Syllabus

Information Design

Code
GIK373
Points
15 Credits
Level
First Cycle
School
School of Information and Engineering
Subject field
Information Systems (IKA)
This course can be included in the following main field(s) of study
Information Systems1
Progression indicator within (each) main field of study
1G1F
Approved
Approved, 31 October 2023.
This syllabus is valid from 31 October 2023.
Revised
Revised, 09 February 2024.
Revision is valid from 09 February 2024.
Download as pdf To course page

Learning Outcomes

Upon completion of the course, students will be able to:

Knowledge and understanding

  • explain how information-bearing visualisations can be adapted for specific target groups and areas of use,
  • explain and discuss information, problems, and solutions,

Skills and ability

  • discern, formulate, and solve problems in the area of information design,
  • produce advanced visualisations while taking into account design principles, sustainability perspectives, and functionality requirements in accordance with the intended quality where elements such as graphics, text, image, colour, shape, and aesthetics work together,
  • systematically execute data capture, processing, storage, analysis/modelling, and visualisation with the purpose of creating a basis for scientifically founded decisions,

Judgement and approach

  • make critical assessments while taking into account relevant scientific, societal, and ethical aspects.

Course Content

The course covers aspects of information design as well as information bearing visualisations adapted according to given criteria. Furthermore, the microdata analysis chain is addressed and utilised, which encompasses the sequence of data capture, data processing, data storage, data analysis/modelling, and data visualisation for decision support.

Assessment

  • Seminar
  • Project

Grades

The grading scale used for the final course grade is U–VG.

Grades are reported as follows:

  • Seminar - 7.5 Credits | U–G
  • Project - 7.5 Credits | U–VG

Prerequisites

  • Dynamic Web Applications 7.5 credits, Research Methodology 7.5 credits, Graphic Design 7.5 credits, Statistical Analysis 7.5 credits and Visual Identity 7,5 credits

Other Information

The language of instruction may be English. Distributed material may be in English. At the discretion of the examiner, resit examinations can in some cases be in another form than the one described in the course syllabus.

This course cannot be counted towards the same degree along with courses that have equivalent content.

If the student has received a decision/recommendation granting study support from Dalarna University because of a disability, then the examiner has the right to offer an alternative examination arrangement. The examiner takes into account the objectives in the course syllabus when deciding whether the examination can be adapted in accordance with the decision/recommendation.