Catalog Entries |
Fall Term 2025
04/10/2026 |
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| DS 330 - Data Visualization |
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DS 330 - Data Visualization
This course focuses on visualization of qualitative and quantitative data. Emphasis is placed on the mapping of multidimensional data to appropriate coordinate and color space. Introductory data visualization topics are explored in detail including domain, range, dimensionality, missing data and correlation, in additional to more advanced topics like unsupervised learning by visual clustering using linear and non-linear means, as ethics and artistry in concept and presentation. Students engage with a wide variety of publicly available data sources in the process of learning visual communication through manipulation and assembly of the scaled data features.
Prerequisite(s): M 260 or QNT 230, and M 220.
3.000 Credit hours Levels: Undergraduate Schedule Types: Lecture, On-line Mathematics Department Course Attributes: College 02 - Fee Assess |
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