EPN-V2

PPUDPRA10 Teaching practice, 1st period Course description

Course name in Norwegian
1. praksisperiode
Weight
0.0 ECTS
Year of study
2025/2026
Course history
Programme description

  • Introduction

    Studentene skal jobbe aktivt i grupper for å oppleve gruppedynamikken og for å kunne reflektere over egen atferd i gruppesammenheng. Undervisningsformen vil veksle mellom digitale læringsformer, undervisningsmøter, studentpresentasjoner og casediskusjoner, og suppleres med bruk av digitale ressurser.

  • Learning outcomes

    No formal requirements over and above the admission requirements.

  • Content

    Two internal examiners. External examiner is used periodically.

  • Teaching and learning methods

    Upon successful completion of the course, the candidate:

    Knowledge

    • has knowledge of problems within graphics and imaging that are applicable to machine learning, such as classification, segmentation, correspondence detection, and shape retrieval.
    • has a good understanding of problems related to 3D shape and image synthesis.

    Skills

    • is able to apply state-of-the art machine learning algorithms to real-world problems related to imaging and 3D graphics.

    Competence

    • is aware of the state of the art in algorithms for machine learning on 3D data.
    • has experience with real world problems within the course domain, with a focus on solutions using deep neural architectures.

  • Course requirements

    Teaching approach is a combination of traditional weekly lectures and practical work on a semester group project. Lectures will present influential research for relevant topics. The semester group project exposes the student to a chosen real-world problem relevant to the course topic.

    Practical training

    The student will be exposed to programming with repositories such as ShapeNet and will have created solutions for real-world problems related to deep learning for 3D data.

  • Assessment

    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).

  • Permitted exam materials and equipment

    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.

  • Grading scale

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

  • Examiners

    Grade scale A-F.