First Cycle - Faculty of Arts and Sciences - Statistics
Y : Year of Study S : Semester
Course Unit Code Course Unit Title Type of Course Y S ECTS
IST339 Statistical Design of Experiments Compulsory 3 5 5
Objectives of the Course
The aim of this course is to give a brief summary of applied statistics and to introduce a designed experiment and to discuss linear statistical models approximation in experimental design, distinguishing deterministic and probabilistic models
Name of Lecturer(s)
Learning Outcomes
1 Applies and knows Factorial designs.
2 Applies and knows Random effect and mixed effect models
3 does analysis using SPSS
4 builds models related to data and make predictions using these models
5 gains information about experimental design
Mode of Delivery
Formal Education
Recommended Optional Programme Components
Course Contents
Fundamental concepts,One way variance analysis,Tests for variance homogeneity,Expected means square for fixed effect,Random effect and mixed effect models,Orthogonal polynomials,Multiple comparisons,Random blocks design,Latin square design and Graeco Latin square designs,Factorial designs,A planned experiment and definition and information,Linear model approximation to planned experiments,Randomness,Case studies.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1 Fundamental concepts
2 One way variance analysis
3 Tests for variance homogeneity
4 Expected means square for fixed effect
5 Random effect and mixed effect models
6 Orthogonal polynomials
7 Study week
8 Midterm exam
9 Multiple comparisons
10 Random blocks design
11 Latin square design and Graeco Latin square designs
12 Factorial designs
13 A planned experiment and definition and information
14 Linear model approximation to planned experiments
15 Randomness
16 Case studies
17 Study week
Recommended or Required Reading
Lecture Notes,İstatistiksel Deney Tasarımı Sabit Etkili Modeller-Birdal Şenoğlu/Şükrü Acıtaş
Planned Learning Activities and Teaching Methods
Description method,Face to face description method. Solving problems on board. Discussion.
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Exam1100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Exam1100
Language of Instruction
Work Placement(s)
Workload Calculation
Activities Number Time (hours) Total Work Load (hours)
Theoretical 4 14 56
Pre Class Self Study 1 14 14
Post Class Self Study 1 14 14
Midterm Preparation 1 20 20
Final Preparation 1 20 20
Total 8 82 124
Contribution of Learning Outcomes to Programme Outcomes
PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 12131222322000000
LO 22122222000000000
LO 32333333333000000
LO 42120000000000000
LO 51220000000000000
LO 60000000000000000
LO 70000000000000000
LO 80000000000000000
LO 90000000000000000
LO 100000000000000000