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| IST4003 | Statistical Designs of Experiments | 4+0+0 | ECTS:6 | | Year / Semester | Fall Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 4 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Buğra Kaan TİRYAKİ | | Co-Lecturer | | | Language of instruction | Turkish | | 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 Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Experiment design in statistics | 1,3 | 1, | | LO - 2 : | Modeling the data | 1,3 | 1, | | LO - 3 : | Ability to make the best predictions using models | 1,3 | 1, | | LO - 4 : | Ability to discuss and evaluate | 1,3 | 1, | | LO - 5 : | Ability to interpret statistical analysis results | 1,3 | 1, | | 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 | | |
| 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) |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction: Introduction of Basic Concepts of Experimental Design | | | Week 2 | Introduction to Analysis of Variance | | | Week 3 | One-way ANOVA (Totally Random Design)
| | | Week 4 | Testing Assumptions | | | Week 5 | Pair and Multiple comparisons
| | | Week 6 | Two-Way ANOVA (Random Full Block Design) | | | Week 7 | Latin Square and Greco-Latin Square Designs
| | | Week 8 | Nested Designs | | | Week 9 | Mid-term exam | | | Week 10 | Factorial Designs
| | | Week 11 | Split Plots Design
| | | Week 12 | Balanced Incomplete Block Designs
| | | Week 13 | One-Way ANCOVA
| | | Week 14 | Two-Way ANCOVA
| | | Week 15 | Factorial ANCOVA | | | Week 16 | End-of-term exam | | | |
| 1 | Şenoğlu, B., Acıtaş, Ş. 2020; İstatistiksel Deney Tasarımı Sabit Etkili Modeller, Nobel Akademik Yayıncılık, Ankara | | | 2 | Olmuş, H., Erbaş, S., Nazman, E., 2017; Araştırmacılar için SPSS Uygulamalı İstatistiksel Deney Tasarımı, , Gazi Kitabevi, Ankara | | | |
| 1 | Easterling, G.R., 2015; Fundamentals of Statistical Experimental Design and Analysis, John Wiley & Sons, New Mexico, USA | | | |
| Method of Assessment | | Type of assessment | Week No | Date | 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 work | Duration (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 load | | | 161 |
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