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Semester | fall semester 2019 |
Course frequency | Every fall sem. |
Lecturers |
Daniela Brites (d.brites@unibas.ch)
Pascal Mäser (pascal.maeser@unibas.ch, Assessor) |
Content | Advances in molecular technologies such as genome sequencing, microarrays, and additional high-throughput technologies are dramatically changing the skill sets required by biologists. Although an increasing number of corresponding computer programmes are available with 'easy-to-use' interfaces, the interpretation of their results, and communicating in interdisciplinary teams, including computer scientists, mathematicians and engineers requires a basic understanding of computational approaches. In this lecture of application-oriented bioinformatics, students learn basic skills for computational analysis of data from large-scale experiments. Topics include the presentation of large-scale experimental approaches, data management and examples of popular tools and web resources. More advanced topics will cover computational skills and the analysis of biological sequences. |
Learning objectives | To raise the awareness of computational requirements for experimental biologists and epidemiologists |
Comments | Methods: Lectures and practicals |
Language of instruction | English |
Use of digital media | No specific media used |
Interval | Weekday | Time | Room |
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No dates available. Please contact the lecturer.
Modules |
Courses: Master Infection Biology (Master's Studies: Infection Biology) (Pflicht) Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) |
Assessment format | continuous assessment |
Assessment details | Written final exam |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
Repeat examination | no repeat examination |
Scale | Pass / Fail |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
Offered by | Schweizerisches Tropen- und Public Health-Institut |