course: Master Seminar Biomedical Engineering
- teaching methods:
- responsible person:
- Prof. Dr.-Ing. Georg Schmitz
- Prof. Dr.-Ing. Georg Schmitz (ETIT)
- offered in:
- summer term
dates in summer term
- kick-off meeting: Monday the 20.04.2020 from 14:15
- seminar Mondays: from 14:15 to 17.00 o'clock
All statements pertaining to examination modalities (for the summer/winter term of 2020) are given with reservations. Changes due to new requirements from the university will be announced as soon as possible.
|Form of exam:||seminar|
|Registration for exam:||Directly with the lecturer|
After successful completion of the module, students have the ability to independently explore a selected topic area. This includes literature search taking into account international specialist literature and relevant databases, as well as the analysis, selection and evaluation of sources. They are able to structure and summarize scientific content, prepare a written paper and a presentation. You have a good command of common presentation techniques (technical and rhetorical) and are able to explain a scientific topic in terms of content and to answer questions. They can analyse other presentations, reflect on presentation techniques and formulate constructive criticism.
This year's seminar will focus on the topic of "Deep Learning" based on the book by Ian Goodfellow, Yoshua Bengio and Aaron Courville. On the one hand, the seminar will deal with basic concepts of deep learning, and on the other hand with the architecture of typical networks and their applications.
The seminar does not require any special prior knowledge of medical engineering. Thus, it is also suitable for interested students of other study areas. The topics offered are prepared by the students, worked out in writing and presented in lectures. The lectures will be discussed with regard to content and presentation.
Knowledge of system theory and signal processing, corresponding to those taught as basics in the lectures of the bachelor's program in Electrical Engineering and Information Technology. Basic knowledge of neural networks would be helpful.
Registration is via the e-learning portal Moodle of Ruhr University Bochum. You will receive the necessary information in the preliminary discussion.
The seminar is limited to 8 participants. Students majoring in medical engineering have priority over students with other specializations or other subjects.