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  • Preparatory Course: Mathematics and Computer Science for Modeling

Preparatory Course: Mathematics and Computer Science for Modeling

The "Computer Science and Mathematics" preparatory course will combine a hands-on introduction to programming in python with a revision of elementary mathematical concepts. The topics include data types, data structures, control structures and data visualisation on the programming side and they will be applied to vector/matrix calculation, integration/differentiation of functions and differential equations.

The course is meant for students who are about to start the Cognitive Science Master Program at the Ruhr-University .



Course type
Lab courses
Summer Term 2021


Takes place every day from 15:00 to 17:30 in room CIP Insel IA 0/158-79.
First appointment is on 26.09.2021
Last appointment is on 08.10.2021


Lecture slides Lecture 1 - Introduction to Variables and Control Statements
Video Recording Lecture 1
Exercises Task Solutions 1
Lecture slides Lecture 2 - Functions in Math and Programming
Video Recording Lecture 2
Exercises Task Solutions 2
Lecture slides Programming Session 1
Exercises Solutions Session 1
Lecture slides Lecture 3 - Trigonometry
Exercises Template Task 3
Exercises Task Solutions 3
Lecture slides Lecture 4 - Differentiation
Exercises Task Template 4
Exercises Task Solution 4
Lecture slides Lecture 5 - Integration
Exercises Task Template 5
Exercises Task 5 Solutions
Video Recording Lecture 5
Lecture slides Lecture 6 - Differential Equations
Video Lecture 6 Recording
Exercises Task 6 Template
Exercises Task 6 Solutions
Document Exam Topics
Lecture slides Programming Session 2

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