NDAK16009U  Visualization (Vis)

Volume 2018/2019
Education

MSc Programme in Computer Science

MSc Programme in Computer Science w. a minor subject 

Content

The course introduces participants to visualization: use of interactive visual representations to help people understand and analyse data. Visualization 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 visualization 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 visualizations. In particular, through weekly exercises, the course will provide hands-on experience with creating interactive visualizations for the web. The course also emphasizes the theoretical foundations of visualizations and includes considerations about current challenges in information visualization research. 

Learning Outcome

Knowledge of

  • Key principles of visualization
  • Fundamental visualization and interaction techniques for different data types
  • Tools for building visualizations
  • Methods and frameworks for analyzing and designing visualizations
  • Challenges in information visualization

 

Skills

  • Systematically analysing and comparing visualizations
  • Designing a visualization that effectively supports a particular task
  • Visualizing data types such as graphs, trees, matrices, and maps 

 

Competences

  • Reasoning about and justifying the application of visualization to a problem in a particular domain
  • Implementing interactive visualization 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.
Mix of lectures and class discussions, tutorials and exercises, and group work on weekly assignments and the project.
Credit
7,5 ECTS
Type of assessment
Oral examination, 20 min
The oral exam is without preparation and is based on a group project report.
Weight oral exam: 100%
Exam registration requirements

To qualify for the exam, the student must:

(1) hand in a report based on their project and

(2) have 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 hand-in and approval of equivalent assignments and a report for a final project. The assignments must be submitted no later than 2 weeks before the re-exam.

Criteria for exam assesment

See Learning Outcome.

  • Category
  • Hours
  • Lectures
  • 24
  • Exercises
  • 56
  • Preparation
  • 42
  • Project work
  • 83
  • Exam
  • 1
  • Total
  • 206