These are our currently offered lectures, seminars and project groups
Introduction to Machine Learning [Lecture & Lab]
Module ID 4INFBA013 Unisono ID 43ISG1188V (lecture) + 43ISG1288V (lab) Terms Winter & Summer SWS 2+2 Primary Focus Computer Science, Bachelor (Final Year) Secondary FocusBachelor's students (at least 3rd semester) and Master's students with technical / engineering / math backgrounds. Especially Computer Science, Mechatronik, IPEM, and HCI. Credits (LP)6 For more details see https://unisono.uni-siegen.de/
Recommender Systems [Lecture & Lab]
For more details see https://unisono.uni-siegen.de/
Introduction to Complex & Intelligent Software Systems [Lecture & Lab]
Automated Machine Learning (AutoML) [Project Group]
You will join the working group of Prof. Beel and his Ph.D. students. You will either work on your own dedicated automated machine-learning project (together with other students), or on an existing project in our group (with our Ph.D. students). You will join brainstorming sessions, create concepts and research plans, execute and analyse your research...
Machine-Learning Competition [Seminar]
During this seminar, students will participate in a Kaggle machine learning competition (or a similar format); read and analyze literature relating to machine learning; and present their results and findings. Possibly, this module contains an element of peer-review where students review each other's work. Hence, students should be aware (and agree) that their source code...
Recent Advances in Machine Learning [Guest Lecture & Lab]
We co-teach in Prof. Möller's course "Recent Advances in Machine Learning". We offer a lecture and project on Siamese Neural Networks.
Cutting Edge Research [Guest Lecture & Project]
Scientific Writing (Block Lecture)
We co-teach the Scientific Writing lecture, together with Prof. Andreas Kolb and Prof. Malte Lochau in March during a 3-day block lecture.