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Modul CS5071-KP12

Next Generation AI Computing and Learning (AIComLea)

Duration:


2 Semester
Turnus of offer:


starts every summer semester
Credit points:


12
Course of studies, specific field and terms:
  • Master Artificial Intelligence 2023 (compulsory), Artificial Intelligence, 1st semester at the earliest
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:
  • 240 Hours private studies
  • 30 Hours work on project
  • 90 Hours e-learning
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:
Teachers:
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:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of online quizzes as specified at the beginning of the semester

Module exam(s):
CS5071-L1: Next Generation AI Computing and Learning portfolio exam for a total of 100 points, divided as follows:
- 50 points for online quizzes
- 50 points for an oral examination

Letzte Änderung:
18.9.2024