- RUB
- Computer Science
- INI
- Courses
- Master Seminar: Machine Learning for Student Projects in Engineering
Master Seminar: Machine Learning for Student Projects in Engineering
The seminar targets two types of participants:
* Students can present regular progress reports of an engineering project (e.g., a student or semester project or a Masters thesis) with a significant connection to machine learning. The presentations are followed by a group discussion, as well as by feedback from the lecturers.
* Students can prepare a lecture-style presentation based on the provided literature, on a topic from the field of machine learning.
Presentations are held during seminar sessions. They are followed by a group discussion. Each participant must present one topic and
participate in the discussions.
Exam: presentations and discussions during the semester
Note: limited number of participants; priority is given to project groups
Lecturers
![]() Prof. Dr. Tobias GlasmachersLecturer |
(+49) 234-32-25558 tobias.glasmachers@ini.rub.de NB 3/27 |
![]() Prof. Dr. Laurenz WiskottLecturer |
(+49) 234-32-27997 laurenz.wiskott@ini.rub.de NB 3/29 |
Details
- Course type
- Seminars
- Credits
- 3
- Term
- Winter Term 2018/2019
Dates
- Seminar
-
Takes place
every week on Friday from 14:00 to 16:00 in room NB 3/57.
First appointment is on 12.10.2018
Last appointment is on 01.02.2019
Requirements
Some background in machine learning is recommended for presentations on topics from the literature.
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