Vorlesung und Übung: Machine Learning (Lecture + Practice) - Details

General information

Course name	Vorlesung und Übung: Machine Learning (Lecture + Practice)
Subtitle
Course number	8.3072
Semester	SoSe 2019
Current number of participants	191
Home institute	LE Cognitive Science
Courses type	Vorlesung und Übung in category Offizielle Lehrveranstaltungen
First date	Tuesday, 02.04.2019 14:00 - 16:00, Room: 66/E33
Type/Form
Participants	ab 4. Semester
SWS	6
Primary Language of Instruction	Englisch / English
ECTS points	12

Lecturers

• Prof. Dr.-Ing. Gunther Heidemann
• Ulf Krumnack, Ph.D.
• Axel Schaffland, M. Sc.

Tutors

• Nina Mainusch
• Till Nicke
• Martha Domhöfer
• Vanessa Toborek
• Paul Wecker
• Sahar Niknam

Rooms and times

66/E33

Tuesday: 14:00 - 16:00, weekly (14x)

32/102

Wednesday: 10:00 - 12:00, weekly (13x)

66/E34

Thursday: 12:00 - 14:00, weekly (13x)

Fields of study

• Veranstaltungen > Cognitive Science > Bachelor-Programm
• Courses Open to Exchange Students > Human Sciences (e.g. Cognitive Science, Psychology)
• Schnupperstudium > Schnupper Uni > Cognitive Science
• Veranstaltungen > Informatik > Importmodule
• Uni für Alle > Cognitive Science

Comment/Description

Prerequisites: None

Being a mainly academic topic about 20 years ago, Machine Learning has become a discipline of major impact on both science and engineering by today. This course introduces the basics of Machine Learning and Data Mining. Major topics are concept learning, decision trees, problems of data in high dimensional representations, clustering algorithms, linear and nonlinear dimension reduction, artificial neural networks (e.g. multilayer perceptrons, RBF networks, self-organizing maps), classification methods, reinforcement learning, modeling uncertainty and temporal probability models.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".

The following rules apply for the admission:

• Admission locked.