NDAK16009U Visualisation (Vis)

Volume 2021/2022
Education

MSc Programme in Computer Science

MSc Programme in Computer Science with a minor subject 

Content

The course introduces participants to visualisation: the use of interactive visual representations to help people understand and analyse data. Visualisation is central to data-intensive science, business and intelligence analysis, for exploratory data analysis, and for clearly communicating findings in data.

Participants will learn about the foundations of information visualisation and techniques for visually representing different types of data and for supporting different tasks. Students will learn through a practical problem-driven approach to analyse, design, and build visualisations. In particular, through weekly exercises, the course will provide hands-on experience with creating interactive visualisations for the web. The course also emphasises the theoretical foundations of visualisations and includes considerations about current challenges in information visualisation research. 

Learning Outcome

Knowledge of

  • Key principles of visualisation
  • Fundamental visualisation and interaction techniques for different data types
  • Tools for building visualisations
  • Methods and frameworks for analysing and designing visualisations
  • Challenges in information visualisation

 

Skills in

  • Systematically analysing and comparing visualisations
  • Designing a visualisation that effectively supports a particular task
  • Visualising data types such as graphs, trees, matrices, and maps 

 

Competences in

  • Reasoning about and justifying the application of visualisation to a problem in a particular domain
  • Implementing interactive visualisation prototypes

See Absalon for a list of course literature.

Programming skills corresponding to an introductory programming course is expected; experience with computer graphics is an advantage, but is not required.

Academic qualifications equivalent to a BSc degree is recommended.
Mix of lectures and class discussions, tutorials and exercises, and group work on weekly assignments and the project.
  • Category
  • Hours
  • Lectures
  • 24
  • Preparation
  • 42
  • Exercises
  • 56
  • Project work
  • 83
  • Exam
  • 1
  • Total
  • 206
Oral
Individual
Collective
Feedback by final exam (In addition to the grade)
Credit
7,5 ECTS
Type of assessment
Oral examination, 20 min
The oral exam is without preparation and is based on a project report.

Weight oral examination: 100%
Exam registration requirements

To qualify for the exam, the student must:

1. Submit a report based on their project and

2. get approved 4 assignments that are given during the course.

Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners
Re-exam

Re-exam same as ordinary exam.

If the student is not qualified then qualification can be achieved by submitting and approval of equivalent assignments and a project report. The assignments and report must be submitted no later than 3 weeks before the re-exam.

Criteria for exam assesment

See Learning Outcome.