Seminar: Independent Study Course: Information Theory - Details

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

Lecturers

• Ulf Krumnack, Ph.D.
• Axel Schaffland, M. Sc.

Rooms and times

No room preference

Friday: 08:30 - 10:00, weekly(2x)

Fields of study

• Veranstaltungen > Cognitive Science > Master-Programm
• Veranstaltungen > Cognitive Science > Bachelor-Programm

Module assignments

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatics valid from WiSe 2019/20

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