course-details-portlet

VM8105 - Hydrology, Advanced Course

About

Examination arrangement

Examination arrangement: Approved report
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Approved report 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.

Specific conditions

Admission to a programme of study is required:
Engineering (PHIV)

Required previous knowledge

Admitted to a PhD-Programme. Note that if you wish to follow the course the semester it runs, but are not affiliated with the PhD programme in Engineering, please contact phd@ibm.ntnu.no.

Course materials

Beven, K. Rainfall runoff modellingSelected articles.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Hydraulic Engineering
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Civil and Environmental Engineering

Timetable

List view
Calendar view

Examination

Examination arrangement: Approved report

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Approved report 100/100

Release
2023-12-01

Submission
2023-12-15


10:00


14:00

INSPERA
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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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