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MAT-51646 DESIGN OF EXPERIMENTS, 4 cr
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Courses persons responsible
Keijo Ruohonen
Lecturers
Keijo Ruohonen
Implementations
| Programs: | Mechanical Engineering, Civil Engineering, Electrical Engineering, Industrial Management and Engineering, Information Technology, Fiber and Textile Technology, Automation Engineering, Materials Science, Environmental and Energy Technology, Information and Knowledge Management, Communications and Electronics, Science and Engineering, Biotechnology |
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | - | 3 h/week | 3 h/week | - |
| Exercise | - | - | - | 1 h/week | 1 h/week | - |
| Exam | ||||||
Objectives
Design of quantitative experiments, in particular response surface methods.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Regression analysis. | ||
| 2. | Response optimization. | ||
| 3. | Design of statistical experiments (e.g. Simplex, Plackett-Burman, 2k, CCD, D-optimum experiments). | ||
| 4. | Use of a statistical program (MATLAB, JMP). | ||
| 5. | Small sampling methods (time allowing). |
Requirements for completing the course
Active participation in exercises and written solutions to homework exercises, or a closed-book written exam.
Evaluation criteria for the course
Study material
| Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
| Book | Response Surface Methodology | Myers, R.H. & Montgomery, D.C. | Yes | English | |||
| Summary of lectures | Tilastollinen vastepintamallinnus | Piché, R. & Ruohonen, K. | (pdf, 0.9 Mb) | No | Finnish | ||
| Summary of lectures | Tilastollinen kokeiden suunnittelu ja otanta | Ruohonen, K. | (Sisältö)(Kirjallisuus)(pdf, 0.9 Mb) | No | Finnish |
Prerequisites
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
Basic courses on probability and statistical methods, and matrix calculus are required as a background.
Remarks
Lectured at most every second year.
Distance learning
- In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
- In compiling teaching material, particularly for online use or other electronic media
- In compiling exercise, group or laboratory work
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
Scaling
| Methods of instruction | Hours |
| Lectures | 72 |
| Exercises | 48 |
| Total sum | 120 |
Correspondence of content
MAT-51640 Design of Experiments
| Last modified | 16.02.2007 |
| Modified by | Keijo Ruohonen |