Dec 21, 2024  
Undergraduate Catalog 2022-2023 
    
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Undergraduate Catalog 2022-2023 [ARCHIVED CATALOG]

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DATA 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 sets 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): (CISM 3109 /DATA 3109  and CISM 3111 /DATA 3111 ) or (BUSA 2182  and MATH 3000 )
Equivalent
MATH 3115 


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