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Applied Mathematics and Informatics in Drug Discovery (University of Basel)
Last Updated: 2026-06-01 11:30:51
Abstract
This introductory course will offer a practitioner’s review of mathematical concepts, informatics tools, and industrial approaches in relevant fields, especially bioinformatics, molecular modelling, cheminformatics, mathematical modelling, experiment design and statistical inference, and machine learning.
Objective
We explore the drug-discovery process and study applications of mathematics and informatics with case studies. We examine how mathematics concepts and informatics tools are used to model complex systems at multiple levels - molecular level, cellular and omics level, organ- and system-level, and population level - and how the multiscale modelling approach contributes to drug discovery.
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Applied Mathematics and Informatics in Drug Discovery (University of Basel)
**Course at University of Basel**
|
No time listed | 2 h weekly |
Offered In
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Computational Biology and Bioinformatics Master (Weitere Informationen: )
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Vertiefungsfächer (In den Vertiefungsfächern müssen insgesamt 30 ECTS erworben werden. Davon mindestens 16 ECTS in der Unterkategorie Theorie und mindestens 10 ECTS in der Unterkategorie Biologie.)
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Biologie (Mindestens 10 ECTS müssen in dieser Unterkategorie erworben werden.)
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