course-details-portlet

IDIG4002 - Computer Graphics Fundamentals and Applications

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Project 50/100
School exam 50/100 2 hours D

Course content

High-quality image rendering is increasingly important in media technologies, with many applications ranging from entertainment to product design and architecture. This course is an introduction to computer graphics, encompassing the fundamental mathematical and physical principles that are the basis of rendering techniques.

The core topics include:

  • 3D Geometry and transformations
  • Camera models and Projections
  • Illumination
  • Diffuse, specular and glossy reflections
  • Basic surface scattering models
  • Ray Tracing
  • Texture mapping

Learning outcome

Knowledge

  • Mathematical foundations of modeling and rendering for computer graphics.
  • Theory and practice behind a surface scattering model.
  • Process of rendering a photorealistic image.

Skills

  • Efficient rendering of 3D models and scenes using open source software.
  • Implementation of surface scattering models.

General competencies

  • Be able to understand implementations of fundamental algorithms and data structures from computer graphics
  • Possess the basis for performing research in the field.

Learning methods and activities

Students will learn through lectures and practical assignments, including a group project.

The group project must be agreed upon in advance with the course responsible and is done in groups of 2 to 3 students. The students must prepare a project proposal on topics building upon the course content, specifying goals and subdivision of the work.

Compulsory assignments

  • Lab report
  • Project proposal

Further on evaluation

Grades will be given on the scale A-F. The student must obtain a pass grade in the written exam and in the group project in order to complete the course.

For the group project, a project proposal should be prepared and submitted by the students. The proposal will be assessed and approved by the course responsible before the student can start implementing the project. The final project will be evaluated based on an oral presentation (in the classroom) and a report, as well as the project files. The project proposal is mandatory to be eligible to carry out the project and take the final exam.

Re-sit examination: There will be a re-sit for the written exam at the end of February or in March. The re-sit examination can be oral.

Use of AI tools: Students may explore the use of generative AI tools (ChatGPT, Bard, Midjourney,…) in their projects to help coding and/or modelling, so long as they explain very clearly, in the report, how it was used. These tools are expected to be used responsibly and judiciously, as the primary objective of the course is to engage in meaningful learning. Over-reliance on AI would undermine this educational goal and may result in a lower grade. Failure to report the use of such tools in the implementation of the project, the report and/or the presentation will be dealt with according to the University's bylaws.

Specific conditions

Admission to a programme of study is required:
Applied Computer Science (MACS)
Computational Colour and Spectral Imaging (MSCOSI)

Required previous knowledge

There is no prerequisite course for IDIG4002. However, students are highly encouraged to check the "Recommended prior knowledge" before taking the course.

Course materials

The course does not strictly follow any textbook. It is loosely inspired by:

Pharr, M., Jakob, W., & Humphreys, G. (2018). Physically based rendering: From theory to implementation. Online edition.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Informatics
Contact information
Course coordinator:

Department with academic responsibility
Department of Computer Science

Timetable

List view
Calendar view

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 50/100 D INSPERA
Room Building Number of candidates
Autumn ORD Project 50/100 INSPERA
Room Building Number of candidates
Spring UTS School exam 50/100 D INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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