Zurück
| Semester | Frühjahrsemester 2021 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Marcel Lüthi (marcel.luethi@unibas.ch)
Volker Roth (volker.roth@unibas.ch) Thomas Vetter (thomas.vetter@unibas.ch, BeurteilerIn) |
| Inhalt | In this seminar we will discuss together the main concepts of reasoning under uncertainty. We will discuss questions such as: How is uncertainty represented and quantified? How can we use probability theory to reason under uncertainty? How can we make good decisions if we have uncertain information? We will also discuss different methods for learning from examples and look at strategies to learn when no examples, but only an assessment of the outcome of a situation is available (reinforcement learning). Finally, we will see these methods in application in the context of natural language processing. Each participant will be assigned a topic, which he/she will summarize and present during the seminar. The topic is studied individually by the student, with the help of a tutor. |
| Lernziele | At the end of the course, students should have a good overview of different formalisms, methods and strategies to reason about uncertainty. Participants should also have learned to study, summarize and present scientific literature to a peer group in an understandable and instructive way. |
| Literatur | Stuart Russel, Peter Norvig, Artificial Intelligence: A Modern Approach. |
| Weblink | Webseite Fachbereich Informatik |
| Teilnahmebedingungen | Open to Master and PhD students with basic knowledge in probability theory and statistics, linear algebra and some first introduction to learning, as for example taught in the course pattern recognition. The number of participants is limited to 20 students. A binding seminar registration can be made by sending an email to Marcel Lüthi (marcel.luethi@unibas.ch) on a first-come-first-served basis. To confirm the registration, each student has to participate in the first lecture. If a participation is not possible due to urgent cases, please send an email to marcel.luethi@unibas.ch. |
| Anmeldung zur Lehrveranstaltung | https://courses.cs.unibas.ch The number of participants is limited to 20 students. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Montag | 10.15-12.00 | - Online Präsenz - |
| Datum | Zeit | Raum |
|---|---|---|
| Montag 01.03.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 08.03.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 15.03.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 22.03.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 29.03.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 05.04.2021 | 10.15-12.00 Uhr | Ostern |
| Montag 12.04.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 19.04.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 26.04.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 03.05.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 10.05.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 17.05.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Montag 24.05.2021 | 10.15-12.00 Uhr | Pfingstmontag |
| Montag 31.05.2021 | 10.15-12.00 Uhr | - Online Präsenz -, -- |
| Module |
Doktorat Informatik: Empfehlungen (Promotionsfach: Informatik) Modul: Applications of Distributed Systems (Masterstudium: Computer Science) Modul: Applications of Machine Intelligence (Masterstudium: Computer Science) Modul: Computer Science Project (Master Studienfach: Computer Science) Modul: Methods of Machine Intelligence (Masterstudium: Computer Science) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | The final grade of the course is composed of the grade from 4 individual parts: - A presentation about one of the topics discussed in the course book - A written report, summarizing the same topic - A review of a report of another student - An oral exam in the last week of semester (online) |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Fachbereich Informatik |