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 FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES Course Catalog http://www.ktu.edu.tr/isbb Phone: +90 0462 3773112 FENF
FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /

 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 Arş. Gör. 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
 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 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
 Textbook / Material
 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