Design and Analysis of Experiments

General course information

This is a graduate course, for Ph.D. students at the department of Computer Science and Electrical engineering only. The course is offered irregularly.

The course covers the basic principles of factorial and fractional factorial designs, basics of Analysis of Variance (ANOVA), and response surface modeling.

The course is given as a seminar course, where students take turn presenting the contents of the book and solutions to problems.

At the end of the course, the students will perform an individual project, related to their own research. The project should be presented in a short written report.

Lectures and homework problems

Lecture no.Time and placeChapter(s)Homework problems
Lecture 1March 31, 13:00-14:00, A2014Course introductionInstall Minitab and MATLAB
Lecture 2April 8, 15:00-16:20 (max)
A2025
Ch. 1-21.2, 1.3, 1.4
2.1, 2.4, 2.6, 2.9, 2.16, 2.22, 2.28
Lecture 3April 15, 13:00-14:30
A2014
Ch. 33.2, 3.3, 3.6, 3.26, 3.29, 3.33
Lecture 4April 30, 10:00-11:30
A2025
Ch. 4.1-4.34.4, 4.8, 4.21, 4.33
Lecture 5May 12, 14:00-15:30
A2014
Ch. 55.9, 5.8, 5.18, 5.21, 5.24
Lecture 6May 19, 13:00-14:30
A2025
Ch. 66.2, 6.3, 6.18, 6.23, 6.33
Lecture 7May 25, 09:00-10:30
A3210
Ch. 77.2, 7.10, 7.16
Lecture 8June 2, 14:00-15:30
A2025
Ch. 88.3, 8.7, 8.28, 8.29, 8.30
Lecture 9June 10, 09:00-10:30
A2014
Ch. 1010.2, 10.6, 10.9
Lecture 10June 22, 09:00-10:30
A2014
Ch. 1111.4, 11.9. 11.10, 11.16

Examination

Active participation in seminars, including presentation of chapters and problem solutions. Completion of individual project.




Last update: May 25, 2010, by Johan Carlson