Mathematical Modeling Techniques for Data Analytics
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Overview
Subject area
IS
Catalog Number
609
Course Title
Mathematical Modeling Techniques for Data Analytics
Department(s)
Description
Prerequisites: IS 602 and IS 605In 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.
Typically Offered
Fall, Spring
Academic Career
Graduate
Liberal Arts
No
Credits
Minimum Units
3
Maximum Units
3
Academic Progress Units
3
Repeat For Credit
No
Components
Name
Lecture
Hours
3
Requisites
026532
Course Schedule
Schedule
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