About our Teaching

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The interdisciplinary nature of research at the INI and the diverse disciplinary background of INI researchers are reflected in our teaching program. We offer courses, lab classes, and seminars that cover a wide range of areas from mathematics, computer science, robotics, computer vision, to neuroscience and psychology. See the listings under "Courses", organized by winter vs. summer term. The INI is responsible for a cross-disciplinary degree program in Applied Computer Science ("Angewandte Informatik"), whose Dean of Studies is Prof. Dr. Laurenz Wiskott. Many departments of the RUB contribute to that program, which is presented on a separate set of web pages. The INI also offers a special Graduate degree Neurcomputing that can be earned by taking INI classes beyond a regular degree. At the INI we enjoy teaching students from many other disciplines including physics, mathematics, electrical engineering, mechanical engineering, psychology, biology, cognitive science, philosophy, linguistics, and others. In some cases, students take our courses as electives. In other cases, we have special offers (e.g., lab classes for biologists) or are a fixed part of a degree program (e.g., cognitive science). Under "Bachelor and Master Thesis Projects" and "Study Projects" you find our offers of topics for such projects to students from different disciplines.

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