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Big Data Analytics
The objective of this course is to introduce topics in business analytics and data mining with special emphasis on Big Data. Topics may include, but are not limited to, Big Data processing systems, Big Data visualization, data stream mining and large-scale machine learning. Applications will be drawn from various areas such as social network analysis, recommendation systems, and web analytics. Students will gain knowledge on the practical design principles of big data-driven solutions for purposes of business analytics.
Weekly Contact: Lab: 1 hr. Lecture: 2 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
Mentioned in the Following Calendar Pages
*List may not include courses that are on a common table shared between programs.