12798 - Methods in Bioanalytics Modulübersicht
Module Number: | 12798 |
Module Title: | Methods in Bioanalytics |
Methoden in der Bioanalytik | |
Department: | Faculty 2 - Environment and Natural Sciences |
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Language of Teaching / Examination: | English |
Duration: | 1 semester |
Frequency of Offer: | Every summer semester |
Credits: | 8 |
Learning Outcome: | First the students expand their professional competencies in training the skills in sterile cell culture techniques and practice the performance of special cell assays (incl. analysis of DNA damage upon treatment with single (etoposide) and multiple chemotherapeutic substances, FISH to asses genomic alterations of cancer cells). In particular, the cell assays have relevance in precision medicine and pharmacology/pharmaceutical research. Furthermore, they broaden their methodological background in analysis, interpretation and reporting of lab data by different methods used in applied statistical bioinformatics, forensics, pharmaceutical research and precision medicine. By working in small groups the students train also soft skills like the ability to work and communicate in a team. The special task to present and discuss the experimental results train additional soft skills like the ability to communicate orally to individuals and groups and to tailor the oral communication to the level and experience of the audience. The students use appropriate scientific open source software (incl. R statistical computing language, Python general purpose programming language), graphics, and other tools to clarify complex information. The analysis of the data includes methods used in applied statistical bioinformatics and bioanalytical pharmacology. Moreover, the accompanying seminar will train methodological competencies (e.g. media skills), and soft skills like presenting special facts and data and to communicate in a group. |
Contents: |
Contents of the seminar: Deepening the knowledge of the methods used in the labcourse. Methods in applied statistical bioinformatics, literate programming and report generation (Remarkdown or Jupyter notebook). |
Recommended Prerequisites: | Basic knowledge in Cell biology, Biochemistry, applied biostatistics and bioinformatics. |
Mandatory Prerequisites: | Only applies to the Master Biotechnology PO 2018 with 4 semesters standard period of study: Successfull completion of module
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Module Examination: | Continuous Assessment (MCA) |
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Evaluation of Module Examination: | Performance Verification – graded |
Limited Number of Participants: | 8 |
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Remarks: | The module takes place as a 6 week block course. |
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