week  Certainty and uncertainty; Payoffs and Losses
2. Week  Nonprobabilistic criteria for decision making under uncertainty
3. Week  Probabilistic criteria for decision making under uncertainty
4. Week  Utility
5. Week  Value of information, terminal decisions and sequential decision
6. Week  The value of perfect information
7. Week  The value of sample information
8. Week  Linear payoff and loss functions (The two action problem)
9. Week  Midterm Exam
10. Week  Linear loss functions and the normal distribution
11. Week  The general finite-action problem
12. Week  Decision theory and point estimation
13. Week  Linear and quadratic loss functions
14. Week  The posterior distribution and hypothesis testing
15. Week  Decision theory and hypothesis testing
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Winkler R. L., 1972, Introduction to Bayesian Inference and Decision.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill , Practise
 -- WORK PLACEMENT(S)
  Not Applicable
 -- 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
16
3
48
 Practising Hours of Course Per Week
0
0
0
 Reading
0
0
0
 Searching in Internet and Library
0
0
0
 Designing and Applying Materials
0
0
0
 Preparing Reports
0
0
0
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
14
3
42
 Final and Studying for Final
14
3
42
 Other
0
 TOTAL WORKLOAD: 
132
 TOTAL WORKLOAD / 25: 
5.28
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X