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| Semester | fall semester 2022 |
| Course frequency | Every fall sem. |
| Lecturers | Jitao David Zhang (jitao-david.zhang@unibas.ch, Assessor) |
| Content | Applied mathematics and computer science are indispensable in modern drug discovery to enable decisions that have direct impacts on lives. 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. It is hoped that the students are exposed to the interdisciplinary and multiscale modelling nature of drug discovery, and are motivated to deepen their knowledge in relevant fields in future study and practice, to be able to solve open challenges in drug discovery. |
| Learning objectives | 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. |
| Bibliography | Lecture notes and slides. Recommend reading (papers, book chapters, etc.) and media (e.g. YouTube videos) will be distributed. |
| Weblink | www.amidd.ch |
| Admission requirements | Students of natrual sciences, including biology, physics, chemistry, pharmacy, and medical students are as much welcome as students of mathematics and computer sciences. Though no prerequisite courses are obligatory, elementary understanding of statistics, probability, calculus, and ordinary differential equations are helpful. High-school knowledge in physics, chemistry, and biology are required. Knowledge and proficiency in at least one programming language (preferably C/C++, Java, R, Python, or Julia) is very helpful to try real-world problems. |
| Course application | Due to the coronavirus pandemic, the course in fall semester 2021 will take place online by Zoom. To attend, join the meeting with this link: https://unibas.zoom.us/j/68803401669. The passcode required to join the meeting is shared among registered students with emails. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Friday | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Date | Time | Room |
|---|---|---|
| Friday 23.09.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 30.09.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 07.10.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 14.10.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 21.10.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 28.10.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 04.11.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 11.11.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 18.11.2022 | 12.15-14.00 | Kollegienhaus, Hörsaal 120 |
| Friday 25.11.2022 | 12.15-14.00 | Dies Academicus |
| Friday 02.12.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 09.12.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 16.12.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 23.12.2022 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Modules |
Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science) Module: Applications and Related Topics (Bachelor's Studies: Computer Science) Module: Applied Mathematics (Bachelor's Studies: Mathematics) Module: Electives in Data Science (Master's Studies: Data Science) |
| Assessment format | continuous assessment |
| Assessment details | Scores will be given in scale 1-6 by 0.5, by participation (20%), near-end-term presentation (30%), and end-term project work (50%). |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Fachbereich Mathematik |