GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
LİNEAR MODELS/5051303
Course Title: LİNEAR MODELS
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
A student learns,estimation in the full rank model, estimation in the less than full rank model, hypothesis testing in the less than full rank model,.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week   vector spaces, subvector spaces and orthogonal subvector spaces.
2. Week  vector spaces, subvector spaces and orthogonal subvector spaces.
3. Week  Multivariate normal distribution and conditional expected value.
4. Week  Hypothesis testing in full rank models.
5. Week  Likelihood functions and maximum likelihood estimators.
6. Week  maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models.
7. Week  maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models.
8. Week  maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models.
9. Week  maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models.
10. Week  maximum likelihood ratio test statistics and their distributions for some hypothesis in full rank models.
11. Week  Midterm Exam
12. Week  non-central chi-square and non-central F distributions.
13. Week  Conditional inverse of X'X and estimable functions.
14. Week  maximum likelihood estimators of estimable functions.
15. Week  Hypothesis Testing in the Less than Full Rank Model.
16. Week  Final Exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
5
50
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
70
 Percentage of Final Exam to Total Score  
30
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
15
3
45
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
10
3
30
 Material Design and Implementation
0
 Report Preparing
8
3
24
 Preparing a Presentation
3
1
3
 Presentation
3
1
3
 Midterm Exam and Preperation for Midterm Exam
1
20
20
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 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)
   (Phd. Ufuk EKİZ)
 -- WEB SITE(S) OF LECTURER(S)
   ()
 -- EMAIL(S) OF LECTURER(S)
   (ufukekiz@gazi.edu.tr)