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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 | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Tuesday | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| 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 |
| Tuesday 22.09.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 24.09.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 29.09.2026 | 13.15-14.00 | Termin entfällt, -- |
| Thursday 01.10.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 06.10.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 08.10.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 13.10.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 15.10.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 20.10.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 22.10.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 27.10.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 29.10.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 03.11.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 05.11.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 10.11.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 12.11.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 17.11.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 19.11.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 24.11.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 26.11.2026 | 14.15-16.00 | Biozentrum, Hörsaal U1.101 |
| Tuesday 01.12.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 03.12.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 08.12.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| Thursday 10.12.2026 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Tuesday 15.12.2026 | 13.15-14.00 | Alte Universität, Seminarraum -201 |
| 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 13/14/14/15, 2027. Spiegelgasse 1, room 00.003. |
| 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 |