GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
REGRESSİON ANALYSİS/5231303
Course Title: REGRESSİON ANALYSİS
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
Students learn estimation methods of regression parameters.
Students learn assumptions deterioration, effects and solution methods in the regression estimate.
Students learn various regression models.
Students learn robust regression estimation methods.
Students learn a regression model of real-life problems and solution with package program
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  General Theory of Regression Analysis
2. Week  Methods of Parameter Estimation
3. Week  Heteroscedasticity Problem
4. Week  Multicolinearity Problem
5. Week  Biased Estimators
6. Week  Standardized Parameter Estimation
7. Week  Models with Dummy Variables
8. Week  Models with Interaction Terms, Mid-Term
9. Week  Standardized Regression
10. Week  Outliers and Influential Observations
11. Week  Piecewise Regression
12. Week  Robust Regression
13. Week  Simultaneous Equation Systems
14. Week  Bootstrap Regression
15. Week  Final Exam
16. Week  ----------------------------------------------------------------------
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
5
20
 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
14
4
56
 Searching in Internet and Library
14
1
14
 Material Design and Implementation
0
 Report Preparing
5
3
15
 Preparing a Presentation
5
2
10
 Presentation
1
3
3
 Midterm Exam and Preperation for Midterm Exam
1
3
3
 Final Exam and Preperation for Final Exam
2
3
6
 Other (should be emphasized)
14
2
28
 TOTAL WORKLOAD: 
177
 TOTAL WORKLOAD / 25: 
7.08
 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)
   (Prof.Dr. M. Akif BAKIR)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/mabakir)
 -- EMAIL(S) OF LECTURER(S)
   (mabakir@gazi.edu.tr)