INFS 768 - Predictive Analytics for Decision Making

3 credits

This course provides a broad understanding of the role of predictive analytics for decision-making in different application domains. Students will be exposed to a number of predictive analytics techniques originated in related fields of statistics, machine learning, and artificial intelligence. Techniques covered will include statistical techniques such as linear and logistic regression, classification techniques such as decision trees and neural networks, association analysis techniques such as market basket analysis, and cluster analysis techniques such as K-means clustering. Applications of each of the techniques for decision-making applications will be emphasized. Utilization of predictive analytics software is incorporated.

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INFS 768 - Predictive Analytics for Decision Making