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Module Number:
| 14810
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| Module Title: | Seminar Bioinformatics |
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Seminar Bioinformatik
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| Department: |
Faculty GW - Faculty of Health Sciences Brandenburg
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| Responsible Staff Member: | -
Prof. Dr. rer. nat. Schliep, Alexander
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
Every semester
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| Credits: |
4
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| Learning Outcome: | After successfully completing the module, students will have acquired the skills needed to use computer science literature in order to familiarize themselves with a new, complex topic. They will be able to present the results, in oral as well as in written form. |
| Contents: | Students learn about specific state-of-the-art problems and methodological approaches used in bioinformatics. The application areas will range from fundamental bioinformatics problems in basic science to applications in medical diagnostics, understanding cellular processes relevant to diagnosis and disease, as well as mechanisms for treating diseases. Methods will include both algorithmic and machine learning approaches. |
| Recommended Prerequisites: | - Solid knowledge in the field of bioinformatics.
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| Mandatory Prerequisites: | None |
| Forms of Teaching and Proportion: | -
Seminar
/ 2 Hours per Week per Semester
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Research paper/essay
/ 30 Hours
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Self organised studies
/ 60 Hours
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| Teaching Materials and Literature: | Literature references for individual retrieval will be provided at the first class meeting of the semester. |
| Module Examination: | Continuous Assessment (MCA) |
| Assessment Mode for Module Examination: | - Seminar presentation, 30-45 minutes (40 %)
- Written report of the seminar presentation, 10-15 pages (40 %)
- Active participation in courses (20 %)
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| Evaluation of Module Examination: | Study Performance – ungraded |
| Limited Number of Participants: | 20 |
| Part of the Study Programme: | -
Master (research-oriented) /
Artificial Intelligence /
PO 2022
- 1. SÄ 2024
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Master (research-oriented) /
Informatik /
PO 2008
- 3. SÄ 2024
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| Remarks: | - Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“
- Study programme Informatik M.Sc.: Compulsory elective module in complex „Seminare oder Praktika“ (level 400)
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| Module Components: | |
| Components to be offered in the Current Semester: | |
