| Detailinformationen |
| Anmeldevoraussetzungen |
(*)keine
|
| Quellcurriculum |
Masterstudium Statistics and Data Science 2024W |
| Ziele |
(*)Principles of effective data collection and corresponding software. Design, hands-on experiment and analysis in a simple situation.
|
| Lehrinhalte |
(*)randomization, blocking, replication
simple factorial designs, fractional factorials
screening designs
response surface designs
optimal design of experiments
design algorithms
|
| Beurteilungskriterien |
(*)Presentation and written description of a concrete designed experiment, homework exercises, final exam
|
| Lehrmethoden |
(*)Lecture and interactive work with experimental design software
|
| Abhaltungssprache |
Englisch |
| Literatur |
(*)Atkinson A. C., Donev A. N. and Tobias R. D. (2007). Optimum Experimental Designs, with SAS. Oxford University Press.
Anderson M. J. and Whitcomb P. J. (2007). DOE Simplified: Practical Tools for Effective Experimentation, Second Edition, 2nd Edition. Productivity Press.
|
| Lehrinhalte wechselnd? |
Nein |
| Gilt als absolviert, wenn |
(*)5MSVPKV: KV Versuchsplanung (6 ECTS)
|
