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| Semester | spring semester 2024 |
| Course frequency | Every spring sem. |
| Lecturers | Jitao David Zhang (jitao-david.zhang@unibas.ch, Assessor) |
| Content | Mathematical and computational biology is essential to the interdisciplinary enterprise of disease understanding, target identification, and drug discovery. This introductory course will offer a practitioner's review of concepts and techniques in computational biology that are applied in drug discovery research. It is a follow-up course of the introductory course to Applied Mathematics and Informatics in Drug Discovery (AMIDD) in fall semesters. This course aims at interested students who wish to learn more about computational biology, bioinformatics, and mathematical and statistical modelling in drug discovery. |
| Learning objectives | 1. We discuss challenges and questions in modern drug discovery that are addressed by computational biology approaches. 2. We introduce basic concepts and tools, as well as recent topics and progress in computational biology research that are used in drug discovery. 3. We encourage interdisciplinary thinking, active learning, and teamwork. |
| Bibliography | Papers and book chapters will be assigned as required, recommended, or optional reading. Lecture material is shared on the course's website, http://www.mcbdd.ch. |
| Weblink | www.mcbdd.ch |
| Admission requirements | For students with a background other than bioinformatics and computational biology, it is recommended to finish the AMIDD course in the fall semester first before attending this course. |
| Language of instruction | English |
| Use of digital media | Online, optional |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Friday | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Date | Time | Room |
|---|---|---|
| Friday 01.03.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 08.03.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 15.03.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 22.03.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 29.03.2024 | 12.15-14.00 | Ostern |
| Friday 05.04.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 12.04.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 19.04.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 26.04.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 03.05.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 10.05.2024 | 12.15-14.00 | Auffahrt |
| Friday 17.05.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 24.05.2024 | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
| Friday 31.05.2024 | 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) Module: Machine Learning Foundations (Master's Studies: Data Science) |
| Assessment format | continuous assessment |
| Assessment details | The grade is given by offline activities (100%). |
| 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 | Fachbereich Mathematik |