E2542 P211-0291 ei 4 PA 8 5 no German Term paper (25%), seminar presentation (75%) E2542 Electrical Engineering and Information Technology 5 optional course 60 class hours (= 45 clock hours) over a 15-week period.The total student study time is 240 hours (equivalent to 8 ECTS credits).There are therefore 195 hours available for class preparation and follow-up work and exam preparation. Prof. Dr.-Ing. Ahmad Osman aos Prof. Dr.-Ing. Ahmad Osman aos After successfully completing this course, students will have learned and be able to apply the practical and scientific methods of project work to the creation of a term paper based on examples, typical problems and applications from the field of signal and image processing with AI, for example research on the state of the art in image processing, classification methods, regression methods, data compression, data reconstruction, human-machine interaction, literature research (also English technical literature), presentation of project results. Students will be expected to document and explain their approach. They must justify and present their results on the basis of engineering research and and knowledge. Their subsequent presentation must succinctly explain/summarize these aspects and illustrate the use of methods for their project work. Image processing: filtering techniques Image segmentation: region-based or contour-based techniques Classification methods: neural networks, support vector machine etc. Data fusion: the Dempster-Shafer Theory Data reconstruction Data visualization Data compression Human-machine interaction Research to deepen technical or scientific aspects in the form of a supervised term paper. Literature research (also in English) Scientific presentations Term paper with academic supervision in a defined area of specialization or topic using the methods of scientific project work. Participants must be familiar with the state-of-the-art of research/technology in selected areas of AI and be able to critically examine research projects. Luger, George F.: Artificial Intelligence, Addison-Wesley, 2009, ISBN 978-0-13-209001-8 Mitchell, Tom M.: Machine learning, McGraw-Hill, 1997, ISBN 978-0-07-042807-2 Russell, Stuart J.; Norvig, Peter: Artificial intelligence: a modern approach, Pearson, 2009, 3rd Ed., ISBN 978-0-13-207148-2 Sat Aug 15 12:00:29 CEST 2026, CKEY=e3E2542, BKEY=ei, CID=[?], LANGUAGE=en, DATE=15.08.2026