EPN-V2

ADSE3200 Visualization Course description

Course name in Norwegian
Visualisering
Study programme
Bachelor in Applied Computer Technology
Bachelor's Degree Programme in Software Engineering
Bachelor's Degree Programme in Information Technology
Weight
10.0 ECTS
Year of study
2023/2024
Curriculum
SPRING 2024
Schedule
Programme description
Course history

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
  • is familiar with the history of the field
  • is familiar with fundamental perception theory
  • is capable of explaining different types of information and what kind of visualisation techniques are expedient
  • is capable of explaining how visualisation can make it easier to understand large amounts of data
  • is capable of explaining typical limitations in the visualisation of complex data sets
  • is capable of explaining what methods can be used to visualise different types of data

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 (maximum 3 people) and individually on specific issues in the field of visualisation.

Course requirements

None.

Assessment

Portfolio assessment subject to the following requirements:

  • group work (maximum 3 people, written submission of 3,000-5,000 words)
  • individual work (written submission of 3,000-5,000 words)

One overall grade is awarded for the portfolio. Both parts of the portfolio must be awarded a grade E or better for a student to successfully pass the course.

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.

Grading scale

Grade scale A-F.

Examiners

Two internal examiners. External examiners are used regularly.