Practical Training on Interdisciplinary Innovations in Medical Engineering
Lecturers: Sultan Haider; Dipl.-Ing. Tobias Zobel
The goal of this training is to give students of medical engineering topics hands on experience on developing applications of pattern recognition techniques applied to interdisciplinary areas from preventive healthcare to therapeutic procedures. Each student will be given group project(s). The student along with the other group members needs to: 1. Investigate the state of art which includes publication search, available algorithms and tools, the students also need to investigate where automation and pattern recognition could be applied within the assigned project(s) (Module 1). 2. Propose solutions: Develop concepts, algorithm and implementing the pattern recognition techniques on the identified areas in group (Module 2). 3. Document the outcomes as a research paper (Module 3).
- internship, 20 SWS
- language: english
- time and place: thursday 16:00 – 19:00, Seminarraum ZMPT preliminary meeting: 16th october 2015, 14:00 – 16:00 Uhr, Hörsaal ZMPT
- Registered student of Bachelor-/Masterdegree course
Registration via StudOn or MeinCampus