Course - Hydrology, Advanced Course - VM8105
VM8105 - Hydrology, Advanced Course
About
Examination arrangement
Examination arrangement: Report
Grade: Passed/Failed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Rapport | 100/100 |
Course content
Hydrological processes. Theories related to modelling processes and computational methods. Measurements, spatial and temporal variability of hydrological processes. Snow and ice. Modelling concepts, model development and implementation. Hydrological prognosis, floods and urban hydrology.
Learning outcome
Knowledge:
- The candidate should have knowledge on selected hydrological topics on an international level. The candidate should be able to apply the knowledge to advance methods and theories within hydrology.
Skills:
- The candidate should be able to utilize knowledge on processes in solving advanced problems within hydrology. The candidate should also be able to do advanced research and implement solutions and disseminate results on an international level.
General competence:
- The candidate should be able to utilize knowledge from the course in solving hydrological problems related to water resources.
- The candidate should also be able to present results in national and international venues.
Learning methods and activities
The course content and form will to a large degree be adapted to the number of students and the needs of each student. Project work that counts for 100% of the grade. To pass the course a score of at least 70 percent is required. The course is lectured only when phd students are enrolled, and when few students are enrolled the course is organised as a self study.
Further on evaluation
The assessment of the course is based on the project report. This should be formed as a scientific article and be presented to the lecturer, sensor and other students. Passed/not passed will be awarded based on the report, presentation and discussion.
Recommended previous knowledge
TVM4105 Hydrology and TVM4106 Hydrological Modelling or similar courses.
Required previous knowledge
Admission to a PhD-Programme.
Course materials
Beven, K. Rainfall runoff modelling
Selected articles.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2020
Language of instruction: English
Location: Trondheim
- Hydraulic Engineering
- Technological subjects
Department with academic responsibility
Department of Civil and Environmental Engineering
Examination
Examination arrangement: Report
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Rapport 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"