course-details-portlet

IE500217 - Computer Graphics

About

Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Portfolio assessment 100/100

Course content

This course is an introduction to computer graphics. The main themes are:

- Introduction to essential algorithms and data structures used in computer graphics.

- Use of software packages to create computer graphics.

- Applications of computer graphics from science and industry.

Concepts from computer graphics include:

- 3D modelling.

- The graphics pipeline.

- Projections.

- Ray Tracing.

- Texture Mapping.

- Shading.

All topics are taught from low-level to high-level: theory, implementation, application in software packages, and applications in science and industry.

Learning outcome

Knowledge:

- Be able to explain in detail central concepts, data structures and algorithms in computer graphics.

- Be familiar with important applications of computer graphics.

Skills:

- Be able to create 3D models and scenes, and apply a range of techniques from computer graphics, by using graphics software.

General competence:

- Be able to recognize and understand implementations of elementary algorithms and data structures from computer graphics.

- Be able to discuss which data structures and algorithms from computer graphics can best be used in specific situations.

Learning methods and activities

Learning methods and activities

Lectures, video lectures, classroom exercises, 3-6 theoretical and project assignments.

Compulsory assignments

  • Oblig

Further on evaluation

The portfolio consists of a predefined number (3-10) of theoretical and project assignments. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. The assessment is an overall evaluation of the portfolio.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Admission to a programme of study is required:
Automation and Intelligent Systems (BIAIS)
Computer Science (BIDATA)
Electrical Engineering (BIELEKTRO)
Master in engineering in Simulation and Visualization (880MVS)

Course materials

Course literature will be announced at the start of the course.

Facts

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

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2022

Language of instruction: English

Location: Ålesund

Subject area(s)
  • Graphics/Image Processing
  • Engineering Subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of ICT and Natural Sciences

Examination

Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Portfolio assessment 100/100 INSPERA
Room Building Number of candidates
Spring UTS Portfolio assessment 100/100 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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