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Data Science with Python

Summer University Term 3: July 20th - August 14th, 2020

Course price: 1,950 Euros

18 hours of class a week, 5 ECTS credit points, max. 20 participants

Registration deadline: June 20th, 2020



In this course you will learn the basic knowledge of machine learning and some applications for machine learning with the use of the programming language Python. You will be working at the computer. Through many different tasks you get to know several topics in this area and you will acquire some fundamental skills in Python.

Learning Goals and Syllabus


Upon the completion of the course you will be able to understand and write scripts in Python and use specific software libraries for your case of machine learning task.


The syllabus for Summer University 2020 will be available soon! Please click here to see the syllabus of 2019.

Course components

The course will include the following topics:

  • Python syntax
  • Logistic regression
  • Neural nets
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Document classification
  • Image classification
  • Game ai development


The general prerequisites of the TU Berlin Summer University are the following: at least one year of university experience + English level B2 or equivalent.

In computer science it is recommended to know:

  • What a variable, assignment and statement means
  • What a software library and an interface means
  • How a loop and a conditional statement generally works

Some basic knowledge of console commands, especially those related to file management is a plus.


The course will be taught by experienced lectures from the TU Berlin.

Please direct questions about the course to the TU Berlin Summer University Team at: . We will answer your questions and direct specific queries regarding course content to the course lecturers where necessary.

Brochure & Poster Download

Check out our Brochure and Poster for Summer 2020!

Summer University Term 3: July 20th - August 14th, 2020

Course price: 1,950 Euros

18 hours of class a week, 5 ECTS credit points

Zusatzinformationen / Extras

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Beth Sibly, Director
+49 30 4472 0230