Program Overview

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Introduction to Visualization and Computer Graphics

The course DH2320 Introduction to Visualization and Computer Graphics is a 6.0 credit course that covers the fundamentals of visualization and computer graphics.

Course Description

This course will be discontinued at the end of Spring 2027. The last opportunity to take an examination in the course is in Spring 2027. The course is offered for the last time in Spring 2025. Students who have not completed the course can be examined within the framework of course DD2258 up to and including Spring 2027.

Course Content

The course covers the following concepts:

• Linear transformations and homogeneous coordinates
• Spatial data structures and grids
• Interpolation in 2D and 3D grids
• Modeling meshes
• Shading and color including color models and perception
• Rendering: rasterization (projection, clipping, visibility)
• Rendering: raytracing
• Raycasting a volume
• All-purpose visualization methods and their best practices

Course Structure

The course includes both theory and practical aspects. A number of tutorials will deepen the understanding of the course content using theoretical and practical assignments.

Related Courses

This course is the basis for many other visualization and graphics related courses at KTH, including:

• Visualization DD2257
• Information Visualization DH2321
• Computer Graphics and Interaction DH2323
• Advanced Graphics and Interaction DH2413
• Computer Game Design DH2650
• Advanced Topics in Visualization and Computer Graphics DD2470

Information per Course Offering

Spring 2026

• Course location: KTH Campus
• Duration: 13 Jan 2026 13 Mar 2026
• Periods: Spring 2026: P3 (6 hp)
• Pace of study: 50%
• Application code: 60554
• Form of study: Normal Daytime
• Language of instruction: English
• Target group: Open for students from year 3 and for students admitted to a master's programme as long as it can be included in your programme.
• Part of programme:
  • Master's Programme, ICT Innovation, year 1, VCCN, Mandatory
  • Master's Programme, Industrial Engineering and Management, year 1, IAVN, Mandatory

Contact

• Examiner: Tino Weinkauf
• Course coordinator: Tino Weinkauf
• Teachers: Tino Weinkauf

Course Syllabus

The course syllabus is available as a PDF.

Content and Learning Outcomes

Course Contents

• Computer graphics
• Information visualization
• Scientific visualization
• Interaction programming

Intended Learning Outcomes

The students should after the course be able to:

• Explain fundamental concepts within computer graphics such as geometrical transformations, illumination models, removal of hidden surfaces and rendering
• Explain the ideas in some fundamental algorithms for computer graphics and to some extent be able to compare and evaluate them
• Explain and apply fundamental principles within interaction programming
• Explain and understand fundamental concepts within information visualization and scientific visualization.

Literature and Preparations

Specific Prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics and/or Information Technology and the courses SF1604 Linear algebra, SF1625 Calculus in one variable, SF1626 Calculus in several variables, SF1901 Probability theory and statistics, DD1337 Programming and DD1338 Algorithms and Data Structures or equivalent.

Literature

Information about course literature can be found in the course memo for the course offering or in the course room in Canvas.

Examination and Completion

Grading Scale

P, F

Examination

• TEN1 - Examination, 3.0 credits, grading scale: P, F
• LAB1 - Laboratory Work, 3.0 credits, grading scale: P, F

Examiner

Tino Weinkauf

Ethical Approach

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further Information

Course Room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas.

Offered by

EECS/Human Centered Technology

Main Field of Study

Computer Science and Engineering

Education Cycle

Second cycle

Supplementary Information

In this course, the EECS code of honor applies.