CANCELLED: Visualization (Vis)

Course 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 JavaScript visualization libraries such as d3.js to create interactive visualizations on the web.

This course partly overlaps with the Interactive Data Exploration course. The main difference between the courses is that the Visualization course focuses on the theoretical foundations of visualizations and includes considerations about current challenges in information visualization research. These aspects will be emphasized in the assessment of the final project and the oral exam of this course. Students can only take (and get credit for) one of the two courses.

Education

MSc Programme in Computer Science

Learning outcome

Knowledge of:

  • Key principles of visualization
  • Fundamental visualization and interaction techniques for different data types
  • Tools and JavaScript libraries 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 using JavaScript libraries

 

Competences:

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

Mix of lectures and class discussions, tutorials and exercises, and group work on weekly assignments and the project.

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

Students can only take (and get credit for) either this course or the course Interactive Data Exploration.

ECTS
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%
Aid
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners
Criteria for exam assessment

See Learning Outcome.

Single subject courses (day)

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