Aims and Fit of Module

To provide students with the knowledge and skills required to create visual representations and interaction techniques that allow users to understand and efficiently navigate and analyze abstract data.

Learning outcomes

A.	Have an in-depth understanding of principles of information visualisation.
B.	Have a systematic knowledge of a wide range of information visualisation techniques.
C.	Critically evaluate information visualization applications.
D.	Design interactive visualisation techniques to support different types of user tasks with different types of data.

Method of teaching and learning

Students will be expected to attend two hours of formal lectures as well as to participate in two hours of seminars in a typical week. Lectures will introduce students to the academic content, while seminars include three parts: 1) introduce practical skills which will be used in the students’ projects; 2) students present additional material relevant to the class topic; 3) students discuss their projects. In addition, students will be expected to devote approximately seven hours of unsupervised time to work on their projects and presentations and for private study. Private study will provide time for reflection and consideration of lecture material and background reading. Group project and presentation will be used to test the extent to which knowledge and techniques have been learnt. A written examination at the end of the module will assess the academic achievement of students.