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

Semester fall semester 2026
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 German
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Thursday 14.15-16.00 Biozentrum, Seminarraum U1.197

Dates

Date Time Room
Thursday 17.09.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 24.09.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 01.10.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 08.10.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 15.10.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 22.10.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 29.10.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 05.11.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 12.11.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 19.11.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 26.11.2026 14.15-16.00 Biozentrum, Hörsaal U1.101
Thursday 03.12.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 10.12.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Thursday 17.12.2026 14.15-16.00 Biozentrum, Seminarraum U1.197
Modules Doctorate Computer Science: Recommendations (PhD subject: Computer Science)
Kernfächer und Seminar (Master's Studies: Computational Biology and Bioinformatics)
Modul: Foundations in Physics of Life (Master's Studies: Physics of Life)
Module: Applications of Distributed Systems (Master's Studies: Computer Science (Start of studies before 01.08.2026))
Module: Applications of Machine Intelligence (Master's Studies: Computer Science (Start of studies before 01.08.2026))
Module: Concepts of Machine Intelligence (Master's degree subject: Computer Science (Start of studies before 01.08.2026))
Module: Electives in Data Science (Master's Studies: Data Science)
Module: Machine Intelligence (Master's Studies: Computer Science)
Module: Machine Intelligence (Master's degree subject: Computer Science)
Module: Machine Learning Foundations (Master's Studies: Data Science)
Assessment format continuous assessment
Assessment details Oral exam: in order to participate, you need to hand in at least 70% of all exercise sheets.
Expected dates: January 13/14, 2027.
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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