| Allgemeine Angaben |
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| Data analysis and design of experiments | | |
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 Allocations: 1 | |
| eLearning[Provide new moodle course in current semester] |
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| Angaben zur Abhaltung |
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| The course starts with basics of probability theory and statics. Afterwards fundamentals and applications of design of experiments will be taught. Next topics comprise different tools and methods for data analysis: cluster analysis, principal component analysis, and factor analysis.At the end Bayes networks are considered. This type of model allow to reconstruct networks for cellular systems based on experimental data. |
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| Prerequisite for a successful participation is basic mathematical knowledge that is taught at scientific university. |
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| After visiting the course the participants have understood basic concepts of probability theory and statistics, and their potential for applications for big data sets in microbiology. Based on these concepts, the students are able to set up simple models to describe cellular networks. |
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The matter of the course will be taught by sketches on the blackboard and with the help of PowerPoint presentations. Important topics will be recapitulated and will be deepened in exercises. The students get exercise problems that will be solved by the lecturer and will be discussed with the audience. This allows self-control of the students. |
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| Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende/r identifizieren. |
| Note: Prerequisite for a successful participation is basic mathematical knowledge that is taught at scientific university. |
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| Zusatzinformationen |
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| Books used for the lecture: Multivariate Analysemethoden v. Backhaus, Erichson, Plinke und Weber; Computational Statistics Handbook with MATLAB |
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