|Study location||Germany, Berlin|
|Nominal duration||4 weeks (6 ECTS)|
|Tuition fee||€920 per programme
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: €920
This course/tuition fee covers the online course, course materials and a digital cultural program.
|Registration fee||€60 one-time
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
The course is directed at intermediate beginners in Software Engineering and Computer Science.
Previous knowledge in Python is required, but you don’t need to be an expert. However, knowing the common programming concepts and being able to use them to solve low to mid-complexity programming tasks on your own is vital. AI contains a lot of mathematics, but the course is designed to be understandable with the knowledge conveyed in a High School education.– Fluent in Python 3 programming and tools
The entry qualification documents are accepted in the following languages: English / German.
Please upload one of the following documents:
Upload copies in a word or pdf format
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 have 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.
Artificial Intelligence has made its way into our everyday language and news cycles. Yet, it is still hard to define what exactly an AI is. In this course you will learn why. We will focus on several techniques associated with AI and give you an understanding of how they work and which kinds of problems they can solve. You will learn Planning, Optimization, Reasoning and Machine Learning. We will visit each of these fields based on practical tasks using the programming language Python.
Reading week: January 3rd – 7th, 2022. Flexible, 20 hours preparatory work to be done on-demand.
Online course: January 10th – 28th, 2022. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at email@example.com
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.