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45366-01 - Seminar: Machine Intelligence 6 KP

Semester Frühjahrsemester 2022
Angebotsmuster Jedes Frühjahrsem.
Dozierende Marcel Lüthi (marcel.luethi@unibas.ch)
Volker Roth (volker.roth@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 Online-Angebot fakultativ

 

Intervall wöchentlich
Datum 21.02.2022 – 30.05.2022
Zeit Montag, 10.15-12.00 Spiegelgasse 1, Seminarraum 00.003
Datum Zeit Raum
Montag 21.02.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 28.02.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 07.03.2022 10.15-12.00 Uhr Fasnachtsferien
Montag 14.03.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 21.03.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 28.03.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 04.04.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 11.04.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 18.04.2022 10.15-12.00 Uhr Ostern
Montag 25.04.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 02.05.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 09.05.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 16.05.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 23.05.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 30.05.2022 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
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 3 individual parts:
- A presentation about one of the topics discussed in the course book
- A written report, summarizing this (and related) topic(s).
- A review of a report of another student


An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
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

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