|Art||On Campus, Vollzeit|
|Nominale Dauer||2 weeks|
|Studiengebühren||890 € pro Programm
The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60).
Student course/tuition fee: €890
This course/tuition fee covers the course, course materials and a cultural program.
|Anmeldegebühr||60 € einmalig
The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable.
At least one year of university experience or equivalent work experience
Die Zulassungsunterlagen werden in folgenden Sprachen akzeptiert: Englisch / Deutsch.
Please upload one of the following documents:
All applicants are required to upload a document or certificate to demonstrate their proficiency in English language. If you are a non-native English speaker, you must prove you have a score equivalent to the level B2 or above in the European system (the Common European Framework of Reference for Languages, or CEFR), or provide evidence that you’ve undertaken an equivalent degree/studies in English.
More details: www.tu-berlin.de/menue/summer_university/requirements/
If you are a native English speaker, please select this during registration. You will then be exempt from having to upload proof of English level.
Participants should have basic mathematical and scientific understanding (linear algebra, basic physics). Some programming experience (no matter what language) is of advantage, but not a necessity.
Besondere Anforderungen für Nicht-EU Bewerber:
Please upload your insurance waiver in English (all pages)
In this course, participants will learn the basic elements of the Python programming language as well as the application of useful libraries for scientific tasks. It is aimed at (future) engineers and scientists that want to use Python for the processing and visualization of data as well as physical modelling.
Participants will be able to write Python programs and modules. More specific, you will
- have knowledge about basic programming elements
- know how to efficiently load, process, and visualize data using Python
- have the ability to employ tools from important Python libraries for scientific/engineering applications