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| Detailed information |
| Pre-requisites |
keine
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| Original study plan |
Master's programme Statistics and Data Science 2025W |
| Learning Outcomes |
Competences |
| Students are able to design their own experiment efficiently and judge other experiments accordingly.
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| Skills |
Knowledge |
- Knowing and understanding of the basic problems, concepts and procedures of experimental design (k1,k2)
- Constructing, applying and critically evaluating different sampling designs (k3,k4, k5)
- Using software to generate experimental designs R (k3)
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- randomization, blocking, replication
- simple factorial designs, fractional factorials
- screening designs
- response surface designs
- optimal design of experiments
- design algorithms
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| Criteria for evaluation |
Presentation and written description of a concrete designed experiment, homework exercises, final exam
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| Methods |
Lecture and interactive work with experimental design software
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| Language |
English |
| Study material |
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.
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| Changing subject? |
No |
| Is completed if |
5MSVPKV: KV Versuchsplanung (6 ECTS)
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