GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATİSTİCAL THEORY 1/6011303
Course Title: STATİSTİCAL THEORY 1
Credits 3 ECTS 7.5
Course Semester 1 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
Student learns the concepts and applicability of advanced statistical theory.

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Introduction to probability theory
2. Week  Random variables and their distributions
3. Week  Moments of random variables
4. Week  Moment generating functions, characteristic functions
5. Week  Convergence of random variables
6. Week  Transformations of random variables
7. Week  Some inequalities, sampling distributions
8. Week  Order statistics, midterm exam
9. Week  Point estimation, finding methods of estimators
10. Week  Estimator properties
11. Week  Estimator properties
12. Week  Evaluation methods of estimators
13. Week  Hypothesis testing
14. Week  Hypothesis testing
15. Week  Final examination
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
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
11
4
44
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
10
3
30
 Final Exam and Preperation for Final Exam
10
3
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Hülya OLMUŞ)
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/hulya)
 -- EMAIL(S) OF LECTURER(S)
   (hulya@gazi.edu.tr)