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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES

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FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /
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IST4003Statistical Designs of Experiments4+0+0ECTS:6
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of STATISTICS and COMPUTER SCIENCES
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 4 hours of lectures per week
LecturerArş. Gör. Buğra Kaan TİRYAKİ
Co-Lecturer
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The aim of this course is to teach students the basic concepts, methods and different experimental designs related to statistical experiment design with applications. For this purpose, the course includes analysis of variance (ANOVA), random block design, latin square and greco latin square designs, factorial designs and analysis of covariance (ANCOVA).
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : Experiment design in statistics1,31,
LO - 2 : Modeling the data1,31,
LO - 3 : Ability to make the best predictions using models1,31,
LO - 4 : Ability to discuss and evaluate1,31,
LO - 5 : Ability to interpret statistical analysis results1,31,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Introduction: Introducing the basic concepts of Experimental Design, One-way analysis of variance (One-way ANOVA), testing assumptions, Pair and multiple comparisons, random effect model, random block design, Latin square and Greco-Latin square designs, factorial designs, Analysis of Covariance (ANCOVA)
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction: Introduction of Basic Concepts of Experimental Design
 Week 2Introduction to Analysis of Variance
 Week 3One-way ANOVA (Totally Random Design)
 Week 4Testing Assumptions
 Week 5Pair and Multiple comparisons
 Week 6Two-Way ANOVA (Random Full Block Design)
 Week 7Latin Square and Greco-Latin Square Designs
 Week 8Nested Designs
 Week 9Mid-term exam
 Week 10Factorial Designs
 Week 11Split Plots Design
 Week 12Balanced Incomplete Block Designs
 Week 13One-Way ANCOVA
 Week 14Two-Way ANCOVA
 Week 15Factorial ANCOVA
 Week 16End-of-term exam
 
Textbook / Material
1Şenoğlu, B., Acıtaş, Ş. 2020; İstatistiksel Deney Tasarımı Sabit Etkili Modeller, Nobel Akademik Yayıncılık, Ankara
2Olmuş, H., Erbaş, S., Nazman, E., 2017; Araştırmacılar için SPSS Uygulamalı İstatistiksel Deney Tasarımı, , Gazi Kitabevi, Ankara
 
Recommended Reading
1Easterling, G.R., 2015; Fundamentals of Statistical Experimental Design and Analysis, John Wiley & Sons, New Mexico, USA
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 20.11.2021 1,5 50
End-of-term exam 16 10.01.2022 1,5 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 4 14 56
Sınıf dışı çalışma 5 14 70
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 15 1 15
Arasınav 1.5 1 1.5
Dönem sonu sınavı için hazırlık 17 1 17
Dönem sonu sınavı 1.5 1 1.5
Total work load161