Module Number BIO4377 |
Module Title Computational Microbiology |
Lecture Type(s) Seminar |
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ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | Irregular | |
Language of instruction | English | |
Type of Exam | Written report and oral presentation based on a selected topic |
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Content | This seminar covers current topics and methods in computational microbiology. It introduces computational approaches for the analysis of microbial genomes, metagenomes, and transcriptomes, as well as bioinformatic tools for investigating microbial diversity, function, and ecology. A particular focus is placed on the analysis of large-scale sequencing data, integration of multi-omics datasets, and modeling of microbial interactions. Students will engage with current research literature and present selected topics in the seminar. This seminar is particularly suitable for specialization in bioinformatics, microbiology, systems biology, or data analysis in the life sciences. |
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Objectives | Students will gain an in-depth understanding of bioinformatic methods for microbial data analysis. They will learn to identify relevant data sources, select suitable software tools, and critically interpret analytical results. Furthermore, students will improve their academic skills by independently reviewing and presenting complex topics from the scientific literature. |
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Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Nahnsen | |
Literature | Voraussetzungen: Grundkenntnisse in Bioinformatik und Molekularer Biologie --- Prerequisites: Basic knowledge in bioinformatics and molecular biology is required. / |
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Last offered | unknown | |
Planned for | currently not planned | |
Assigned Study Areas |