Zurück zur Auswahl
60876-01 - Vorlesung: Mathematical and Computational Biology in Drug Discovery (2 KP)
| Semester | Frühjahrsemester 2025 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Jitao David Zhang (jitao-david.zhang@unibas.ch, BeurteilerIn) |
| Inhalt | 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. |
| Lernziele | 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. |
| Literatur | 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 |
| Teilnahmevoraussetzungen | 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. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot fakultativ |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Freitag | 12.15-14.00 | Spiegelgasse 5, Seminarraum 05.002 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Freitag 21.02.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 28.02.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 07.03.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 14.03.2025 | 12.15-14.00 Uhr | Fasnachstferien |
| Freitag 21.03.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 28.03.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 04.04.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 11.04.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 18.04.2025 | 12.15-14.00 Uhr | Ostern |
| Freitag 25.04.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 02.05.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 09.05.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 16.05.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 23.05.2025 | 12.15-14.00 Uhr | Spiegelgasse 5, Seminarraum 05.002 |
| Freitag 30.05.2025 | 12.15-14.00 Uhr | Auffahrt |
| Module |
Modul: Angewandte Mathematik (Bachelorstudium: Mathematik) Modul: Applications and Related Topics (Bachelorstudium: Computer Science) Modul: Applications and Related Topics (Bachelor Studienfach: Computer Science) Modul: Electives in Data Science (Masterstudium: Data Science) Modul: Machine Learning Foundations (Masterstudium: Data Science) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | The grade is given by offline activities (100%). |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Fachbereich Mathematik |