Olga Fink: Lehrveranstaltungen im Frühjahrssemester 2021

NameFrau Dr. Olga Fink
LehrgebietIntelligente Instandhaltungssysteme
Adresse
EPFL ENAC IIC IMOS
Station 18
GC G1 494 (Bâtiment GC)
1015 Lausanne
SWITZERLAND
Telefon0041216936629
E-Mailofink@ethz.ch
DepartementBau, Umwelt und Geomatik
BeziehungDozentin

NummerTitelECTSUmfangDozierende
101-0521-10LMachine Learning for Predictive Maintenance Applications Belegung eingeschränkt - Details anzeigen
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.
Link
8 KP4G
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 Std.
Di09:45-11:30HIL C 10.2 »
Do13:45-15:30HIL C 10.2 »
18.06.14:15-18:00LEE E 101 »
O. Fink
101-0522-10LDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Belegung eingeschränkt - Details anzeigen
Number of participants limited to 21.
1 KP2S
101-0522-10 SDoctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.
Remark: No course on 07.04.2021 (ETH Easter break).
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mi/114:00-16:00ON 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) Belegung eingeschränkt - Details anzeigen
Number of participants limited to 21.
1 KP2S
101-0523-10 SFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mi/214:00-16:00ON LI NE »
M. Lukovic, E. Chatzi, F. Corman, O. Fink, I. Hajnsek, M. A. Kraus, K. Schindler, B. Soja, M. J. Van Strien