At the end of this course, the students; 1) Gain an ability to design and conduct experiments, as well as to analyze and interpret data 2) Gain an ability to design a system, component, or process to meet desired needs within realistic 3) Design in the experiments using package program to get results and ability to interpret
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Basic concepts and methods of experimental design. Single and multiple regression analysis, analysis of variance. Single factor experiments. Random block design and Latin square. Factorial design, fixed effect model, random and mixed models. Applications.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Experimental design principles for the design example
2nd Week
Experiments with Single Factors: Variance analysis of the logic(ANOVA),Averaging testing After ANOVA, confidence intervals, variance components
3rd Week
Experiments with a single factor completed random blocks designe
4th Week
Incomplete blocks designe
5th Week
Experiments with a single factor Latin square designe, and other squares designe, intermediate
6th Week
Factorial Experiments: The concept of interaction and ANOVA logic
7th Week
Midterm
8th Week
Restrictions are placed on the randomation in Factorial Experiments
9th Week
2k Factorial Experiments
10th Week
2k Factorial Experiments
11th Week
Confounding in blocks
12th Week
Confounding in blocks
13th Week
Fractional replication experiments
14th Week
Taguchi experiments
RECOMENDED OR REQUIRED READING
Montgomery D.C., (2000), Design and Analysis of Experiments, 5th Edition, Wiley. W.G.Cochran , G.M.Cox, Experimental Designs, Wiley, 1957, New York.