GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ANALYSİS OF VARİANCE/5241303
Course Title: ANALYSİS OF VARİANCE
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
Learn basic matrix operators
Learn Factorial designs
Learn response surface
Learn Latis designs
Learn ANOM methods
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  The contribution of statistics to experimentation
2. Week  Quadratic form, generalized inverse
3. Week  Complitely randomized, randomized block, latin square designs
4. Week  Factorial experiments
5. Week  Confounding, the use of confounded designs
6. Week  Factorial experiments in fractional replications
7. Week  Response surface
8. Week  Midterm exam
9. Week  Incomplete block designs, comparisons with other desigs
10. Week  Lattice designs
11. Week  Balanced incomplete block designs
12. Week  partially balanced incomplete block designs
13. Week  Hadamard designs
14. Week  Finite geometry, the geometrical interpretation of designs
15. Week  Analysis of means(ANOM)
16. Week  Final Exam
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
2
20
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
10
3
30
 Searching in Internet and Library
10
4
40
 Material Design and Implementation
0
0
0
 Report Preparing
10
3
30
 Preparing a Presentation
5
3
15
 Presentation
5
3
15
 Midterm Exam and Preperation for Midterm Exam
3
3
9
 Final Exam and Preperation for Final Exam
3
3
9
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
190
 TOTAL WORKLOAD / 25: 
7.6
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. Based on the capabilities of undergraduate level, the students enrolled to the program can develop and deepen their knowledge and skill at the level of expertise on the same field of the undergradute study or a different field.X
22. The students use their theoretical and practical knowledge at the level of expertise in the area of statistics.X
33. The students should evaluate their acquired knowledge and skills in a critical perspective and the critical point of view guides their learning process.X
44. Theoretical and practical knowledge gained in graduate level in the field of Statistics should be applied and transfer to the current problems.X
55. By performing the process from the identification of the scientific research problem to reporting and the process should be transferred in oral, written and visual ways.X
66. The students should use computer software and information technologies on the level required by the field of Statistics.X
77. The students should have the ability to use Statistics in interdisciplinary studies.X
88. The students should have enough foreign language level to pursue statistical literature.X
99. At the required level of field of statistics, he/she should use statistical software and information technology efficiently in a such a way that helps solving problems in his/her research.X
1010. In the process of applying knowledge in a professional sense, social, scientific, and ethical values should be regarded.X
 -- NAME OF LECTURER(S)
   (Prof.Dr.Hülya Bayrak)
 -- WEB SITE(S) OF LECTURER(S)
   (www.gazi.edu.tr/~hbayrak)
 -- EMAIL(S) OF LECTURER(S)
   (hbayrak@gazi.edu.tr)