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Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
Last Updated: 2026-02-05 15:55:11
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
- Semesterly recurring
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
Remark: No course on 07.04.2021 (ETH Easter break).
The lecturers will communicate the exact lesson times of ONLINE courses.
|
|
2 h weekly |
Offered In
-
Doctoral Department of Civil, Environmental and Geomatic Engineering (More Information at: )
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