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45401-01 - Lecture: Bioinformatics Algorithms (4 CP)

Semester fall semester 2021
Further events belonging to these CP 45401-01 (Lecture)
45401-02 (Practical course)
Course frequency Every fall sem.
Lecturers Volker Roth (volker.roth@unibas.ch, Assessor)
Content In this lecture, an introduction into main bioinformatics algorithms is provided. We will discuss both "classical" topics such as Hidden Markov Models, Markov chains, phylogenetic trees and "modern" approaches based on sophisticated (deep) learning models.
Learning objectives This lecture provides an introduction into algorithms and concepts that are important in computational biology / bioinformatics. Students can understand the main algorithmic design principles for problems like sequence alignment, motif finding and phylogenetic inference. Further, students get an overview of modern machine learning methods and their applications to bio-medical problems.
Bibliography R. Durbin: Biological sequence analysis
Aaron C. Courville, Ian Goodfellow und Yoshua Bengio: Deep Learning
Weblink link to course web page

 

Admission requirements Mathematische Methoden I
Mathematische Methoden II
Einführung in die Statistik
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room
wöchentlich Thursday 14.15-16.00 - Online Präsenz -

Dates

Date Time Room
Thursday 23.09.2021 14.15-16.00 --, --
Thursday 30.09.2021 14.15-16.00 --, --
Thursday 07.10.2021 14.15-16.00 --, --
Thursday 14.10.2021 14.15-16.00 --, --
Thursday 21.10.2021 14.15-16.00 --, --
Thursday 28.10.2021 14.15-16.00 --, --
Thursday 04.11.2021 14.15-16.00 --, --
Thursday 11.11.2021 14.15-16.00 --, --
Thursday 18.11.2021 14.15-16.00 --, --
Thursday 25.11.2021 14.15-16.00 --, --
Thursday 02.12.2021 14.15-16.00 --, --
Thursday 09.12.2021 14.15-16.00 --, --
Thursday 16.12.2021 14.15-16.00 --, --
Thursday 23.12.2021 14.15-16.00 --, --
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics)
Modul: Concepts of Machine Intelligence (Master's degree subject: Computer Science)
Module: Applications of Distributed Systems (Master's Studies: Computer Science)
Module: Applications of Machine Intelligence (Master's Studies: Computer Science)
Assessment format continuous assessment
Assessment details Oral exam
expected Dates: Wednesday, 15 December 2021 and Thursday, 16 December 2021
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 Fachbereich Informatik

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