GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED STATISTICAL METHODS I/4080044
Course Title: ADVANCED STATISTICAL METHODS I
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Serdar KILIÇKAPLAN
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/skilickaplan
 -- EMAIL(S) OF LECTURER(S)
  skilickaplan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students have the theorical framework in regression
Students have the theorical framework analysis of variance
Students can solve different regression and variance problems
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Development of linear classification models
2. Week  Development of linear classification models
3. Week  Component of variance for balanced designs
4. Week  Polynomial models
5. Week  Harmonic regression
6. Week  Exercises
7. Week  Crossed models for combined qualitative and quantitative factors
8. Week  Analysis of variance for fixed effects
9. Week  Analysis of variance for fixed effects
10. Week  Analysis of variance for random effects
11. Week  Analysis of variance for random effects
12. Week  Analysis of variance for mixed effects models
13. Week  Analysis of variance for mixed effects models
14. Week  Exercises
15. Week  Representations
16. Week  Representations
 -- RECOMMENDED OR REQUIRED READING
  -John, Peter W.M., Statistical Design and Analaysis of Experiments, 1971, The Macmillian Company -Draper, Norman ve Smith, Harry, Applied Regression
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
   Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
50
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
2
28
 Practising Hours of Course Per Week
14
1
14
 Reading
14
3
42
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
14
3
42
 Preparing Reports
0
 Preparing Presentation
14
3
42
 Presentation
2
3
6
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
0
 Other
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1
2X
3
4X
5X
6X
7X
8X
9
10