Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST402DESIGN OF EXPERIMENTSCompulsory488
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
1To be able to comprehend the principles of design experiment.
2To be able to express lineer model approach for designed experiments.
3To be able to distinguish probabilistic and deterministic models.
4To be able to comprehend the effects of deisgn experiment to volume and noise.
5To be able to distinguish Random block design and Latin square block design.
6To be able to express factorial experiments in terms of statistical lineer models.
7To be able to do the matrix calculations in model estimation.
8To be able to comprehend estimation of confidence intervals.
9To be able to comprehend the analysis of variance method approach for design experiment models.
109. 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
WeekTheoreticalPracticeLaboratory
1Variability, expected value, simple lineer correlation, inference, estimation and hypothesis testing, determining sample size
2The factors effecting the quality of information in a design and samples of design experiments.
3Deterministic and probabilistic models, lineer models.
4Random block designs
5The degrees of freedom concept in the estimation of variance for random block designs.
6Latin square block designs
7Different block designs and the importance of blocking
8Mid-term Examination
9The lineer model approach for factorial experiments.
10Lineer model estimation and least square estimation method.
11Matrix solutions
12Statistical inference, estimation of confidence intervals.
13Confidence estimation for some design models.
14Applications of variance analysis for random block designs and Latin square designs.
15Applications of variance analysis for factorial experiments, lack of fit test for lineer models and coefficient of determination.
16Final Examination
Recommended or Required Reading
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 ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Quiz248
Attending Lectures14456
Problem Solving4520
Question-Answer4520
Team/Group Work2612
Individual Study for Homework Problems22550
Individual Study for Mid term Examination13030
Individual Study for Final Examination14040
TOTAL WORKLOAD (hours)240
Contribution of Learning Outcomes to Programme Outcomes
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LO2 5           3      3   
LO3    4  3          4     
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LO104                       
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr