Probability With Applications

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.
Credits: 3
Lecture: 3

Engineering Economy

Introduction to engineering economic decision making, economic decision criteria, discounted cash flow, replacement and timing decisions, risk, depreciation, and income tax.
Credits: 1
Lecture: 1

Basic Statistical Methods

Point and interval estimation of systems parameters, statistical decision making about differences in system parameters, analysis and modeling of relationships between variables.
Credits: 3
Lecture: 3

Methods Quality Improvement

Topics include quality system requirements, designed experiments, process capability analysis, measurement capability, statistical process control, and acceptance sampling plans.
Credits: 3
Lecture: 3

Simulation Analysis & Design

Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design applied to various industrial situations.
Credits: 3
Lecture: 3

Supply Chain Modeling: Logistics

Course focuses on engineering design concepts and optimization models for logistics decision making in three modules: supply chain design, planning and execution, and transportation.
Credits: 3
Lecture: 3

Supply Chain Modeling: Manufacturing &Warehousing

Warehousing Design and operation of manufacturing and warehousing facilities.
Credits: 3
Lecture: 3

Cornerstone Design

Structure a complex problem through information gathering, data analysis, industrial engineering and design principles application, project management, while working in and leading diverse teams.

Engineering Optimization

Topics include modeling with networks and graphs; linear, nonlinear, and integer programming; construction of models employing modern modeling languages; and general solution strategies.
Credits: 3
Lecture: 3

Stochastic Manufacturing & Service Systems

Methods for describing stochastic movements of material in manufacturing facilities, supply chain, and equipment maintenance networks. Includes analysis of congestion, delays, and inventory ordering policies.
Credits: 3
Lecture: 3

Statistics & Applications

Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance. Crosslisted with MATH 3770 and CEE 3770.

Note: ISyE 3770 is not for IE students

Regression and Forecasting

The regression and forecasting models and their applications in various fields of science and engineering.
Credits: 3
Lecture: 3

Decision and Data Analysis

Integrate decision and data analytics together to solve real-world business problems. Hands-on system modeling, data collection and analysis, and reporting writing projects.
Credits: 3
Lecture: 3

Simulation Analysis and Design

Advanced modeling and statistical concepts in discrete-event simulations; Monte Carlo simulation; estimation of error and risk; advanced input modeling techniques; comparison and optimization of systems.
Credits: 3
Lecture: 3

Senior Design

Senior ISYE design project requiring students to formulate project plan with off campus enterprise. Includes specific milestones, targets, and evaluation criteria.
Credits: 4
Lecture: 4

Advanced Logistics

Covers the complicated nature of practical logistics problems, and how these problems can be attacked with industrial engineering tools.
Credits: 3
Lecture: 3

Workflow Design for Manufacturing and Service

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.

Advanced Optimization

Theory and implementation of practical methods to find good or optimal solutions to optimization problems too large or complex to solve in a straightforward way.
Credits: 3
Lecture: 3

Constraint Programming

This course is an introduction to constraint programming, from its modeling language to its computational methodology and its applications to scheduling, routing, and resource allocation.
Credits: 3
Lecture: 3

Advanced Stochastic Systems

Jackson Networks and Markov Decision Processes with applications to production/inventory systems, customer contact centers, revenue management, and health care.
Credits: 3
Lecture: 3

Supply Chain Economics

Covers include pricing models; revenue management; gaming and equilibrium; principal agent models; auctions; supply chain coordination strategies; and value of information.
Credits: 3
Lecture: 3

Capital Investment Analysis

core concepts and techniques for economic decision analysis of complex capital investment problems that involve dimensions of time, uncertainty and strategy. Students are also introduced to basic terminology, concepts and issues relevant to financial engineering, financial management and corporate finance.
Credits: 3
Lecture: 3

Energy, Efficiency and Sustainability

Analysis and modeling of energy production and use, material and energy efficiency, sustainability, and cost for systems, products, and services.
Credits: 3
Lecture: 3

Methods and Applications of Machine Learning

This course introduces the available methods in machine learning, which methods are better in what situations, objective functions and errors, and how to tune parameters.

Online Learning and Decision Making

Fundamental theoretical tools for analyzing online methods, algorithmic techniques for developing computationally efficient methods, applications to real-world problems, and discussion around ethical and legal issues.

Research Assistantship

Independent research conducted under the guidance of a faculty member
Credits: 1 to 12
Lecture:

Undergraduate Research

Independent research conducted under the guidance of a faculty member
Credits: 1 to 12
Lecture:

Biologically Inspired Design (Cross Listed with BIOL/ME/MSE/PTFE)

We examine evolutionary adaptation as a source for engineering design inspiration, utilizing principles of scaling, adaptability, and robust multi-functionality that characterize biological systems.
Credits: 3
Lecture:

Special Topics

Courses in special topics of timely interest to the profession, conducted by resident or visiting faculty.
Credits: 3
Lecture: 3