Selected Topics in Neurocomputing: Learning

The course will take place as planned with Daniel Vonk as lecturer.

Pre-registration is not necessary, but you can already enrol on Moodle:

https://moodle.ruhr-uni-bochum.de/m/course/view.php?id=14444

Attendance is required on the first day, when you will receive the topic of your presentation.

Dieses interdisziplinäre Seminar beleuchtet das Phänomen "Lernen" von verschiedenen Standpunkten aus. Zunächst werden biologische und psychologische Grundlagen des Lernens behandelt, dann verschiedene Ansätze, um lernende Maschinen zu bauen.

Lecturers

Details

Course type
Seminars
Credits
3 CP
Term
Winter Term 2018/2019

Dates

Seminar
Takes place every week on Tuesday from 16:15 to 17:45 in room NB 3/72.
First appointment is on 09.10.2018
Last appointment is on 29.01.2019

Requirements

Da es sich um ein interdisziplinäres Seminar handelt, richtet es sich an Studierende der Fakultäten Biologie, Elektrotechnik, Informatik, Mathematik, Medizin, Philosophie, Physik und Psychologie. Bei erfolgreicher Teilnahme wird ein Schein über das Seminar ausgestellt, der bei den verschiedenen Fakultäten anerkannt werden kann.

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