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Computer Science and Mathematics Preparatory Course

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 .

Lecturers

Details

Course type
Lab courses
Term
Summer Term 2019

Dates

Lab course
Takes place every day on Monday, Tuesday, Wednesday, Thursday and Friday from 15:30 to 18:00 in room IA 0/69.
First appointment is on 19.09.2019
Last appointment is on 02.10.2019

Documents

Lecture slides Introduction to Variables and Control Statements
Exercises Task Solutions Lecture 1
Lecture slides Functions in Math and Programming
Exercises Task Solutions Lecture 2
Lecture slides Programming Session
Exercises Solutions Programming Session
Lecture slides Coordinate Systems and Trigonometry
Exercises Task 3.1 Template
Exercises Task Solutions Lecture 3
Lecture slides Function Limits and Differentiation
Exercises Task 4.1 Template
Exercises Braitenberg.png
Exercises Task Solutions Lecture 4
Lecture slides Lecture 5 Integration
Exercises Task Templates 5
Exercises Lecture 5 Task Solutions
Lecture slides Differential Equations
Exercises Task 6 Template
Exercises Lecture 6 Task Solutions
Document Exam Topics
Lecture slides Programming Session 2
Exercises Hangman Template
Lecture slides Object Oriented Programming
Exercises Uni Manager Module

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