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| Semester | fall semester 2022 |
| 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 | Thursday | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Date | Time | Room |
|---|---|---|
| Thursday 22.09.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 29.09.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 06.10.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 13.10.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 20.10.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 27.10.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 03.11.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 10.11.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 17.11.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 24.11.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.191 |
| Thursday 01.12.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.191 |
| Thursday 08.12.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 15.12.2022 | 14.15-16.00 | Biozentrum, Seminarraum U1.197 |
| Thursday 22.12.2022 | 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: 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) Module: Electives in Data Science (Master's Studies: Data 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 exam Dates: 11/12 January 2023, room 00.003, Spiegelgasse 1 (several options, details will be announced in the lecture). |
| 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 |