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DH2321 Information Visualization 6.0 credits

Administer About course

The course includes techniques and principles for visualization of information with examples, demonstrations and lab assignments within different applications.

The course includes both theory and practical aspects with theory and lab assignments being mixed. The students are expected to see and use current tools within the focus of the course and will utilize software tools for information visualization that are being used within industry, public sector and academia.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2025 ivis25 programme students

Course location

KTH Campus

Duration
14 Jan 2025 - 16 Mar 2025
Periods
P3 (6.0 hp)
Pace of study

50%

Application code

60228

Form of study

Normal Daytime

Language of instruction

English

Course memo
Course memo is not published
Number of places

Places are not limited

Target group

Open for all students from year 3 and for students admitted to a master's programme as long as it can be included in your programme.

Planned modular schedule
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Contact

Examiner
No information inserted
Course coordinator
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Teachers
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Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus DH2321 (Spring 2020–)
Headings with content from the Course syllabus DH2321 (Spring 2020–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course covers the basic concepts of information visualization including the visualization pipeline, data types, data transformations, data models, visual mappings, visual structures, view transformations, and evaluation techniques. Students develop projects using web-based visualization tools, in particular D3.js.

The course is project-based and the students create and work both individually and in groups. The projects range from, for example, medical record visualization to environmental visualization of global trade. Group projects include actual data from open sources or from partners who provide the data.

Intended learning outcomes

Having passed the course, the student should be able to

  • develop interactive information visualisations through interactive data transformations, visual mappings and view transformations
  • justify design choices based on domain knowledge
  • analyse and criticise information visualization systems
  • demonstrate and explain own information visualisations for a broad audience
  • evaluate own information visualisations.

Literature and preparations

Specific prerequisites

Completed course in computer graphics and visualisation DD2258/DH2320, or equivalent.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

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

Grading scale

A, B, C, D, E, FX, F

Examination

  • INL1 - Home assignments, 1.0 credits, grading scale: P, F
  • PROA - Individual project, 1.0 credits, grading scale: A, B, C, D, E, FX, F
  • PROB - Individual project, 2.0 credits, grading scale: A, B, C, D, E, FX, F
  • PROC - Group project, 2.0 credits, grading scale: A, B, C, D, E, FX, 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.

Examiner

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 room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Human Centered Technology

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Transitional regulations

Students can complete missing written assignments and projects from course offerings from earlier years.

Supplementary information

In this course, the EECS code of honor applies, ee:
http://www.kth.se/en/eecs/utbildning/hederskodex