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

Semester spring semester 2019
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

No dates available. Please contact the lecturer.

Modules Module Specialisation: Computational Intelligence (Bachelor's Studies: Computer Science (Start of studies before 01.08.2016))
Module Specialisation: Computer Science of Life Science (Bachelor's Studies: Computer Science (Start of studies before 01.08.2016))
Module: Applications and Related Topics (Bachelor's Studies: Computer Science)
Module: Computational Biology (Bachelor's Studies: Computational Sciences) (Pflicht)
Module: Computational Chemistry (Bachelor's Studies: Computational Sciences)
Module: Computational Physics (Bachelor's Studies: Computational Sciences)
Module: Computational Sciences II (Bachelor's Studies: Computational Sciences)
Module: Physical Chemistry/ Biophysical Chemistry (Bachelor's Studies: Biology)
Vertiefungsmodul: Bioinformatik (Bachelor's Studies: Computer Science (Start of studies before 01.08.2010)) (Pflicht)
Vertiefungsmodul: Computer Science (Bachelor's Studies: 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.
Exam: Monday, 3 June 2019, 14-16h, Pharmazentrum HS 1
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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