Point and interval estimation of systems parameters, statistical decision making about differences in system parameters, analysis and modeling of relationships between variables.

Introduction to the modeling, analysis and design of workflow systems in manufacturing systems and service systems such as healthcare systems, banks, service centers and warehouses.

ISYE Senior Design Preparation.

Regression analysis: multiple linear regression, diagnostics, and variable selection. Forecasting: exponential smoothing techniques and autoregressive moving average models. 

Small groups of students undertake an industry-sponsored project under faculty guidance.

Topics include conditional probability, density and distribution functions from engineering, expectation, conditional expectation, laws of large numbers, central limit theorem, and introduction to Poisson Processes.

Practical analytics project experience applying ideas from the classroom to a significant project of interest to a business, government agency, or other organization.