GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL EXPERIMENTAL DESIGN I/İST-304
Course Title: STATISTICAL EXPERIMENTAL DESIGN I
Credits 4 ECTS 6
Semester 6 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Hülya BAYRAK
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/hbayrak
 -- EMAIL(S) OF LECTURER(S)
  hbayrak@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn the concept of Replication, randomization
Learn the One way variance analysis
Learn the assumption of 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
 -- 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  Fundamental concepts
2. Week  Replication, randomization and blocking
3. Week  One way variance analysis and expected mean square
4. Week  Transformations, orthogonal polynomials
5. Week  Multiple comparisons, orthogonal linear contrasts, Fisher’s least significance difference test
6. Week  Multiple comparisons, Newman-Keuls test, Tukey test, Scheffe test
7. Week  Random block design
8. Week  Mid-Term Exam
9. Week  Generalized random block design
10. Week  Latin square design
11. Week  Repeated latin square design and greaco latin square design
12. Week  Random incomplete block design
13. Week  Youden square design
14. Week  Factorial designs
15. Week  Multiple comparisons in factorial designs
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  1. Montgomery D. C., 1984, Design and Analysis of Experiments, JohnWiley & Sons. 2. Ryan, T.P, 2007, Modern Experimental Design. Wiley. 3. Gum
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
14
1
14
 Reading
3
1
3
 Searching in Internet and Library
2
1
2
 Designing and Applying Materials
3
1
3
 Preparing Reports
3
1
3
 Preparing Presentation
1
3
3
 Presentation
1
3
3
 Mid-Term and Studying for Mid-Term
2
8
16
 Final and Studying for Final
1
8
8
 Other
3
15
45
 TOTAL WORKLOAD: 
142
 TOTAL WORKLOAD / 25: 
5.68
 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