Courses and Schedule

Schedule of Classes for 2024-2025

SSIE 597 8/2 - 8/4
SSIE 510 8/24 - 9/21
SSIE 537 9/28 - 10/26
SSIE 505 11/2 - 12/7 (no class 11/30)
SSIE 561 12/14 - 2/1 (no class 12/21, 12/28, 1/18)
SSIE 520 2/15 - 3/15
SSIE 501 3/22 - 4/26 (no class 4/19)
SSIE 538 5/3 - 6/7 (no class 5/24)
SSIE 637 6/14 - 7/19 (no class 7/5)
 SSIE 598 Project due before graduation

** Schedule is subject to change

Course Descriptions

Semester 1 (Fall)

SSIE 597 – Health Systems Orientation

This course is specific to our Orientation, which exposes students to the content they will learn and provides an introduction to all aspects of the program. Supervised by department faculty member Dr. Mohammad Khasawneh.

SSIE 510 - Enterprise Systems Engineering

Global competition is serving as a catalyst for continuous process improvement and the methodical enhancement of system-wide efficiencies. This is true in disciplines ranging from the medical arena and service related systems to manufacturing. The underlying science that contributes to the systematic analysis of complex enterprise-wide systems is the focus of this course. Concepts that can be used in a synergistic manner to enhance an enterprise's efficiency and profitability will be addressed.

SSIE 537 - Ind & Sys Eng in Healthcare

The application of industrial and systems engineering principles to continuous process improvement in the healthcare domain will be studied. Concepts that will be addressed will include, but not be limited to, process mapping, optimization, scheduling, lean and flexible systems, quality enhancement, simulation, supply chain management, inventory control, and information management.

SSIE 505 - Applied Probability & Statist.

Basic concepts in probability and statistics required in the modeling of random processes and uncertainty. Bayes' formula, Bayesian statistics, independent events; random variables and their descriptive statistics; distribution functions; Bernoulli, Binomial, Hypergeometric, Poisson, normal, exponential, gamma, Weibull and multinomial distributions; Chebyshev's theorem; central limit theorem; joint distributions; sampling distributions; point estimation; confidence intervals; student-t, x squared and F distributions; hypothesis testing; contingency tables, goodness of fit, non-parametric statistics, regression and correlation. Prerequisite: one year of calculus.

Semester 2 (Spring)

SSIE 520 - Modeling And Simulation

Stochastic processes, review of probability and statistics, covariance, input data selection, random number generators, non-parametric tests for randomness, generation of random variates, output data analysis, terminating and non-terminating simulations, model validation, comparison of alternatives, variance reduction techniques, sensitivity analysis, experimental design and predictive models.

SSIE 501 - Intro to Systems Science

Includes a general characterization of systems science as a field of study; intellectual roots, philosophical assumptions and historical development of the field; an overview of fundamental systems concepts, principles and laws; and a survey of application areas of systems science and its implications for other fields of study.

SSIE 561 - Quality Assurance For Engineer

Statistical quality control, designing for quality, process control, vendor and customer quality issues, quality costs and production.

Semester 3 (Summer)

SSIE 538 - Healthcare Financial Eng

This course is intended to provide an overview of healthcare finance and the current financial environment for the healthcare industry and to learn how to apply engineering economics to healthcare financial management. It will provide information on financial and managerial accounting and how the use of Systems Science and Industrial and Systems Engineering principles can be applied to financial management concepts to allow for health-related organizations to make sound business decisions.

SSIE 637 - Advanced Topics in Health Syst

This course is intended as an advanced course in health systems and health care delivery. This course is oriented to provide the graduate students with an in-depth study of the application of industrial and system engineering principles for continuous process improvement in the health care. Concepts that are addressed and studied include, but are not limited to, process mapping, optimization, scheduling, lean and flexible systems, quality enhancement, simulation, supply chain management, inventory control, and information management.

SSIE 598 - Msie Project

Project acceptable both to student and to a faculty committee.

Schedule Downloads

*Subject to Change