Introduction to Python

Python is a programming language that is wide-spread among scientists due to its readability and powerful standard libraries. This practical course teaches Python to students with prior experience in other programming languages. In addition to introducing the language itself, we will focus on scientific computing including vectors and matrices as well as data processing. During the second week, participants will implement a project in Python.



Course type
Lab courses
3 CP
Summer Term 2018


Preliminary meeting
Takes place on 27.08.2018 from 13:30 to 17:00 in room NB 3/57.
Lab course
Takes place every day from 09:00 to 17:00 in room NA 02/247.
First appointment is on 03.09.2018
Last appointment is on 14.09.2018


We expect fluency in one other programming language and familiarity with concepts like

  • control structures
  • data types
  • functions
  • object-oriented programming


  • Python basics: syntax, interpreter, control structures, data types, OOP
  • Scientific computing: NumPy, Matplotlib, scikit-learn
  • Project: realization of a project in Python


Grading is based on the project in the second week.


Please enroll by sending an email to This is for us to keep track of the number of participants. Also remember to enroll "officially" via FlexNow or your examination office (Prüfungsamt). Bachelor's students of  "Angewandte Informatik" (PO13) will be given priority, since participation in one of the programming courses is mandatory for them. Other students may send us an email as well to get on the waiting list until the end of PO13 registration phase.

Confirmations of enrollment will be sent out after the end of the "Angewandte Informatik" registration phase.

In your mail please include:

  • name
  • student ID number (Matrikelnummer)
  • study program (Studiengang)
  • current semester
  • Bachelor/Master
  • PO13/PO09/etc.

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