EPN-V2

ACIT4030 Machine Learning for 3D Computer Vision Emneplan

Engelsk emnenavn
Machine Learning for 3D Computer Vision
Studieprogram
Master's Programme in Applied Computer and Information Technology
Omfang
10.0 stp.
Studieår
2025/2026
Timeplan
Emnehistorikk

Innledning

Three individual and four group requirements must be passed in order to take the exam. Aesthetics and special needs are should to play an important part in the coursework requirements.

Individual:

  1. Storytelling
  2. Theory presentation
  3. Participation in excursions
  4. Participation in International Week

In group:

  1. Production of a drama
  2. Production of radio theatre
  3. Production of stop-motion animation
  4. Blog production
  5. Practical work in connection with International Week

Coursework requirements must be met by the deadlines. Coursework requirements are evaluated as passed/not passed.

Valid absence documented by a medical certificate or similiar is not an excuse for not meeting the coursework requirements. Students who, due to illness or other valid and documented reasons, do not meet the coursework requirements by the deadlines, may be given longer deadlines. A new deadline for meeting the coursework requirements is agreed upon with the relevant teacher in each case.

Students who meet the coursework requirements by the deadline, but are evaluated as Not Passed, shall be given another attempt to meet the coursework requirements one more time. A new deadline for meeting the coursework requirements is agreed upon with the relevant teacher in each case.

Anbefalte forkunnskaper

Practical experience with deep machine learning. Knowledge of computer graphics and image processing is preferable, but not strictly required.

Forkunnskapskrav

The exam consists of two parts:

Part 1: Aesthetic production in group for children and young people with special needs

Part 2: Individual reflection paper on the aesthetic production (approx. 3000 words)

New resit or rescheduled exams

If a student fails the exam or is absent at the time of the exam for a valid reason, the student is entitled to resit the exam the following semester. The resit exam will be organised in the same manner as the ordinary exam, but the group exam will be individual. The regulations on resit and rescheduled exams are set out in the Regulations relating to studies and examinations at OsloMet. Students must register for a resit or rescheduled exam.

Assessment criteria for the grade scale A- F

A: Outstanding: The assignment answer documents outstanding subject knowledge and ability to use it in a cross-disciplinary and educational context outstanding degree of independence and ability to relate subject knowledge to what is asked for in the assignment text outstanding ability in written exposition

B: Very good: The assignment answer documents very good subject knowledge and ability to use it in a cross-disciplinary and educational context very high degree of independence and ability to relate subject knowledge to what is asked for in the assignment text very high ability in written exposition

C: Good: The assignment answer documents good subject knowledge and ability to use it in a cross-disciplinary and educational context high degree of independence and ability to relate subject knowledge to what is asked for in the assignment text high ability in written exposition

D: Fairly good: The assignment answer documents fairly good subject knowledge and ability to use it in a cross-disciplinary and educational context reasonable independence and ability to relate subject knowledge to what is asked for in the assignment text reasonable ability in written exposition

E: Adequate:The assignment answer documents adequate subject knowledge and ability to use it in a cross-disciplinary and educational context adequate independence and ability to relate subject knowledge to what is asked for in the assignment text adequate ability in written exposition

F: Not passed: The assignment answer does not satisfy minimum requirements

Læringsutbytte

All examination support materials are permitted. However, sources must be stated in accordance with applicable rules for source References.

Innhold

  • 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

Arbeids- og undervisningsformer

Grading scale, A-F

Part 1 will be evaluated pass/fail

Part 2 will be evaluated according to the ECTS-grading scale, with A-E as pass grades and F as a fail grade. The criteria for the different grades will be presented to the students at the beginning of the course.

The completion of the two parts will result in one final overall grade A- F

Arbeidskrav og obligatoriske aktiviteter

Part 1 will be reviewed and graded by internal examiner.

The second assessment will be reviewed and graded by internal and external examiners

Vurdering og eksamen

The language of all teaching and supervision is English, and the students should therefore have a working knowledge of both spoken and written English.

Hjelpemidler ved eksamen

Target group

The course is designed for students who want to learn more about children and young people with special needs in programmes of professional study programs and fields such as Health Sciences, Social Sciences, Educational and International Studies, and Technology, Art and Design.

Admission

For students at the faculties of Health Sciences, Social Sciences, Educational and International Studies, and Technology, Art and Design:

Students must have completed at least one year of their undergraduate degree studies in order to be accepted.

For international exchange students:

  • Admission as an international exchange student at Faculty of Education and International Studies. Students from other academic areas may also be accepted. Students must have completed at least one year of their undergraduate degree studies at their home institution in order to be accepted.

Vurderingsuttrykk

The course have the following contents:

  • Special education
  • Inclusion
  • Children and young people with special needs
  • Aesthetics
  • Ethics
  • Physical and psychological health
  • Play, development, identity and relations
  • Genres, multimodal texts and digital platforms
  • Verbal language, aesthetic perceptions and expressions
  • Music, drama, puppet play, storytelling and other performances and aesthetic acts
  • Aesthetic communication

Sensorordning

Two internal examiners. External examiner is used periodically.

Emneansvarlig

Associate Professor Henrik Lieng