From 2 November 2020, the autumn semester 2020 will take place online. Exceptions: Courses that can only be carried out with on-site presence.
Please note the information provided by the lecturers via e-mail.

Search result: Course units in Spring Semester 2017

Doctoral Department of Mechanical and Process Engineering Information
Doctoral and Post-Doctoral Courses
NumberTitleTypeECTSHoursLecturers
151-0111-00LResearch Seminar in Fluid Dynamics
Internal research seminar for graduate students and scientific staffs of the IFD
Z0 credits2SP. Jenny, T. Rösgen
» Course Catalogue of ETH Zurich
151-0906-00LFrontiers in Energy Research Restricted registration - show details
This course is only for doctoral students.
W2 credits2SM. Mazzotti, R. S. Abhari, J. Carmeliet, M. Filippini
151-1049-00LSeminar in Fundamentals of Process Engineering Information Restricted registration - show details
Only for Master's students and doctoral students of Process and Chemical Engineering.
W1 credit1SP. Rudolf von Rohr
151-1053-00LThermo- and Fluid Dynamics Information Z0 credits2KP. Jenny, R. S. Abhari, C. Müller, H. G. Park, H.‑M. Prasser, T. Rösgen, A. Steinfeld
151-0361-00LAn Introduction to the Finite-Element Method Information W4 credits3GG. Kress, C. Thurnherr
151-0540-00LExperimental Mechanics Information W4 credits2V + 1UJ. Dual
151-0566-00LRecursive Estimation Information W4 credits2V + 1UR. D'Andrea
151-0766-00LLeading and Coaching Focus Project Teams (Advanced Course)
This course is the second part of a two-semester course.

The course "Leading and Coaching Focus Project Teams (Basic Course)" for Autumn Semester is examined together with the course "Leading and Coaching Focus Project Teams (Advanced Course)" for Spring Semester with 4 ECTS.
W4 credits1GR. P. Haas, I. Goller
151-0840-00LPrinciples of FEM-Based Optimization and Robustness Analysis Information W5 credits2V + 2UB. Berisha, P. Hora, N. Manopulo
101-0178-01LUncertainty Quantification in Engineering Information W3 credits2GB. Sudret
101-0190-08LUncertainty Quantification and Data Analysis in Applied Sciences Information
The course should be open to doctoral students from within ETH and UZH who work in the field of Computational Science. External graduate students and other auditors will be allowed by permission of the instructors.
W3 credits60GE. Chatzi, P. Chatzidoukas, P. Koumoutsakos, S. Marelli, K. Papadimitriou, B. Sudret
227-0224-00LStochastic Systems Information W4 credits2V + 1UF. Herzog
327-2224-00LMaP Distinguished Lecture Series on Additive Manufacturing
This course is primarily designed for MSc and doctoral students. Guests are welcome.
W1 credit2SA. R. Studart, M. Meboldt
363-0764-00LProject ManagementW2 credits2VC. G. C. Marxt
363-1039-00LIntroduction to Negotiation Information W3 credits2GM. Ambühl
376-1719-00LStatistics for Experimental Research Information W2 credits2VR.  van de Langenberg, E. de Bruin
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