Nov 25, 2024  
2022-2023 Graduate Catalog 
    
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2022-2023 Graduate Catalog [ARCHIVED CATALOG]

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CIS 531 - Introduction to Programming Techniques for Data Science and Analytics

Credits: 3

Introduction to programming techniques for working with big data. Survey of programming concepts that underlie the MapReduce architecture, their implementation, and specific tools for data integration and data transformation. Basic databases and query processing in the context of real-world problems.

Repeat for Credit
N

Requisites:
Prerequisite: Either CIS 200, CIS 209, or CC 210; and either STAT 325 or STAT 510. Students may enroll in CIS courses only if they have earned a grade of C or better for each prerequisite to those courses.

Typically Offered
Fall


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