Navrag Singh: Catalogue data in Autumn Semester 2018 |
Name | Dr. Navrag Singh |
Address | Institut für Biomechanik ETH Zürich, GLC H 16.1 Gloriastrasse 37/ 39 8092 Zürich SWITZERLAND |
Telephone | +41 44 632 45 69 |
navragsingh@ethz.ch | |
Department | Health Sciences and Technology |
Relationship | Lecturer |
Number | Title | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|
376-0203-AAL | Movement and Sport Biomechanics Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course! | 4 credits | 3R | W. R. Taylor, N. Singh | |
Abstract | Learning to view the human body as a (bio-) mechanical system. Making the connections between everyday movements and sports activity with injury, discomfort, prevention and rehabilitation. | ||||
Learning objective | "Students are able to describe the human body as a mechanical system. They analyse and describe human movement according to the laws of mechanics." | ||||
Content | Movement- and sports biomechanics deals with the attributes of the human body and their link to mechanics. The course includes topics such as functional anatomy, biomechanics of daily activities (gait, running, etc.) and looks at movement in sport from a mechanical point of view. Furthermore, simple reflections on the loading analysis of joints in various situations are discussed. Additionally, questions covering the statics and dynamics of rigid bodies, and inverse dynamics, relevant to biomechanics are investigated. | ||||
376-1651-00L | Clinical and Movement Biomechanics | 4 credits | 3G | N. Singh, R. List, P. Schütz | |
Abstract | Measurement and modeling of the human movement during daily activities and in a clinical environment. | ||||
Learning objective | The students are able to analyse the human movement from a technical point of view, to process the data and perform modeling with a focus towards clinical application. | ||||
Content | This course includes study design, measurement techniques, clinical testing, accessing movement data and anysis as well as modeling with regards to human movement. |