GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DECISION THEORY/İST3025
Course Title: STATISTICAL DECISION THEORY
Credits 3 ECTS 4
Course Semester 5 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Knowing the basic concepts of decision theory and implementing decision theory on applications.

 -- MODE OF DELIVERY
  The mode of delivery is face to face.
 --WEEKLY SCHEDULE
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
6. Week  On the gain, loss and benefit values, the value of perfect knowledge
7. Week  The value of the information compiled from the sample
8. Week  In case of two actions, linear gain and loss functions, Midterm
9. Week  Linear gain function and normal distribution
10. Week  In case of finite action, linear gain and loss functions
11. Week  Decision theory and point estimation
12. Week  Linear and quadratic loss functions
13. Week  The posterior distribution and hypothesis testing
14. Week  Decision theory and hypothesis testing
15. Week  Final Exam
16. Week  --
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
3
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
5
1
5
 Searching in Internet and Library
3
1
3
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
10
2
20
 Final Exam and Preperation for Final Exam
10
3
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 Course Credit (ECTS): 
4
 -- 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
 -- NAME OF LECTURER(S)
   (Asist. Prof Ufuk EKİZ )
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/ufukekiz)
 -- EMAIL(S) OF LECTURER(S)
   (ufukekiz@gazi.edu.tr)