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23605-01 - Lecture: Computational Biology I: Quantitative Data Analysis (4 CP)
| Semester | spring semester 2016 |
| Further events belonging to these CP |
23605-01 (Lecture) 23605-02 (Practical course) 23605-03 (Practical course) 23605-04 (Practical course) 23605-05 (Practical course) |
| Course frequency | Every spring sem. |
| Lecturers |
Erik van Nimwegen (erik.vannimwegen@unibas.ch, Assessor)
Mihaela Zavolan (mihaela.zavolan@unibas.ch) |
| Content | 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). |
| Comments | The groups for the exercises will be formed in the first lecture |
| Weblink | https://adam.unibas.ch |
| Admission requirements | 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. |
| Language of instruction | English |
| Use of digital media | Online, mandatory |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Module Computational Biology (Bachelor Computational Sciences) (Pflicht) Module Computational Chemistry (Bachelor Computational Sciences) Module Computational Physics (Bachelor Computational Sciences) Module Computational Sciences II (Bachelor Computational Sciences) Module Physical / Biophysical Chemistry (Bachelor Biology) Module Specialisation: Computational Intelligence (Bachelor Computer Science) Module Specialisation: Computer Science of Life Science (Bachelor Computer Science) Vertiefungsmodul Bioinformatik (Bachelor Computer Science (Start of studies before 01.08.2010)) (Pflicht) Vertiefungsmodul Computer Science (Bachelor Computer Science (Start of studies before 01.08.2010)) |
| Assessment format | continuous assessment |
| Assessment details | 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. |
| Assessment registration/deregistration | Reg.: course registration; dereg.: teaching staff |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,5 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Departement Biozentrum |