Objectives and Content
This course introduces students to the field of visualizations. Students will learn basic visualization design and evaluation principles, and gain a broad overview of visualization algorithms and techniques for various types of data and tasks. In a practical design and implementation project, they can develop their analytical abilities and further their programming skills.
The course covers fundamental concepts in visualization analysis design including their perceptual implications. The topics of the course include approaches, methods, and algorithms from volume visualization, flow visualization, information visualization and visual analytics.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- has a thorough understanding of the principles of visualization and its subfields
- has knowledge about human perception and how it relates to visualization design
- has an overview of visualization approaches for volume, flow, tabular, network, tree, set, and text data
- has knowledge in methods and techniques for the visualization of scalar and vector fields
- has an understanding of fundamental computational and interactive methods in visual analytics
- can analyze task requirements and design visualization solutions
- is able to evaluate and communicate visualization design alternatives
- can identify and select visualization techniques appropriate for particular applications
- can realize visualization solutions using modern programming techniques
- can critically read and discuss scientific papers on a specific topic
- can independently organize, structure, and realize small scale software projects