Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Roland Müller: Catalogue data in Autumn Semester 2016

Name Dr. Roland Müller
Address
Dep. Gesundheitswiss. und Technol.
ETH Zürich, HCP H 25.3
Leopold-Ruzicka-Weg 4
8093 Zürich
SWITZERLAND
Award: The Golden Owl
Telephone+41 44 632 58 76
E-mailroland.mueller@hest.ethz.ch
DepartmentHealth Sciences and Technology
RelationshipLecturer

NumberTitleECTSHoursLecturers
376-0003-00LIntroduction to Health Sciences and Technology I Restricted registration - show details 4 credits2V + 2UR. Müller
AbstractOverview on various aspects of health and disease (health models, classification of diseases, prevention and rehabilitation, therapy, epidemiology); introduction to technical aspects (diagnostics, measurement technique); fundamentals of scientific working (ethics, literature search, study design, data collection, data analysis and data presentation).
ObjectiveStudents should know the terms, models and classification systems used in health and disease; in addition, they should understand the methods of scientific working.
Content- Health: biomedical model and classification of diseases, salutogenesis and ICF, prevention and rehabilitation, therapy, epidemiology.
- Technology: diagnostics, measurement technology, automatic control engineering.
- Science: ethics, literature search, study design, tests, data analysis, data presentation
376-0003-01LDemonstration Week Health Sciences and Technology Restricted registration - show details
Only for Health Sciences and Technology BSc.
1 credit2PR. Müller, W. Langhans, S.  Lorenzetti, R. Riener, M. Ristow, M. E. Schwab, N. Wenderoth, further lecturers
AbstractDelivery of practical insight into research methods relevant to the field by means of demonstrations and small projects in the areas of Human Movement Science and Sport, Medical Technology, Molecular Health Sciences, and Neurosciences.
ObjectiveStudents can experience research methods that may arise in the field of Health Sciences and Technology.
Content- Human Movement Science and Sport: movement analysis, biomechanical measurement techniques
- Medical Technology: prostheses
- Molecular Health Sciences: metabolism, behaviour
- Neurosciences: neurological measurement techniques, neurorehabilitation
- Clinical Research