          Description of Individual Course Units
 Course Unit Code Course Unit Title Type of Course Unit Year of Study Semester Number of ECTS Credits İST402 DESIGN OF EXPERIMENTS Compulsory 4 8 8
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to gain the students the ability of making a design of an experiment, discussing the lineer statistical model approach holding deterministic and probabilistik models separate in design experiment.
Name of Lecturer(s)
Prof. Dr. Onur KÖKSOY
Learning Outcomes
 1 To be able to comprehend the principles of design experiment. 2 To be able to express lineer model approach for designed experiments. 3 To be able to distinguish probabilistic and deterministic models. 4 To be able to comprehend the effects of deisgn experiment to volume and noise. 5 To be able to distinguish Random block design and Latin square block design. 6 To be able to express factorial experiments in terms of statistical lineer models. 7 To be able to do the matrix calculations in model estimation. 8 To be able to comprehend estimation of confidence intervals. 9 To be able to comprehend the analysis of variance method approach for design experiment models. 10 9. To be able to comprehend the analysis of variance method approach for design experiment models.
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Repeating the subjects of applied statistics, The principles of design experiment, randomness, designed experiment and knowledge, The lineer model approach to the designed experiments, Deterministic and probabilistic models, lineer models, Random block design and Latin square block design, Factorial experiments, Lineer model estimation and matrix solutions, Confidence interval estimation, Analysis of variance in design experiment models.
Weekly Detailed Course Contents
 Week Theoretical Practice Laboratory 1 Variability, expected value, simple lineer correlation, inference, estimation and hypothesis testing, determining sample size 2 The factors effecting the quality of information in a design and samples of design experiments. 3 Deterministic and probabilistic models, lineer models. 4 Random block designs 5 The degrees of freedom concept in the estimation of variance for random block designs. 6 Latin square block designs 7 Different block designs and the importance of blocking 8 Mid-term Examination 9 The lineer model approach for factorial experiments. 10 Lineer model estimation and least square estimation method. 11 Matrix solutions 12 Statistical inference, estimation of confidence intervals. 13 Confidence estimation for some design models. 14 Applications of variance analysis for random block designs and Latin square designs. 15 Applications of variance analysis for factorial experiments, lack of fit test for lineer models and coefficient of determination. 16 Final Examination
Mendenhall, W., “Introduction to Linear Models and the Design and Analysisi of Experiments”,(1996), Hogg, R., V., Tannis, E., A., “Probability and Statistical Inference”
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
 Term (or Year) Learning Activities Quantity Weight SUM 0 End Of Term (or Year) Learning Activities Quantity Weight SUM 0 SUM 0
Language of Instruction
English
Work Placement(s)
None 