Module CS5071-KP12

Duration

2 Semester

Turnus of offer

starts every summer semester

Credit points

12

Course of studies, specific fields and terms:

• Master Artificial Intelligence 2023, compulsory, Artificial Intelligence

Classes and lectures:

• Real-Time-Systems (practical course, 2 SWS)
• Real-Time-Systems (lecture, 2 SWS)
• Neural Networks for Computer Vision (lecture, 4 SWS)

Workload:

• 90 hours e-learning
• 30 hours work on project
• 240 hours private studies

Contents of teaching:

• Real-Time Systems: Real-time processing basics (Programmable Logic Controllers, Parallel processes) / Hardware platforms / Process interfaces / Real-time communication systems / Real-time programming / Process monitoring / Process control by using parallel state charts / Control systems design using Laplace transform / Real-time operating systems / Real-time middleware / Fault-tolerant real-time systems
• Neural Networks for Computer Vision: Machine Learning for Image Classification / Fundamentals of Neural Networks / Convolutional Networks / Recurrent Neural Networks / Object Detection / Semantic Segmentation / Optical Flow

Qualification-goals/Competencies:

• For all topics listed in the course content under the bullet points, students will be able to name the central ideas, define the relevant terms in each case, and explain how associated algorithms work using examples of applications.

Grading through:

• portfolio exam

Responsible for this module:

• Prof. Dr. Mattias Heinrich
• Prof. Dr. Sebastian Otte

Teacher:

• Institute for Robotics and Cognitive Systems
• Institute of Computer Engineering
• Institute of Medical Informatics
• Prof. Dr. Mattias Heinrich
• Prof. Dr. Sebastian Otte
• Prof. Dr.-Ing. Mladen Berekovic
• Dr. rer. nat. Javad Ghofrani

Literature:

• Ian Goodfellow, Yoshua Bengio und Aaron Courville : Deep Learning The MIT Press 2016
• M. Sonka, V. Hlavac, R. Boyle : Image Processing, Analysis and Machine Vision 2nd edition. Pacific Grove: PWS Publishing 1998

Language:

• offered only in English

Notes:

Last Updated:

07.01.2025