101-0522-10L Doctoral Seminar Data Science and Machine Learning in Civil, Env. and Geospatial Engineering
| Semester | Spring Semester 2025 |
| Lecturers | M. Lukovic, E. Chatzi, F. Corman, I. Hajnsek, V. Ntertimanis, K. Schindler, B. Soja, M. J. Van Strien |
| Periodicity | two-yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 101-0522-10 S | 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. | 1 hrs |
| M. Lukovic, E. Chatzi, F. Corman, I. Hajnsek, V. Ntertimanis, K. Schindler, B. Soja, M. J. Van Strien |
Catalogue data
| 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. |
| Learning 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. |
| Prerequisites / Notice | This doctoral seminar is intended for doctoral students affiliated with the Department of Civil, Environmental and Geomatic Engineering. Other students who work on related topics need approval by at least one of the organisers to register for the seminar. Participants are expected to possess elementary skills in statistics, data science and machine learning, including both theory and practical modelling and implementation. The seminar targets students who are actively working on related research projects. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 1 credit |
| Examiners | B. Soja, E. Chatzi, F. Corman, I. Hajnsek, M. Lukovic, V. Ntertimanis, K. Schindler, M. J. Van Strien |
| Type | ungraded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
| Additional information on mode of examination | Ungraded semester performance. Presence is mandatory to pass the seminar. Every participant has to present his/her reseach. |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| General |  : Special students and auditors need a special permission from the lecturers |
| Places | 21 at the most |
| Priority | Registration for the course unit is only possible for the primary target group |
| Primary target group | Doctorate Civil Engineering (114102)
Doctorate Environmental Engineering (114202) Doctorate Geomatic Engineering (114302) |
| Waiting list | until 12.02.2025 |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Doctorate Civil, Environmental and Geomatic Engineering | Subject Specialisation | W |  |