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| Semester | Frühjahrsemester 2022 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Erik van Nimwegen (erik.vannimwegen@unibas.ch, BeurteilerIn) |
| Inhalt | This course provides a general introduction into quantitative analysis of data. Students will be introduced to the modern view of probability theory as a general method for reasoning with incomplete information and, guided by practical examples taken from computational biology, will get acquainted with the most important concepts and methods used in statistical analysis and modeling of data. By the end of the course students should have gained a solid understanding of the fundamentals of probabilistic analysis, and how to apply it to analyze biological data. The course also acts to introduce the probabilistic methods which are used in the more sophisticated computational biology applications that are presented in the course Computational Biology II (27247). |
| Bemerkungen | The groups for the exercises will be formed in the first lecture. |
| Weblink | https://adam.unibas.ch |
| Teilnahmebedingungen | Students should fulfil the following prerequisites: - Mathematics Background: Although no formal requirements are made, the course assumes that students are comfortable with mathematical methods including analysis, calculus, and linear algebra, at a fairly advanced level. - Computer Science Background: Although not required, familiarity with the basic of programmings and/or usage of software such as Maple and Matlab, is helpful. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot obligatorisch |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Montag | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Datum | Zeit | Raum |
|---|---|---|
| Montag 21.02.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 28.02.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 07.03.2022 | 14.15-16.00 Uhr | Fasnachtsferien |
| Montag 14.03.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 21.03.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 28.03.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 04.04.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 11.04.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 18.04.2022 | 14.15-16.00 Uhr | Ostern |
| Montag 25.04.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 02.05.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 09.05.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 16.05.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 23.05.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Montag 30.05.2022 | 14.15-16.00 Uhr | Biozentrum, Seminarraum U1.197 |
| Module |
Modul: Applications and Related Topics (Bachelorstudium: Computer Science) Modul: Computational Biology (Bachelorstudium: Computational Sciences) Modul: Computational Biology (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) (Pflicht) Modul: Computational Chemistry (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Computational Physics (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Computational Sciences II (Bachelorstudium: Computational Sciences (Studienbeginn vor 01.08.2018)) Modul: Computational Sciences II (Bachelorstudium: Computational Sciences) Modul: Physikalische Chemie / Biophysikalische Chemie (Bachelorstudium: Biologie) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The exercises have to be solved on computers, and the results have to be sent in by email. Students are asked to discuss their solutions at the exercise sessions. Attendance of these exercise sessions is obligatory. In addition to the results of the exercises, there will be a written exam at the end of the course. Exam: Friday, 10.06.2022, 14:15-16:00h, Biozentrum, lecture hall U1.101 |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Departement Biozentrum |