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101-0522-10L 1 Credits DR D-BAUG
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Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering

Lecturers & Examiners: Prof. Dr. Irena Hajnsek, Prof. Dr. Konrad Schindler, Prof. Dr. Eleni Chatzi, Dr. Maarten Jan Van Strien, Dr. Mirko Lukovic, Dr. Vasileios Ntertimanis, Prof. Dr. Francesco Corman, Prof. Dr. Benedikt Soja
VVZ CR n/a

Last Updated: 2026-06-01 11:33:17

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
Remark: From FS25, will be held in the spring semester on a biannual basis instead of the autumn semester.
  • Wed 13:45-15:30 (HIL F 10.3)
1 h weekly

Offered In

  • Doktorat Bau, Umwelt und Geomatik (Mehr Informationen unter: )
    • Vertiefung Fachwissen (Den Doktorierenden D-BAUG steht (neben den unten aufgelisteten Kursen) das gesamte fachspezifische Lehrangebot der ETHZ und der Universität Zürich zur individuellen Auswahl offen, sofern es ein Angebot aus den speziell für Doktorierende konzipierten Lehrveranstaltungen oder regulären Lehrveranstaltungen des Master-Studiums oder des dritten Jahres des Bachelor-Studiums ist.)