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23605-01 - Lecture: Computational Biology I: Quantitative Data Analysis (4 CP)

Semester spring semester 2022
Further events belonging to these CP 23605-01 (Lecture)
23605-02 (Practical course)
23605-03 (Practical course)
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 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 Biozentrum, Seminarraum U1.197

Dates

Date Time Room
Monday 21.02.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 28.02.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 07.03.2022 14.15-16.00 Fasnachtsferien
Monday 14.03.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 21.03.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 28.03.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 04.04.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 11.04.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 18.04.2022 14.15-16.00 Ostern
Monday 25.04.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 02.05.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 09.05.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 16.05.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 23.05.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
Monday 30.05.2022 14.15-16.00 Biozentrum, Seminarraum U1.197
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: Friday, 10.06.2022, 14:15-16:00h, Biozentrum, lecture hall U1.101
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

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