EPN-V2

ADSE3200 Visualization Course description

Course name in Norwegian
Visualisering
Weight
10.0 ECTS
Year of study
2025/2026
Course history
Curriculum
SPRING 2026
Schedule
Programme description

  • Introduction

    The students will gain knowledge of and insight into how to use data visualisation to present information, for example statistics, in a more understandable way. The students will learn to use different methods of processing data, so that they are easier to work with.

  • Required preliminary courses

    No requirements over and above the admission requirements.

  • Learning outcomes

    After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

    Knowledge

    The student is:

    • Familiar with terminology and concepts used in the field of visualisation
    • Familiar with the history of the field
    • Familiar with fundamental perception theory
    • Capable of explaining different types of information and what kind of visualisation techniques are expedient
    • Capable of explaining how visualisation can make it easier to understand large amounts of data
    • Capable of explaining typical limitations in the visualisation of complex data sets
    • Capable of explaining what methods can be used to visualise different types of data
    • Capable of explaining User Experience Design and design theory.
    • Capable of explaining how persuasive design is used.
    • Capable of explaining ethical considerations in design.

    Skills

    The student is capable of:

    • Identifying the properties of a data set and deciding what visualisation method is most expedient
    • Evaluating whether visualisation will make it easier to understand a data set, and what method(s) will give the best result
    • Using specific tools to create visualisations
    • Using visualisation as a tool

    General competence

    The student is capable of:

    • Using visualisation as a tool for understanding and communicating complex contexts

  • Teaching and learning methods

    Teaching comprises a combination of lectures, workshops and practical exercises. The students work independently in groups and individually on specific issues in the field of visualisation.

  • Course requirements

    None.

  • Assessment

    Individual written digital exam, 3 hours.

    The exam result can be appealed.

    In the event of resit and rescheduled exams, another exam form may also be used or a new assignment given with a new deadline. If oral exams are used, the result cannot be appealed.

  • Permitted exam materials and equipment

    All written and printed aids are allowed.

  • Grading scale

    Grade scale A-F.

  • Examiners

    Two internal examiners. External examiners are used regularly.