## 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 .

## Lecturers

## Stephan Sehring, M.Sc.Lecturer |
(+49) 234-32-15884 stephan.sehring@ini.rub.de NB 02/75 |

## Details

- Course type
- Lab courses
- Term
- Winter Term 2024/2025

## Teaching Units

##### Unit 1: Introduction to Programming in Python

Lecture slides | Slides |

Document | jupyter notebook |

Link | python documentation |

Link | bonus exercises |

Document | solutions |

##### Unit 2: Functions in math

Lecture slides | slides |

Document | jupyter notebook |

Document | python solution |

##### Unit 3: Linear Algebra

Lecture slides | slides |

Document | solution 1 |

Document | solution 2 |

Document | solution 3 |

##### Unit 5: Integration

Lecture slides | slides |

Document | exercise_template.py |

Document | solution1 |

Document | solution2 |

##### Unit 6: Differential Equations

Lecture slides | slides |

## Documents

Document | practice exam |

Document | exam |

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