MATH 5830 - Analytics and Predictive Modeling

(3 credits)

Beginning Spring 2013, the prerequisite will be: Admission to the math graduate program or permission. This is a course in predictive modeling, machine learning, and basic informatics with applications to business analytics and biomedical data mining. Emphasis is on algorithms implementing precision-recall analysis, the receiver operating characteristic, logistic regression, neural networks, the quantification of uncertainty, and systems modeling. Emphasis is on the mathematics necessary for the use and interpretation of important algorithms used in data mining, analytics, and machine learning. All mathematics beyond basic calculus is developed within the course and no previous computer skills are required.

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