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25661-01 - Lecture with practical courses: Computational Systems Biology (6 CP)

Semester fall semester 2011
Course frequency Every fall sem.
Lecturers Erik van Nimwegen (erik.vannimwegen@unibas.ch, Assessor)
Mihaela Zavolan (mihaela.zavolan@unibas.ch)
Content In computational biology one typically has to deal with large biological data sets that are noisy and of very heterogeneous quality. In addition our knowledge of the biological systems is always highly incomplete and rife with uncertainties. The lecture series will present a general mathematical formalism called 'probability theory as extended logic' for 'reasoning' with incomplete and noisy data. This formalism unites methodologies from Bayesian statistics, statistical inference, and learning theory, information theory, and statistical mechanical theory. The theoretical exposition will be accompanied by detailed examples of realistic applications. The applications will include both general problems of interest to natural scientists as well as specific applications from current research in computational biology. The
acquired knowledge is deepened with practical exercises that should be done at home, and are discussed in the exercises session.
Weblink http://www.biozentrum.unibas.ch/fileadmi

 

Admission requirements Knowledge of advanced calculus and linear algebra.
Exercises require work on the computer and some experience with programming is highly beneficial.
Language of instruction English
Use of digital media Online, optional

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Cycle E: Computational and Systems Biology (PhD subject: Biochemistry)
Cycle E: Computational and Systems Biology (PhD subject: Biophysics)
Cycle E: Computational and Systems Biology (PhD subject: Genetics)
Cycle E: Computational and Systems Biology (PhD subject: Microbiology)
Cycle E: Computational and Systems Biology (PhD subject: Cell Biology)
Cycle E: Computational and Systems Biology (PhD subject: Pharmacology)
Cycle E: Computational and Systems Biology (PhD subject: Neurobiology)
Cycle E: Computational and Systems Biology (PhD subject: Bioinformatics)
Cycle E: Computational and Systems Biology (PhD subject: Structural Biology)
Cycle E: Computational and Systems Biology (Master Molecular Biology)
Module Specialisation: Molecular Biology (Master Nanosciences)
Assessment format continuous assessment
Assessment details Overall achievements (pass/fail) will be based on performance in the exercises.
Assessment registration/deregistration Reg.: course registration; dereg.: teaching staff
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Departement Biozentrum

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