GMU:Eliza* in the Clouds

Lecturer: Alexander König
Credits: 6 ECTS, 4 SWS
Dates: 22.04 ; 29.04 ; 06.05 ; 13.05 ; 20.05 ; 03.06. ; 10.06 ; 17.06 ; 24.06 ; 01.07 ; 08.07
Venue: Digital Bauhaus Lab

Description

Eliza* in the Clouds - Digital Sovereignty and Machine Learning, an introduction to "Artificial Intelligence".

The aim of the course is to gain a critical understanding of machine learning and its application. The course focuses on the analysis of behavioural data and the prediction of trends and opinions, which form the core application of "AI". Another central topic is cloud infrastructures and the so-called "edge computing" or "Internet of Things", which together with machine learning form an almost all-encompassing set of tools for data collection that is beyond any (state) control. The course is therefore also suitable for those who are interested in a critical examination of "AI", but without wanting to delve further than necessary into the technology. The course gives an introduction to machine learning and its programming in Python using the Tensorflow libraries in a dedicated cloud infrastructure. Programming knowledge in Python is desirable but not mandatory.

Recommended Requirements

The students learn the software on the basis of their own projects, so the course is suitable for both beginners and advanced students.

Criteria for passing

In order to successfully participate, you will have to develop and document your own project. Also, complete the exercises and comply with the submission deadlines

Syllabus

===22. 04. 2022 | 11:00 to 14:30 |
===29. 04. 2022 | 11:00 to 14:30 |
===06. 05. 2022 | 11:00 to 14:30 |
===13. 05. 2022 | 11:00 to 14:30 |
===20. 05. 2022 | 11:00 to 14:30 |
===03. 06. 2022 | 11:00 to 14:30 |
===10. 06. 2022 | 11:00 to 14:30 |
===17. 06. 2022 | 11:00 to 14:30 |
===24. 06. 2022 | 11:00 to 14:30 |
===01. 07. 2022 | 11:00 to 14:30 |
===08. 07. 2022 | 11:00 to 14:30 |