Master Program: Tutor & Courses
Master Profile «Human Behavior»
This profile focuses on the measurement of human behavior using vision-based technologies (such as eye tracking, hand tracking and object pose estimation) and the computation of meaningful metrics quantifying human behavior in form of objective key performance indicators. Master’s studies include courses covering the basics of machine learning and computer vision as well as specific fields of application such as surgical training, rehabilitation or collaborative robotics. Semester project and Master thesis are usually embedded in research projects with industrial and/or clinical partners.
- 3D Vision (FS, 5 ECTS, Prof. Pollefeys)
- Digital Humans (FS, 8 ECTS, Prof. Tang)
- Robot Dynamics (HS, 4 ECTS, Prof. Hutter)
- Physical Human Robot Interaction (HS, 4ECTS, Prof. Lambercy)
- Biomedical Imaging (HS, 4 ECTS, Prof. Kozerke)
- Rehabilitation Engineering I (FS, 4 ECTS, Prof. Riener)
- Medical Technology Innovation (HS, 4 ECTS, Prof. Herrmann)
- Stochastic Methods for Engineers and Natural Scientists (HS, 4 ECTS, Dr. Meyer-Massetti)
Master Profile «Design for New Technologies»
This profile focuses on technology-driven product innovation, based on the intersection of new design tools and new manufacturing technologies. The Master's program includes a wide range of courses focusing on design, manufacturing, machine learning, simulation, optimization and Design of Experiment. Semester project and Master thesis are usually embedded in research projects with industrial partners.
- Computational Design I & II (HS & FS, 2 ECTS, Prof. Dillenburger)
- Design for Additive Manufacturing (HS, 4 ECTS, Prof. Meboldt)
- Metal Additive Manufacturing – Fundamentals and Process Technology (FS, 4 ECTS, Prof. Bambach)
- Metal Additive Manufacturing - Mechanical Integrity and Process Simulation (HS, 4 ECTS, Dr. Hosseini)
- Manufacturing (HS, 4 ECTS, Prof. Bambach)
- Experimental Methods for Engineers (FS, 4 ECTS, Prof. Coletti)
- Introduction to Machine Learning (FS, 8 ECTS, Prof. Krause)
- Computational Design III & IV (HS & FS, 2 ECTS, Prof. Gramazio)
- Programming with Python (FS, 3 ECTS, Dr. Fässler)
- Multiphysics Modelling and Simulation (HS, 4 ECTS, Dr. Roman)
- Case Studies in Computer Aided Engineering - Applied FEM (FS, 4 ECTS, Dr. Valtorta)
- Optimization and Machine Learning (FS, 4 ECTS, Prof. Mohr)
- Engineering Design Optimization (HS, 4 ECTS, Prof. Shea)
- Advanced CFD Methods (FS, 4 KP, Prof. Jenny)
- Applied Finite Element Analysis (HS, 4 KP, Prof. Mohr)
- Structural Optimization (FS, 4 KP, Dr. Stankovic)
- Experimental Mechanics (FS, 4 KP, Dr. Carrara)