Universität Wien
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250039 VO Artificial Intelligence (2022S)

6.00 ECTS (4.00 SWS), SPL 25 - Mathematik
REMOTE
Moodle

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Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
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Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

The course will be given online via Zoom.

  • Tuesday 01.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 02.03. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 08.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 09.03. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 15.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 16.03. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 22.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 23.03. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 29.03. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 30.03. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 05.04. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 06.04. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 26.04. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 27.04. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 03.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 04.05. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 10.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 11.05. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 17.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 18.05. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 24.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 25.05. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 31.05. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 01.06. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 08.06. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 15.06. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 21.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 22.06. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 28.06. 13:15 - 14:45 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 29.06. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

A selection of concepts, methods and techniques on the following topics:

Representing functions in AI
(neural networks, support vector machines, reproducing kernels)
Stochastic gradient algorithm (properties, convergence analysis)
AI for classification (pattern recognition)
AI for regression (predicting numerical data)
AI for games (reinforcement learning)
AI for mathematics (FMathL)
AI for external environments (agents)
AI for communication
Philosophy of AI

Let me see what I can actually cover; details will be decided from week to week.

Assessment and permitted materials

Exams are oral after the end of the semester, approx. 45 minutes, by
personal arrangement. Please send me an email at least one week before
the intended exam date; for exams during the semester breaks earlier.

Minimum requirements and assessment criteria

Prerequisite: Good knowledge of linear algebra and its numerical analysis

Examination topics

Relevant for the exam is what is covered in the lectures.

I'll create during the course lecture notes that will cover a large part of what is discussed.

Reading list

https://www.mat.univie.ac.at/~neum/ai.html

Association in the course directory

MAMV

Last modified: Fr 13.09.2024 00:15