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Fachkurs: 21HFU - 08 - HW1 Python Basics (english)


  • Understanding of basic programming concepts (e.g. variables, functions, loops, logical and arithmetic operators) in any programming language
  • Theoretical understanding of data structures (e.g. arrays, lists, hash tables, trees) recommended, but not mandatory
  • Own laptop with admin rights and system knowledge (incl. basic use of the command prompt) required

Teilnehmerinnen: 15

Credit Point (ECTS): 0

Leistung für CP: -


"Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming." (https://docs.python.org/3/tutorial/)

This course offers an introduction into programming with Python. Participants will learn the basic Python syntax, how to use the Python interpreter, implement various data structures, handle in- and output as well as exceptions in Python. Moreover the course will cover the installation and use of selected third-party packages and management of different Python environments.

The course aims at a practical introduction to Python. Theoretical sessions and lectures will be followed up by practical exercise sessions.


  • Halbwochenkurs (Di - Do)






Georgia Olympia Brikis M.Sc.

Georgia Olympia Brikis studied computer science, mathematics and philosophy in Munich and Warsaw. Today she is working as a Research Engineer and Technical Project Lead at Siemens Corporate Technology in Munich. Her work is focused one industrial applications of artificial intelligence (AI) and data management.
Besides her work Olympia is involved in open source and research projects in the field of data analytics and computer vision and leads the technology field “Industrial AI and Data Science” at the automotive research factory Arena2036 in Stuttgart. Since 2015 Olympia has been a visiting lecturer for courses on version control and AI at the University of Bremen and University of Salzburg



Preis für Berufstätige

€ 240,00

Preis für Teilzeitkräfte bis 50%

€ 120,00

Ermäßigter Preis

€ 40,00

Genaue Kurszeiten:

So 21.02.21
09.00 - 10.30
11.00 - 12.30
14.00 - 15.30
16.00 - 17.30

Di 23.02.21
09.15 - 11.30
14.00 - 15.30
16.00 - 17.30

Do 25.02.21
09.00 - 10.30

Mögliche Zahlungsarten

  • per Rechnung


  • Arbeitssuchende
  • Berufstätige
  • Studentinnen


Netzwerk F.I.T (mf)




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