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45366-01 - Seminar: Machine Intelligence 6 KP

Semester Frühjahrsemester 2020
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 filling in a form in Spiegelgasse 1 (1st floor, Mario Wieser) 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 mario.wieser@unibas.ch or 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 wöchentlich
Datum 17.02.2020 – 25.05.2020
Zeit Montag, 10.15-12.00 Spiegelgasse 1, Seminarraum 00.003
Datum Zeit Raum
Montag 17.02.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 24.02.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 02.03.2020 10.15-12.00 Uhr Fasnachtsferien
Montag 09.03.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 16.03.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 23.03.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 30.03.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 06.04.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 13.04.2020 10.15-12.00 Uhr Ostern
Montag 20.04.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 27.04.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 04.05.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 11.05.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 18.05.2020 10.15-12.00 Uhr Spiegelgasse 1, Seminarraum 00.003
Montag 25.05.2020 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 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 (31.5. 2018 and 1.6.2018 )
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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