Teaching Activities at University of Potsdam:

Chair of Professor Milos Krstic, Design and Test Methodology:

• Chip Design (6 ECTS)
• Processor Design for AI Applications: From System to Transistor (6 ECTS, BSc and MSc)
• Hardware Architectures for AI Applications (6 ECTS, BSc and MSc)
• Hardware Defects, Faults, Errors, and Failures: Yield, Reliability, and Dependability (6 ECTS, BSc and MSc)
• Seminar on Neuromorphic Chip Design (3 ECTS, BSc and MSc)

Chair of Professor Benno Stabernack, Embedded Systems Architectures for Signal Processing:

• System on Chip Architectures (6 ECTS, BSc and MSc)
• Computer Vision Hardware Architecture (3 ECTS, BSc and MSc)

Chair of Professor Ulrike Lucke, Complex Multimedia Application Architectures:

• Seminar: Ethics for Nerds (3 ECTS, BSc and MSc)

Teaching Activities at Technical University of Munich:

Chair of Professor Martin Schulz/Professor Carsten Trinitis, Computer Architecture and Parallel Systems:

• Practical Course: Accelerating Convolutional Neural Networks using Programmable Logic (10 ECTS, BSc and MSc) (Prof. Schulz)
• Seminar Course: Development and Integration of Hardware Accelerators (5 ECTS, BSc and MSc) (Prof. Schulz)
• Seminar: Ethics for Nerds (6 ECTS, BSc and MSc) (Prof. Trinitis)
• Practical Course: Introduction to Hardware Design Languages and Tools (6 ECTS, BSc) (Prof. Trinitis)

Chair of Professor Martin Werner, Big Geospatial Data Management:

• Selected Topics in Big Geospatial Data (5 ECTS, BSc and MSc)
• Lab Course Mobile Computer Vision (5 ECTS, BSc)
• Lab Course Photogrammetric Data Acquisition (5 ECTS, BSc)
• Engineering Projects (6 ECTS, BSc)

Joint Curriculum "Edge AI":

Course Title	ECTS	Course Hours	Performance Evaluation
Chip Design	6	4 hours/week	Project and oral exam
Processor Design for AI Applications: From System to Transistor	6	4 hours/week	Oral exam
Hardware Architectures for AI Applications	6	4 hours/week	Oral exam
Seminar on Neuromorphic Chip Design	3	2 hours/week	Presentation and report
System on Chip Architectures	6	4 hours/week	Project and presentation
Computer Vision Hardware Architecture	3	2 hours/week	Presentation and report
Practical Course: Accelerating Convolutional Neural Networks using Programmable Logic	10		Project, presentation and report
Seminar Course: Development and Integration of Hardware Accelerators	5		Presentation and report

Highlights: