GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
LINEAR MODELS/İST4028
Course Title: LINEAR MODELS
Credits 3 ECTS 4
Course Semester 8 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
Learns the circular forms and their distributions.
Learns the full-rank models.
Learns the estimation of models with random rank.

 -- MODE OF DELIVERY
  This course is given only face to face.
 --WEEKLY SCHEDULE
1. Week  Matrix operations
2. Week  Moore-penrose conditions
3. Week  Multivariate normal distribution
4. Week  Quadratic forms, distribution of quadratic forms, independence of quadratic forms
5. Week  Decentralized chi-square distribution
6. Week  Full rank models
7. Week  Estimation in full rank models
8. Week  Hypothesis testing in full rank models, Midterm
9. Week  Not of full rank models
10. Week  Estimation in not of full rank models
11. Week  Estimable functions
12. Week  Hypothesis testing in not of full rank models
13. Week  One stage fixed effect model
14. Week  two stage non-interacting fixed effect model.
15. Week  Final exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
2
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
6
2
12
 Searching in Internet and Library
2
3
6
 Material Design and Implementation
0
 Report Preparing
6
2
12
 Preparing a Presentation
1
5
5
 Presentation
1
3
3
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
0
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
90
 TOTAL WORKLOAD / 25: 
3.6
 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. Prpf. Ufuk EKİZ )
 -- WEB SITE(S) OF LECTURER(S)
   (https://abs.gazi.edu.tr/ufukekiz)
 -- EMAIL(S) OF LECTURER(S)
   (ufukekiz@gazi.edu.tr)