Dec 09, 2025  
Undergraduate Catalog 2024-2025 
    
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Undergraduate Catalog 2024-2025 [ARCHIVED CATALOG]

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MATH 3115 - Mathematical Data Analytics

Credits: 3

The objective of this course is to provide conceptual as well as hands-on experience of working with big data set with the aid of structured programmatic skills to develop a scientific approach towards mathematical data analytics. An introduction to predictive analytics will be followed by demonstrating its applications on imported data to discover meaningful patterns and trends. Various statistical (machine) learning techniques will be introduced and their advantages/disadvantages in supporting a selected data-driven learning system will be discussed.

Prerequisite(s): (DATA 3109  and DATA 3111 ) or (BUSA 2182  and MATH 3000 )
Equivalent
DATA 3115  


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