Oral exam or written exam with a large number of participants, successful participation in the seminar is a prerequisite for the exam

Topics include the various technologies of quantitative biology/biomedicine (e.g. omics technologies, high-throughput screening and imaging), methods for processing and analyzing high-throughput data (bioinformatics workflows) and standardization of data exchange formats. Furthermore, the module deals with data and metadata models, as well as data storage (different approaches) and general concepts for data management (e.g. different database systems) and (web-based) visualization. The lecture thereby prepares the technical basics of the topics and in the seminar current work on biomedical application of these technologies is presented and discussed by the students.

Students will master simple and multivariate statistical methods, as well as data-driven approaches for the management and analysis of high-throughput biomedical and imaging data. They are able to design research infrastructures and to use evaluation routines on different already existing infrastructures in a methodologically adequate way, as well as to critically question their use in publications. Furthermore, the students are able to design, conduct and adequately evaluate a qualitative/quantitative investigation (e.g. a clinical study or a large-scale research project) (e.g. in research-oriented courses of the degree programme or in the Master's thesis). In addition, they can classify the dangers and opportunities of "open data" and discuss them in an interdisciplinary manner. The students can also assess the strengths and weaknesses of qualitative and quantitative data-driven research and critically evaluate the methodological quality of the publications.

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