AIDA.2051 DATA Visualization

Id: 042976 Credits: 3-3

Description

This course introduces principles and practices of data visualization with an emphasis on applications in artificial intelligence and data-driven analysis. Students learn how to design, implement, and evaluate visualizations that that support data understanding, model interpretation, and effective communication. Topics include visual encoding, perception, multivariate data, visualization of machine learning results, and ethical considerations. Hands-on assignments use Python-based visualization tools to create clear, accurate, and accessible visualizations.

Prerequisites

AIDA.1020 Data Structures in Python II, or COMP.1020 Computing II.

View Current Offerings

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.