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Before choosing course

This course covers fundamentals in visualization and computer graphics. The goal is to understand 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

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.

We have an addon to this course that provides a bit more content in image and video processing. It awards an additional 1.5hp and is graded A-F. See DD2258.

It is the basis for many other visualization and graphics related courses at KTH:

  • 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

Choose semester and course offering

Choose semester and course offering to see information from the correct course syllabus and course offering.

* Retrieved from Course syllabus DH2320 (Autumn 2021–)

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.

Course Disposition

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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.

Recommended prerequisites

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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • LAB1 - Laboratory Work, 3,0 hp, betygsskala: P, F
  • TEN1 - Examination, 3,0 hp, betygsskala: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Profile picture 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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web DH2320

Offered by

EECS/Human Centered Technology

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

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Tino Weinkauf (

Supplementary information

In this course, the EECS code of honor applies, see: