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101-0522-10L 1 Credits DR D-BAUG

Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering

Does not take place this semester.
VVZ CR n/a

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
Ungraded semester performance. Presence is mandatory to pass theseminar. Every participant has to present his/her reseach.

Registration & Places

Max Places
21
Priority: Registration for the course unit is only possible for the primary target group

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

    • 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.)