Intro
Project work focusing on the candidates research area.
Content
The project course will contain topics at advanced level in signal and image processing, machine learning, power systems and cybernetics. The course is intended to bring the student to the research front in an area pertaining to his/her PhD project.
Learning outcome
After completed the course, the student shall have sufficiently detailed knowledge of the topic to be at the research front within the field and will be able to perform through research and development within the specific topic.
Forkunnskapskrav
HSE-course for PhD students (TN901)
Eksamen / vurdering
Project
Vekt 1/1
Karakter Passed / Not Passed
Examination form depends on type of PhD project.
Vilkår for å gå opp til eksamen/vurdering
Oral presentation
Method of work
8 hours of project work per week. There are no ordinary lectures in this course; each student will receive
independent supervision from the selected supervisor.
Åpent for
Students that follows the PhD-programme i Information Technology, Mathematics and Physics.
Emneevaluering
The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.
The course description is retrieved from FS (Felles studentsystem). Version 1