Icon Course

2022-08-22 Introduction to Programming (Python) (09:00-17:00)

Get introduced into algorithmic thinking and programming with Python.



Algorithms and programming are important tools in data driven research. Python is a good scripting language widely used to make pipelines of tasks typical for large computations and analysis on large datasets. It suits the purpose of starting programming in it, as well. https://de.wikipedia.org/wiki/Python_(Programmiersprache).

People new to programming may attend DSF 1-3. Due to the large content amount, it is for those not recommeded to attend DSF 4-5 in the same block.

Learning outcomes - participants can/know
  • Introduction to Jupyter Notebooks
  • History of Algothims and Computing
  • About scripting and Python
  • Syntax and variables
  • Scalar data types and data structures
  • Program loops and conditionals
  • Program functions and data structures
  • Manipulate strings (and regular expressions)
  • File input and output
  • NumPy package
Target group
  • UNIBE staff members, students and potential users interested in programming.
  • Participants must bring own laptops.
  • No programming experience required. This is a crash course for beginners.
  • The training alternates between short theoretical introductions and programming exercises.
  • A certificate will be delivered to participants who have attended the whole training.
  • Participants attending DSF 1-3 are offered to make a project (30 hours). Upon a successful presentation 2 ECTS credit points are given.
  • The coaches are local or external experts
Time : 2022-08-22 09:00 - 17:00
Location : University of Bern, Mittelstrasse 43, room 124 and Remote (check Zoom link in the course materials once logged in)

Training language: English
Participants : Max 24
Registration : Mandatory
Coaches : Dr. Kinga Sipos (coach), PD Dr. Sigve Haug (responsible)
Prerequisites : Laptop
Certificate : Certificate for full training attendance 
The Science IT Support is there to boost your research by supporting you solving computing challenges. 
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - scits.math.unibe.ch.