101-0523-10L  Frontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering

SemesterAutumn Semester 2020
LecturersO. Fink, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, K. Schindler, B. Soja, B. Sudret
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber of participants limited to 21.



Courses

NumberTitleHoursLecturers
101-0523-10 SFrontiers in Machine Learning Applied to Civil, Env. and Geospatial Engineering Special students and auditors need a special permission from the lecturers.2 hrs
Wed/214:00-16:00ON LI NE »
O. Fink, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, K. Schindler, B. Soja, B. Sudret

Catalogue data

AbstractThis doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
Learning objectiveStudents will
• Critically read scientific papers on the recent developments in machine learning
• Put the research in context
• Present the contributions
• Discuss the validity of the scientific approach
• Evaluate the underlying assumptions
• Evaluate the transferability/adpatability of the proposed approaches to own research
• (Optionally) implement the proposed approaches.
ContentWith the increasing amount of data collected in various domains, the importance of data science in many disciplines, such as infrastructure monitoring and management, transportation, spatial planning, structural and environmental engineering, has been increasing. The field is constantly developing further with numerous advances, extensions and modifications.
The course aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).
Each student will select a paper that is relevant for his/her research and present its content in the seminar, putting it into context, analyzing the assumptions, the transferability and generalizability of the proposed approaches. The students will also link the research content of the selected paper to the own research, evaluating the potential of transferring or adapting it. If possible and applicable, the students will also implement the adapted algorithms The students will work in groups of three students, where each of the three students will be reading each other’s selected papers and providing feedback to each other.
Prerequisites / NoticeThis 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 credits1 credit
ExaminersO. Fink, E. Chatzi, F. Corman, I. Hajnsek, M. A. Kraus, M. Lukovic, M. Raubal, K. Schindler, B. Soja, B. Sudret
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

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
Places21 at the most
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupDoctorate Civil Engineering (114102)
Doctorate Environmental Engineering (114202)
Doctorate Geomatic Engineering (114302)
Waiting listuntil 12.11.2020

Offered in

ProgrammeSectionType
Doctoral Department of Civil, Environmental and Geomatic EngineeringAdditional CoursesWInformation