Introduction to Python

Enrollment is necessary for this course - find the information below.
The enrollment period ended - the course if fully booked.

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 and mild machine learning. During the second week, participants will implement a project in Python.



Course type
Lab courses
3 CP
Summer Term 2019


Lab course
Takes place every day from 10:00 to 16:00 in room IA 0/158-79 (PC-Pool 1).
First appointment is on 16.09.2019
Last appointment is on 27.09.2019
Preliminary meeting
Takes place on 09.09.2019 from 13:30 to 14:15 in room NB 3/57.


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

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

These concepts will not be taught separately.


The official language of the course is English.


  • 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. If crucial components of Python are not
covered in your project, we might also test your knowledge on the subject.


  • enroll by sending an eMail to with the info below. 
  • Also, enroll "officially" via FlexNow or your examination office (Prüfungsamt). 

We only have limited number of seats. Bachelor's students of "Angewandte Informatik" will be treated with priority. 

In your mail please include:

  • name
  • student ID number (Matrikelnummer)
  • study program (e.g., "Bachelor Angewandte Informatik PO13") 
  • do you own a laptop to use in the course?

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