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Data analysis and design of experiments
Datenanalyse und Versuchsplanung Übung

Course 0000001935 in SS 2019

General Data

Course Type exercise
Semester Weekly Hours 2 SWS
Organisational Unit Associate Professorship of Systems biotechnology (Prof. Kremling)
Lecturers Alberto Marin Sanguino
Responsible/Coordination: Andreas Kremling
Dates Tue, 11:00–12:30, MW 3414

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks 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.
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2018 Data analysis and design of experiments Tue, 11:00–12:30, MW 3414
SS 2017 Data analysis and design of experiments Tue, 11:00–12:30, MW 3414
SS 2016 Data analysis and design of experiments Tue, 11:00–12:30, MW 3414
SS 2015 Data analysis and design of experiments Tue, 11:00–12:30, MW 3414
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