Seminar: Independent Study Course: Information Theory - Details

Allgemeine Informationen

Veranstaltungsname	Seminar: Independent Study Course: Information Theory
Untertitel
Veranstaltungsnummer	8.3451
Semester	SoSe 2020
Aktuelle Anzahl der Teilnehmenden	24
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Freitag, 24.04.2020 08:00 - 10:00
Art/Form
SWS	2
Sprache	Englisch
ECTS-Punkte	4

Lehrende

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

Räume und Zeiten

Keine Raumangabe

Freitag: 08:30 - 10:00, wöchentlich(2x)

Studienbereiche

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

Modulzuordnungen

• Bachelor of Science Informatik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Bachelor of Science Cognitive Science > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20
• Master of Science Mathematik > CS-BWP-NI - Neuroinformatik, gültig ab WiSe 2019/20

Kommentar/Beschreibung

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