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Semester | spring semester 2021 |
Course frequency | Every spring sem. |
Lecturers | Erik van Nimwegen (erik.vannimwegen@unibas.ch, Assessor) |
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 | Online lecture and exercise. 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 |
---|---|---|---|
wöchentlich | Monday | 14.15-16.00 | Chemie, Organische, Grosser Hörsaal OC |
Date | Time | Room |
---|---|---|
Monday 01.03.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 08.03.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 15.03.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 22.03.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 29.03.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 05.04.2021 | 14.15-16.00 | Ostern |
Monday 12.04.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 19.04.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 26.04.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 03.05.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 10.05.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 17.05.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 24.05.2021 | 14.15-16.00 | Pfingstmontag |
Monday 31.05.2021 | 14.15-16.00 | - Online Präsenz -, -- |
Monday 07.06.2021 | 14.00-16.00 | Pharmazentrum, Hörsaal 1 |
Modules |
Module: Applications and Related Topics (Bachelor's Studies: Computer Science) Module: Computational Biology (Bachelor's Studies: Computational Sciences) Module: Computational Biology (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) (Pflicht) Module: Computational Chemistry (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Computational Physics (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Computational Sciences II (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Computational Sciences II (Bachelor's Studies: Computational Sciences) Module: Physical Chemistry/ Biophysical Chemistry (Bachelor's Studies: Biology) |
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. Exam: Monday, 07.06.2021, 2:15-4 pm, Pharmazentrum, HS1 |
Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
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 |