Search result: Courses in Autumn Semester 2023

Doctorate Civil, Environmental and Geomatic Engineering Information
More Information at: https://www.ethz.ch/en/doctorate.html
Subject Specialisation
In addition to the courses listed below, D-BAUG doctoral students are free to choose from the entire range of subject-specific courses offered by ETHZ and the University of Zurich, provided that it is an offering specifically designed for doctoral students or a course of the regular Master’s program or of the third year Bachelor’s program.
NumberTitleTypeECTSHoursLecturers
101-0191-00LSeismic and Vibration IsolationW2 credits1G
101-0191-00 GSeismic and Vibration Isolation1 hrs
Wed/109:45-11:30HCP E 47.2 »
M. Vassiliou
101-0522-10LDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Restricted registration - show details W1 credit1S
101-0522-10 SDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Special students and auditors need a special permission from the lecturers.1 hrs
Wed/2w13:45-15:30HIL F 10.3 »
V. Ntertimanis, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, K. Schindler, B. Soja, M. J. Van Strien
101-0139-00LScientific Machine and Deep Learning for Design and Construction in Civil Engineering Restricted registration - show details W3 credits4G
101-0139-00 GScientific Machine and Deep Learning for Design and Construction in Civil Engineering
14-16 theory
16-18 group work
4 hrs
Mon13:45-17:30HCI E 8 »
M. A. Kraus, D. Griego
701-0015-00LTransdisciplinary Research: Challenges of Interdisciplinarity and Stakeholder Engagement
The lecture takes place if a minimum of 12 students register for it.
W2 credits1S
701-0015-00 STransdisciplinary Research: Challenges of Interdisciplinarity and Stakeholder Engagement
Irregular course
20s hrs
Wed/2w08:15-12:00CHN K 77 »
B. Vienni Baptista, C. E. Pohl, M. Stauffacher
101-0523-14LFrontiers in Machine Learning Applied to Civil, Env. and Geospatial EngineeringW1 credit1G
101-0523-14 GFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering
Remark: Each autumn semester (HS) a new course with a new course number.
1 hrs
Wed/2w13:45-15:30HIL E 10.1 »
V. Ntertimanis, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, K. Schindler, B. Soja, M. J. Van Strien
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