Course Information: Mathematical Data Analytics  (50304)

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.

Required Materials:   Not Yet Available
Technical Requirements:   Not Yet Available
Pre-Requisite:   (( ( with minimum grade: (CISM 3109 with minimum grade: C )
OR ( DATA 3109 with minimum grade: C) )
AND ( (CISM 3111 with minimum grade: C )
OR ( DATA 3111 with minimum grade: C) with minimum grade: ) )
OR ( (BUSA 2182 with minimum grade: C )
AND ( (MATH 3000 with minimum grade: C )
OR ( DATA 3000 with minimum grade: C) with minimum grade: ) ))
Link to View/Purchase Book:   View Book with CRN   :   View Book with Course Info
Course Attributes:   1. Asynchronous

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