Seminar: Independent Study Course: Information Theory - Details

Seminar: Independent Study Course: Information Theory - Details

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General information

Course name Seminar: Independent Study Course: Information Theory
Subtitle
Course number 8.3451
Semester SoSe 2020
Current number of participants 24
Home institute LE Cognitive Science
Courses type Seminar in category Offizielle Lehrveranstaltungen
First date Friday, 24.04.2020 08:00 - 10:00
Type/Form
SWS 2
Sprache Englisch
ECTS points 4

Rooms and times

No room preference
Friday: 08:30 - 10:00, weekly(2x)

Comment/Description

Since its beginnings, information theory is closely connected with
computer and neuroscience and provides a sound framework to address
various problems in these fields. This course will cover the central
notions and fundamental results of information theory and then look on
applications in machine learning, statistical inference and computer
vision, based on selected parts of [1].

The ideal participant of this class would have some background in
machine learning or neuroinformatics. S/he should enjoy mathematical
thinking and be prepared to work through formal problems in decent
detail. Familiarity with basic calculus, probability theory, and
linear algebras does not harm, but is no hard requirements for this
course.

[1] David MacKay (2005): Information Theory, Inference, and Learning Algorithms
Cambridge University Press