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43513-01 - Praktikum: Programming for Life Sciences (4 KP)
| Semester | Herbstsemester 2018 |
| Angebotsmuster | Jedes Herbstsemester |
| Dozierende |
Geoffrey Fucile (geoffrey.fucile@unibas.ch)
Torsten Schwede (torsten.schwede@unibas.ch) Mihaela Zavolan (mihaela.zavolan@unibas.ch, BeurteilerIn) |
| Inhalt | Together with new measurement technologies, the use of computational and mathematical approaches that exploit modern information technology in the study of biological systems have brought about a deep transformation in the practice of molecular biology research. To take advantage of the new opportunities, the new generation of biologists should be highly competent not only in their experimental work but also in the development and use of mathematical and computational methods. This course aims to train the students into the proficient use of programming in analyzing data derived from projects in life sciences. The course is focused on the widely used Python programming language, with a few examples from other commonly used languages such as R and Matlab. |
| Lernziele | By the end of the course, students should be comfortable with accessing and analyzing a wide variety of biological data. Concepts such as reproducibility, modularity, interoperability, and scalability will be emphasised. |
| Bemerkungen | ATTENTION - to contact Geoffrey Fucile use follow E-Mail: geoffrey.fucile@unibas.ch Course registration is limited to 15 students. In the case of over-subscription to the course, selection will be based on the suitability of participants. |
| Weblink | Graduate Teaching Program |
| Teilnahmevoraussetzungen | Basic knowledge of computing systems, programming languages and algorithms are required. The course is focused on the widely used Python programming language in a UNIX context. Students should be comfortable with the material covered in basic tutorials in these languages, for example: https://edu.isb-sib.ch/course/view.php?name=UNIX_I http://learnpython.org/ https://www.codecademy.com/learn/python Students will require a sciCORE account, which can be requested with an email to scicore-admin@unibas.ch (please indicate the PI of your lab group). |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|
Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Cycle E: Computational and Systems Biology (Masterstudium: Molekularbiologie) Doktorat Biochemie: Empfehlungen (Promotionsfach: Biochemie) Doktorat Biophysik: Empfehlungen (Promotionsfach: Biophysik) Doktorat Computational Biology: Empfehlungen (Promotionsfach: Computational Biology) Doktorat Genetik: Empfehlungen (Promotionsfach: Genetik) Doktorat Mikrobiologie: Empfehlungen (Promotionsfach: Mikrobiologie) Doktorat Molekularbiologie: Empfehlungen (Promotionsfach: Molekularbiologie) Doktorat Neurobiologie: Empfehlungen (Promotionsfach: Neurobiologie) Doktorat Pharmakologie: Empfehlungen (Promotionsfach: Pharmakologie) Doktorat Strukturbiologie: Empfehlungen (Promotionsfach: Strukturbiologie) Doktorat Zellbiologie: Empfehlungen (Promotionsfach: Zellbiologie) Vertiefungsfächer Theorie und Vertiefungsfächer Biologie (Masterstudium: Computational Biology and Bioinformatics) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | Students must attend at least 80% of the sessions and actively contribute to discussion. Each student will develop, execute, and report the results of an independent project related to the computational methods discussed during the course. Ideally, students will develop their independent project around data from their own research. |
| 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 | Departement Biozentrum |