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Mar 12, 2026
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CIS 5560 - Introduction to Big Data Science (3)
This course is repeatable: No
Max # of units may be repeated: 0
Total # of units allowed for credit: 3
Max times this course can be taken for credit: 1
Course Description: This is to learn practical knowledge of Big Data and Data Science and to study how to process, store, and analyze Big Data generated from social media, web logs, financial data, marketing data etc for business intelligence using MapReduce and NoSQL DB with the examples in the labs.
Credit Hours: 3 lecture hour(s) per week
Grading: ABCDF
Mode of Delivery: Face to Face
Campus: Main Campus
Equivalent Course(s): None
Prerequisite(s): CIS 2830 or equivalent
Needs Permission to Enroll: No
Special Fee Applied: No
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