CSCI 453 - Lg Scale Data Analytics & Viz

Institution:

Millersville University of Pennsylvania

Subject:

Computer Science

Description:

A practical introduction to data analytics, visualization, and blending theory. Students will learn about and apply various clustering algorithms and techniques for dealing with noisy data, use a distributed data analytics framework, complete laboratory assignments using version control, and enforce reproducibility by having all science easily sharable. Students will become familiar with modern data analytics methods and explore real-world data sets. Visualization of results will be a large component of the course through interactive and static frameworks.

Credits:

4.00

Credit Hours:

Prerequisites:

C- or higher in CSCI 366 and MATH 235 or 333 or 335.

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.millersville.edu

Phone Number:

(717) 872-3024

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Four-one-four plan

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