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| Semester | Frühjahrsemester 2017 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Erik van Nimwegen (erik.vannimwegen@unibas.ch, BeurteilerIn)
Mihaela Zavolan (mihaela.zavolan@unibas.ch) |
| 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 |
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Keine Einzeltermine verfügbar, bitte informieren Sie sich direkt bei den Dozierenden.
| Module |
Modul Applications and Related Topics (Bachelor Computer Science) Modul Computational Biology (Bachelor Computational Sciences) (Pflicht) Modul Computational Chemistry (Bachelor Computational Sciences) Modul Computational Physics (Bachelor Computational Sciences) Modul Computational Sciences II (Bachelor Computational Sciences) Modul: Physikalische Chemie / Biophysikalische Chemie (Bachelor Biologie) Vertiefungsmodul Bioinformatik (Bachelor Informatik (Studienbeginn vor 01.08.2010)) (Pflicht) Vertiefungsmodul Computational Intelligence (Bachelor Informatik (Studienbeginn vor 01.08.2016)) Vertiefungsmodul Computer Science (Bachelor Informatik (Studienbeginn vor 01.08.2010)) Vertiefungsmodul Life Science-Informatik (Bachelor Informatik (Studienbeginn vor 01.08.2016)) |
| 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. |
| 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 |