Applied Predictive Analytics

Host University

George Mason University

Semester

Spring 2024

Course Number

SYST 568 DL1

Credits

3

Discipline

Systems Engineering, Operations Research and Engineering Management

Times and Days

7:20pm-10:00pm

R

Course Information

Introduces predictive analytics with applications in engineering, business, and econometrics. Topics include data preprocessing, predictive modeling with various regression and classification models (e.g., linear, logistic regression, tree-based methods, SVM, neural networks, etc.), time series analysis, and case studies. Provides a foundation of basic theory and methodology with applied examples to analyze large engineering, business, and econometric data for predictive decision making. Hands-on experiments with R will be emphasized. Offered by Systems Engr & Operations Rsch. May not be repeated for credit. Equivalent to OR 568.

Prerequisites

STAT 515 or Graduate Standing at the MSOR or MSSE programs.