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INTERACTIVE DATA ANALYTICS

ISYE 649
Course Description

A cognitive engineering approach to human-computer interaction and data visualization in particular. Includes a four-part description of effective visualization: design intent, data and application domain, representation and interface features, and human limits and capabilities. The philosophical perspective, scientific basis, and practical tools for effective data visualization and visual analytics. Data processing and how to create static graphs as well as web-based interactive visualizations using the statistical language R.

Prerequisites

ISYE/PSYCH 349 and (ISYE 210 , ECE 331 , MATH/STAT 310 , STAT 312 , STAT 324 , or STAT 340 ), graduate/professional standing, or member of Engineering Guest Students

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.83

2.19% from Historical

Completion Rate
100%

1.89% from Historical

A Rate
70.91%

3.49% from Historical

Class Size
55

1.85% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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