GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL DESIGN OF EXPERIMENTS II/İST-423
Course Title: STATISTICAL DESIGN OF EXPERIMENTS II
Credits 3 ECTS 5
Semester 7 Compulsory/Elective Elective
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
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 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  Variance analysis for fixed, random effect models
2. Week  Variance analysis for mixed effect models, Pseudo F test
3. Week  2^k Factorial designs and Yates’ method
4. Week  3^k Factorial designs and Yates’ method
5. Week  Quantitative factors
6. Week  Qualitative factors
7. Week  Nested designs
8. Week  Mid-Term Exam
9. Week  Crossed factors and nested designs
10. Week  Multifactor experiments with randomization restrictions
11. Week  Split plot designs
12. Week  Confounding-2^k factorial designs
13. Week  Confounding -3^k factorial designs
14. Week  Fractional factorial designs
15. Week  Covariance analysis
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Montgomery D. C., 1984, Design and Analysis of Experiments, JohnWiley & Sons. Ryan, T.P, 2007, Modern Experimental Design. Wiley. Gumbert, M.L. Gies
 -- 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
3
42
 Reading
0
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
5
2
10
 Preparing Presentation
0
 Presentation
10
1
10
 Mid-Term and Studying for Mid-Term
1
9
9
 Final and Studying for Final
1
8
8
 Other
0
 TOTAL WORKLOAD: 
121
 TOTAL WORKLOAD / 25: 
4.84
 ECTS: 
5
 -- 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