DATA VISUALIZATION (4 SCU)

Learning Outcomes

Design and create the visual representation for numerical data sets using various visualization tools and techniques; Identify and critique techniques and practices in non-numerical data representation; Critique and evaluate the suitability of a specific technique for specific types of data sets; Critically assess a visualization representation and make justified recommendations

Topics

Information Visualization is the study of presenting information in a graphical format to facilitate effective decision making. In this subject, you will learn the theories and methodologies to visualize abstract data (numerical or non-numerical) for human cognition. Topics covered include histograms, scatter plots, hierarchical data visualization, surface plots, tree maps and parallel coordinate plots etc. In particular, you will learn the representation of temporal and spatial data, networks and trees, and textual data. You will also learn the principles and techniques on visualization design and evaluation.

Prerequisite(s): None