EPN-V2

ACIT5930 Master's Thesis, Phase 3 Course description

Course name in Norwegian
Master's Thesis, Phase 3
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
30.0 ECTS
Year of study
2025/2026
Course history

Introduction

No formal requirements over and above the admission requirements.

Required preliminary courses

- This course is organized as a series of lectures and seminars where students present and discuss with opponents research articles that cover core concepts and topics in the literature.

- Students work alone or in groups on two projects under supervision.

Learning outcomes

The following coursework must be approved before the student can take the exam:

  • Two oral presentations of research articles.
  • Participation in the discussion of at least two research article presentations.

Content

The academic writing workshops will cover topics such as

  • Article genre conventions and structures, including IMRAD
  • Understanding of the main elements of the writing process and management of writing projects
  • Audience, purpose and context (rhetorical situation)
  • Variations in academic style
  • Disciplinary identity
  • Patterns of paragraph development
  • Coherence and cohesion
  • Directness and formality
  • Audience analysis
  • Analysing, discussing and responding to academic texts

Teaching and learning methods

The following required coursework must be approved before the student can take the exam:

Two mandatory group assignments consisting of technical tasks, summarized in reports (about 10 pages each).

Course requirements

The exam consists of three parts:

  1. Oral presentation of 15 minutes (20% of the final grade), individual or in a group of two
  2. Written evaluation of another student presentation, 500-1000 words (10% of the final grade), individual or in a group of two
  3. Final project report between 6000 and 11,000 words (70% of the final grade), individual or in a group of two.

All three parts of the exam must be passed in order to pass the course.

The oral examination cannot be appealed.

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for registering for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

Assessment

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

Permitted exam materials and equipment

Grade scale A-F.

Grading scale

Two internal examiners. External examiner is used periodically.

Examiners

Associate Professor Henrik Lieng

Course contact person

  • Convolutional neural networks in 3D
  • Deep learning for point clouds
  • Convolutional neural networks on graphs
  • Neural radiance fields
  • Joint embedding for images and 3D data