GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DESIGN OF EXPERIMENTS II/İST4023
Course Title: STATISTICAL DESIGN OF EXPERIMENTS II
Credits 3 ECTS 4
Course Semester 7 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
1-Learn 2^k and 3^kFactorial designs
2-Learn nested designs
3-Learn confounding in factorial designs
4-Learn Fractional factorial designs
5-Learn Covariance analysis

 -- MODE OF DELIVERY
   The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  1. Variance analysis for fixed, random effect models
2. Week  2. Variance analysis for mixed effect models, Pseudo F test
3. Week  3. 2^k Factorial designs and Yates’ method
4. Week  4. 3^k Factorial designs
5. Week  5. Quantitative factors
6. Week  6. Qualitative factors
7. Week  7. Nested designs
8. Week  8. Crossed factors and nested designs, Midterm
9. Week  9. Multifactor experiments with randomization restrictions
10. Week  10. Split plot designs
11. Week  11. Confounding-2^k factorial designs
12. Week  12. Confounding-3^k factorial designs
13. Week  13. Fractional factorial designs
14. Week  14. Covariance analysis
15. Week  15. 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  
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
 Reading Tasks
0
 Searching in Internet and Library
10
1
10
 Material Design and Implementation
0
 Report Preparing
5
3
15
 Preparing a Presentation
0
 Presentation
10
1
10
 Midterm Exam and Preperation for Midterm Exam
1
9
9
 Final Exam and Preperation for Final Exam
1
14
14
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
100
 TOTAL WORKLOAD / 25: 
4
 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)
   (Prof. Hülya BAYRAK)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/hbayrak)
 -- EMAIL(S) OF LECTURER(S)
   (hbayrak@gazi.edu.tr)