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Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
Last Updated: 2026-06-03 00:14:15
Abstract
Current research in machine learning and data science within the research fields of the department. The goal is to learn about current research projects at our department, to strengthen our expertise and collaboration with respect to data-driven models and methods, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
Objective
- learn about discipline-specific methods and applications of data science in neighbouring fields - network people and methodological expertise across disciplines - establish links and discuss connections, common challenges and disciplinespecific differences - practice presentation and discussion of technical content to a broader, less specialised scientific audience
Content
Current research at D-BAUG will be presented and discussed.
General Information
- Language
- English
- Levels
- DR
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Registration & Places
- Max Places
- 21
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
Does not take place this semester.
Remark: Nest time offered in FS27.
|
No time listed | 1 h weekly |
Offered In
-
Doctorate Civil, Environmental and Geomatic Engineering (More Information at: )
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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.)
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