Introduction to Artificial Intelligence

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.

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 time, which is formally divided into tutorial and lecture but will rather be used for an interactive exchange between students and with the teacher in a flexible format. The course is taught by a team of lecturers from different subfields of artificial intelligence.

Exam (Prüfungsformen): A final written exam.



Course type
Summer Term 2021
moodle course available


Takes place every week on Friday from 12:15 to 13:45.
First appointment is on 16.04.2021
Last appointment is on 23.07.2021
Takes place every week on Friday from 10:15 to 11:45.
First appointment is on 16.04.2021
Last appointment is on 23.07.2021

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210