E-learning course overview


Monday August 28, 2021

  • 13:30-14:00 Introduction: Theory and Experiment [Gregor Schöner
  • 14:30-15:00 Decision making and its adaptation [Robert Schmidt]
  • 15:00-15:30 Experimental design [Raul Grieben]
  • Coffee break
  • 16:00-16:30 Experiments in the Tatool environment [Minseok Kang]
  • 16:30-17:00 Experimental statistics [Raul Grieben]
  • 17:00-17:30 Experimental statistics: hands-on [Minseok Kang]
  • 17:30-18:00 Forming work groups/discussion

Tuesday August 28, 2021

  • 09:00-12:30 Groups working on projects
  • 10:00-10:30 Break-out session (optional): Experimental statistics 2 [Raul Grieben]
  • 10:30-11:00 Break-out session (optional): ANOVA [Stephan Sehring]
  • 11:00-11:30 Break out session (optional): Post-hoc tests [Daniel Sabinasz]
  • 12:30-13:30 Lunch
  • 13:30-15:00 Groups working on projects
  • 15:00-18:30 Hike

Wednesday, August 29, 2021

  • before 09:30 checking out 
  • 09:30-11:00 Group projects wrap up and preparing presentations
  • 11:00-12:00 Presentations of group projects
  • 12:00-12:30 Discussion
  • 12:30-13:30 Lunch
  • after 13:30 Departure



Course type
Summer Term 2023
e-learning course available

The hike on Tuesday afternoon: 

We will go by bus/car to a parking lot 6 km from our place and do circuit from there: 

Here a description: https://www.komoot.de/tour/1252391574?ref=aso&share_token=a5Jy1oVD5cmQt5Jm8YoNZGEaq33Pg4woCJ33HSheVDsFFJMOG6

Download this map to your iPhone if you want. 


Lecture slides Introduction [Gregor Schöner]
Lecture slides Decision making and its adaptation [Robert Schmidt]

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