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ERASMUS+ Blended Intensive Program

AI Odyssey: Understand, Explore, Create!

Artificial intelligence is reshaping the way we live, work, and think. Under the banner of AI Odyssey, we invite students to:

  • Understand the fundamentals of AI and its societal impacts,
  • Explore innovative applications across various disciplines,
  • Create solutions through hands-on learning experiences.

Join us in sharing knowledge, inspiring ideas, and shaping the future of AI. 

Program duration (in presence at Hof University): 19. - 23. May 2025

Virtual part: before the start of the on-site part, exact dates tbc

 

 

 

Program overview

The Blended Intensive Program AI Odyssey is open to students from engineering and computer science. It consists of:

  • general/joint modules for all participants
  • discipline-specific courses tailored to each field
  • shared social and cultural program to foster collaboration and exchange

Students will attend all lectures in the general block as well as all lectures within their chosen field (Engineering or computer science). Units in Business and Health are not available any more.

  • Total teaching hours: 16
  • Credits awarded: 3 ECTS
  • Language of instruction: English

Affordable accommodation (multi-bed / shared rooms) is available in the city center. A joint social program is included in the program, further details will be provided as soon as possible.

 

Apply now via our online application portal! 

 

Applications will be accepted till April 13, 2025.

 

Program details

GENERAL (mandatory for all participants)

Teaching units
(a 45 min)

Introduction to Machine Learing and AI

4

The AI Agenda of China - A Reflective Comparison with the American Approach

4

How to use AI effectively for first year students

4

Total teaching units - GENERAL

12

ENGINEERING

 

Exploring AI potential in production engineering – a gamified learning approach

4

Industry and AI: A new industrial revolution - specific

4

Application of AI in Automation

8

Total teaching units - ENGINEERING

16

COMPUTER SCIENCE / IT

 

Introduction to Machine Learning and A.I. - specific

4

Implementing the architecture behind LLMs with Keras

4

Cybersecurity and AI

4

AI and RPA: Differences, Synergies, and Ethical Challenges

4

Total teaching units - COMPUTER SCIENCE

16

Contact

 Jörg Noldin
Jörg Noldin +49 9281 409 - 3316

ERASMUS+ Coordinator

 Tina Seidel
Tina Seidel +49 9281 409 - 3315

Program Administration