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.

Lecturers

Details

Course type
Lectures
Credits
5
Term
Summer Term 2021
E-Learning
moodle course available

Dates

Lecture
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
Tutorial
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

About the INI

The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and 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 psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.

Contact

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

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

sekretariat@ini.rub.de
www.ini.rub.de