Introduction to Artificial Intelligence

NUMMER: 211045
KÜRZEL: AI
MODULBEAUFTRAGTE:R: Prof. Dr. Gregor Schöner
DOZENT:IN: Prof. Dr. Gregor Schöner
FAKULTÄT: Fakultät für Informatik
SPRACHE: Englisch
SWS: 4 SWS
CREDITS: 5 CP
WORKLOAD: 150 h
ANGEBOTEN IM: jedes Sommersemester

LERNFORM

This course is given with the flipped/inverted classroom concept. The
students work through online material beforehand and this will then be deepened in the contact sessions,
which will be used for an interactive exchange between students and with the lecturer in a flexible format.

LERNZIELE

After successful completion of this course, students will be able to
* summarize a number of fundamental methods in artificial intelligence,
* explain their mathematical basis and algorithmic nature,
* apply them to simple problems,
* decide which methods are suitable for which problems, and
* communicate about the all that in English.

INHALT

This course gives an overview over representative methods in artificial intelligence:
formal logic and reasoning, classical methods of AI, probabilistic reasoning, machine learning, deep neural
networks, computational neuroscience, neural dynamics, perception, natural language processing, robotics.

VORAUSSETZUNGEN CREDITS

Bestandene Modulabschlussprüfung

EMPFOHLENE VORKENNTNISSE

Basic knowledge of calculus and linear algebra.

SONSTIGE INFORMATIONEN

Diese Veranstaltung wird von verschieden Dozierenden gehalten.