GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL EXPERIMENTAL DESIGN I/İST3004
Course Title: STATISTICAL EXPERIMENTAL DESIGN I
Credits 4 ECTS 6
Course Semester 6 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Learn the concept of Replication, randomization
Learn the One way variance analysis
Learn the assumption of the One way variance analysis
Learn the Latin square design,Youden square design and greaco latin square design
Learn the Factorial designs

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  1. Fundamental concepts
2. Week  2. Replication, randomization and blocking
3. Week  3. One way variance analysis and expected mean square
4. Week  4. Transformations, orthogonal polynomials
5. Week  5. Multiple comparisons, orthogonal linear contrasts, Fisher’s least significance difference test
6. Week  6. Multiple comparisons, Newman-Keuls test, Tukey test, Scheffe test
7. Week  7. Random block design
8. Week  8. Generalized random block design, Midterm
9. Week  9. Latin square design
10. Week  10. Repeated latin square design and greaco latin square design
11. Week  11. Random incomplete block design
12. Week  12. Youden square design
13. Week  13. Factorial designs
14. Week  14. Multiple comparisons in factorial designs
15. Week  15. Final Exam
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
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
4
56
 Weekly Tutorial Hours
0
 Reading Tasks
3
1
3
 Searching in Internet and Library
2
1
2
 Material Design and Implementation
3
1
3
 Report Preparing
3
1
3
 Preparing a Presentation
1
3
3
 Presentation
1
3
3
 Midterm Exam and Preperation for Midterm Exam
2
8
16
 Final Exam and Preperation for Final Exam
1
8
8
 Other (should be emphasized)
3
15
45
 TOTAL WORKLOAD: 
142
 TOTAL WORKLOAD / 25: 
5.68
 Course Credit (ECTS): 
6
 -- 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)
   (1. 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)