course-details-portlet

IE500217

Computer Graphics I

Credits 7.5
Level Second degree level
Course start Autumn 2021
Duration 1 semester
Language of instruction English
Location Ålesund
Examination arrangement Portfolio assessment

About

About the course

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

Portfolio assessment. The portfolio consists of a predefined number (3-10) of theoretical and project assignments. The assessment is an overall evaluation of the portfolio.

Course materials

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

Subject areas

  • Graphics/Image Processing
  • Engineering Subjects

Contact information

Lecturers

Department with academic responsibility

Department of ICT and Natural Sciences

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letter grades

Ordinary examination - Autumn 2021

Portfolio assessment
Weighting 100/100 Date Release 2021-12-01
Submission 2021-12-06
Time Release 12:00
Submission 12:00
Exam system Inspera Assessment

Re-sit examination - Spring 2022

Portfolio assessment
Weighting 100/100 Exam system Inspera Assessment