Data Visualization ((3 Credits))

Catalog description

Data visualization is the graphical representation of information and data using tools such as charts and graphs to provide a pictorial representation of data trends, outliers, and patterns. In the world of Big Data, visual data tools and technologies are essential to analyze massive amounts of information and make data-driven decisions. In this course, students will gain knowledge in computer graphics, designing, developing, and applying techniques for both information and volume visualization. Software tools such as Tableau will be used to represent and interpret information in various visual forms, and volumetric visualization algorithms such as marching cubes and ray casting will be used for big data visualization of 3D datasets in scientific domains. Students will work on projects to help them gain knowledge about theoretical design principles and their application using real-world data.