Aims and Fit of Module

The Information Visualisation module is designed to provide students with both foundational knowledge and hands-on skills for designing, developing, and evaluating visual representations that enhance human understanding of complex and abstract data. With a strong emphasis on human-centered design principles, the module supports students in creating effective visualisation systems that enable data exploration, pattern recognition, and informed decision-making. Aligned with the interdisciplinary nature of data science and visualisation design, the module draws upon insights from computer graphics, interaction design, data analysis, and cognitive psychology. It fosters critical thinking, creativity, and innovation in the use of visual encoding and interaction techniques. In response to the increasing demand for intuitive and effective data interfaces across diverse domains, the module bridges theoretical foundations with practical applications, preparing students to address real-world challenges in data communication and analytical reasoning.

Learning outcomes

A. Critically analyze and apply core principles of information visualisation in the design and evaluation of visual representations.
B. Design visualisations tailored to different data types and user tasks being able to identify and explain key design considerations underlying specific visualisation approaches.
C. Critically evaluate and compare the usability and effectiveness of visualisation techniques using established frameworks and evaluation criteria.

Method of teaching and learning

Lectures will introduce students to the academic content, focusing on fundamental knowledge, techniques, and core principles of visualization design. Seminars will consist of three components: 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 and implement their projects. In addition to scheduled sessions, students are expected to work independently on their projects. Private study time will allow for reflection, review of lecture materials, and engagement with background readings. Assessment will be divided into a group project and an individual project. The group project will evaluate students' ability to identify user requirements and apply design considerations. The individual project will assess how well students have understood and applied the knowledge and techniques covered in the module.