Table of contents

The course is connected to the following study programs

Teaching language

Norwegian or English.

Prerequisites

The student must be admitted to the PhD programme in Technology and Natural Sciences or a similar programme.

Learning outcomes

This course provides in-depth training within a topic relevant to the candidate’s PhD research. After completing the course, the student should be able to:

  • demonstrate advanced knowledge of the selected topic, including its state-of-the-art literature
  • discuss the topic using relevant concepts, theories, and terminology
  • understand the connections between the selected topic and related fields
  • critically evaluate and apply knowledge within the topic to their own research
  • independently identify and assess relevant scientific literature
  • communicate and synthesise insights gained from the topic

Contents

The student proposes a topic in consultation with their supervisor, relevant to their PhD research. The course is based on a curated selection of scientific literature, which may also be supported by practical work such as coding, modelling, lab or field activities.

Teaching and learning methods

Self-study with regular supervision. Workload per credit must correspond to one of the following minimum requirements:

  • 35 pages of peer-reviewed scientific articles (excluding references), or
  • 50 pages of textbook material (excluding references), or
  • 27 hours of relevant academic work (e.g., data analysis, coding, modelling, lab/fieldwork)

Examination requirements

The course content and plan must be approved by the PhD programme committee (PECNAT) in advance of the examination.

Examinations

Assessment method is determined on a case-by-case basis. It will normally consist of one of the following:

  • a 45-minute oral presentation with discussion,
  • an oral examination, or
  • a written essay.

The assessment should explore the topic in relation to the candidate’s broader research project.

Graded: Pass/Fail

Student evaluation

The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.

Other information

Students who wish to take the course must contact the PhD programme coordinator Ane Timenes Laugen.
Last updated from FS (Felles studentsystem) Oct. 15, 2026 1:26:23 PM