870407 Integrative and interdisciplinary research methods for natural hazards and risks I
- Type
- Exercise and seminar
- Semester hours
- 2
- Lecturer (assistant)
- Organisation
- Offered in
- Wintersemester 2022/23
- Languages of instruction
- Englisch
- Content
-
This course focuses on research methods in natural hazards research rooted in machine learning, extreme value theory and numerical optimization. Focus is given on both theoretical context as well as practical application. The application of individual techniques is illustrated through real world problems and will be transferred to the participants individual research.
- Previous knowledge expected
-
no
- Objective (expected results of study and acquired competences)
-
After course completion, participants will have gained a comprehensive understanding of research methods in natural hazards research rooted in machine learning, extreme value theory and numerical optimization. Participants will be able to apply individual methods to their own research problems and integrate techniques from different disciplines in their research.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.