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

Semester spring semester 2024
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 U1.193

Dates

Date Time Room
Monday 26.02.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 04.03.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 11.03.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 18.03.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 25.03.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 08.04.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 15.04.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 22.04.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 29.04.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 06.05.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 13.05.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 27.05.2024 14.15-16.00 Biozentrum, Seminarraum U1.193
Monday 03.06.2024 14.15-16.00 Biozentrum, Hörsaal U1.101
Modules Modul: Computational Biology (Bachelor's Studies: Computational Sciences)
Modul: Computational Biology (Bachelor's Studies: Computational Sciences)
Modul: Computational Biology (Bachelor's Studies: Computational Sciences)
Modul: Computational Biology (Bachelor's Studies: Computational Sciences)
Modul: Computational Methods (Bachelor's Studies: Computational Sciences)
Modul: Computational Methods (Bachelor's Studies: Computational Sciences)
Modul: Computational Methods (Bachelor's Studies: Computational Sciences)
Modul: Computational Methods (Bachelor's Studies: Computational Sciences)
Module: Applications and Related Topics (Bachelor's Studies: Computer Science)
Module: Computational Biology (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2023))
Module: Computational Sciences II (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2023))
Module: Molecular Biology (Bachelor's Studies: Biology)
Module: Physical Chemistry/ Biophysical Chemistry (Bachelor's Studies: Biology (Start of studies before 01.08.2022))
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: 03.06.2024, 14:15-16:00h, Biozentrum, Hörsaal 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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