Olga Fink: Courses in Spring Semester 2021

Name Prof. Dr. Olga Fink
FieldIntelligent Maintenance Systems
Address
Inst. Bau-&Infrastrukturmanagement
ETH Zürich, HIL F 23.1
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 66 86
E-mailfink@ibi.baug.ethz.ch
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipAssistant Professor

NumberTitleECTSHoursLecturers
101-0521-10LMachine Learning for Predictive Maintenance Applications Restricted registration - show details
The number of participants in the course is limited to 25 students.

Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words):
-How does this course fit to the other courses you have attended so far?
-How does the course support you in achieving your goal?
The following link can be used to upload the documents.
https://polybox.ethz.ch/index.php/s/3S9ZlyxQTiOS3fM
8 credits4G
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 hrs
Tue10-12HIL C 10.2 »
Thu14-16HIL C 10.2 »
18.06.14-18LEE E 101 »
O. Fink
101-0522-10LDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Restricted registration - show details
Number of participants limited to 21.
1 credit2S
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.
Remark: No course on 07.04.2021 (ETH Easter break).
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed/114-16ON LI NE »
B. Soja, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. A. Kraus, M. Lukovic, K. Schindler, M. J. Van Strien
101-0523-11LFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering (FS21) Restricted registration - show details
Number of participants limited to 21.
1 credit2S
101-0523-10 SFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Special students and auditors need a special permission from the lecturers.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed/214-16ON LI NE »
M. Lukovic, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. A. Kraus, K. Schindler, B. Soja, M. J. Van Strien