Apr 25, 2024  
2018-2019 Catalog and Handbook 
    
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2018-2019 Catalog and Handbook [ARCHIVED CATALOG]

DATA 609 - Mathematical Modeling Techniques for Data Analytics (3 Credits)

Prerequisite: DATA 602  and DATA 605  
In this course students will learn mathematical methods for understanding data relationships and for system optimization. Mathematical modeling techniques for representing a complex system will be presented. Topics to be covered include linear (LP) and non-linear programming (NLP); algorithmic search methods for optimization; branch and bound and dynamic programming, and their uses. Use of modeling packages will be stressed. Examples will be used from actual systems. In addition, students will be expected to explain their models, reports, and analyses in plain and easy-to-understand language.