- RUB
- Computer Science
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- Courses
- Selected Topics in Neurocomputing: Learning
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
![]() Daniel Vonk, M.Sc.Lecturer |
daniel.vonk@ini.rub.de |
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 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.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210