Courses

IEOR Undergraduate Curriculum
IEOR Course Requirements and Flowchart

 

MIE 273 - Probability and Statistics for Engineers
Probability theory and basic statistics with emphasis on engineering applications. Discrete and continuous probability models and their use in analysis of experimental data, quality control, manufacturing processes and Monte Carlo simulation. Basic regression analysis and statistical procedures for estimation. Prerequisite: MATH 132 or equivalent.

MIE 353 - Engineering Economic Decision Making
Concepts and techniques needed in making economic decisions which confront engineers: accounting principles, cost control, budgeting, choosing among alternatives, interest and rate-of-return formulas, depreciation, replacement problems, income tax, lease-buy decisions, decisions under risk, scheduling techniques, corporation structure, financing alternatives, economic decision-making by public and regulated organizations. Prerequisite: MATH 132 or equivalent.

MIE 373 - Introduction to Simulation Methods
A working knowledge of the principles and methods of computer simulation for the analysis and design of complex systems. Emphasis on the development of the basic methods required for next-event simulations. Techniques required for validating and verifying computer simulations. Prerequisite: M&I-ENG 273. M&I-ENG 390M concurrently.

MIE 379 - Deterministic Operations Research
Introduction to the basic tools and classical deterministic models for decison makers responsible for the planning, design, and operations of physical and social systems. Topics include linear programming, integer programming, and network models. Prerequisite: MATH 235 or equivalent.

MIE 380 - Stochastic Operations Research
To provide an in-depth examination of the theory, methods, and approaches to the analysis and design of stochastic systems as they occur throughout physical and human systems. Some of the selected topics to be covered in the course include but are not limited to the following: Probability Review, Markov Chains and Queuing Models / Networks, Stochastic Dynamic Programming, and Markov Decision Processes. Prerequisite: M&I-ENG 273.

MIE 422 - Statistical Quality Control
Introduction to the fundamental tools of statistical quality control and related statistical techniques. Topics include control charts, sampling plans, process capability indices, and other statistical techniques. Emphasis on basic concepts, their application, and the risks associated with various quality control procedures. Prerequisite: M&I-ENG 273 or equivalent.

MIE 460 - Human Factors in Engineering I
Introduction to principles of human factors (ergonomics). The necessity for considering the human aspect of design of tools, machines, systems of people and machines; the literature, and how to use it; how to quantify data about people. Prerequisites: M&I-ENG 273 and junior standing; M&I-ENG 390M concurrently.

MIE 477 - Production Planning and Control
Quantitative techniques of production planning and control, including master production scheduling, manufacturing resources planning, operation scheduling, materials management, just-in-time production, facility layout, and forecasting.

MIE 478 - Capstone Design
Integration of industrial engineering/operations research principles and procedures into the design of an operating system (production/manufacturing, financial, service systems). Selected projects completed by small groups. Prerequisites: M&I-ENG senior standing and completion of all required M&I-ENG courses.

MIE 557 - Human Factors in Engineering II
Emphasis on topics from engineering psychology and research in human performance. Lectures and readings from the literature explore current theories and research relevant to human performance. Exams, term project, lab. Prerequisite: M&I-Eng 360 or consent of instructor.

MIE 597C - Operations Reasearch in Health Care
This course will cover operations research and systems engineering methods and their applications in healthcare delivery and medical decision making. The use of these methods for healthcare has recently become an active and growing area of research in diverse contexts such as organ transplant decisions, evaluation of cost effectiveness of preventive screening, scheduling of healthcare services, patient access management, and the coordination of resources for elective and emergency services. The methods introduced in class for modeling such contexts include linear and integer programming, stochastic optimization, Markov decision processes, and discrete event simulation. Policy implications will also be discussed.

MIE 620 - Linear Programming
Theory and application of linear programming. Includes formulation of linear programming models, simplex, revised simplex and dual simplex algorithms, duality, parametric procedures, interpretation of results, and the decomposition principle.

MIE 651 - Advanced Production Planning and Control
Quantitative approach to modeling and analysis in inventory systems, aggregate planning, flexible manufacturing and flexible assembly, scheduling, sequencing and forecasting. Emphasis on computer-aided production planning techniques. Prerequisites: M&I-Eng 379, 477, and 520.

MIE 657 - Human Factors Design
Design of engineering systems, machines, consumer goods, etc. which accommodate the characteristics of human users, operators and maintainers. Methods for obtaining data about human performance, preferences, tolerances, and group behavior needed in engineering design problems. Case methods used with comprehensive readings in the literature. Student projects relating to human factors in design. Prerequisites: one previous course in human factors and consent of instructor.

MIE 684 - Stochastic Processes
Introduction to the theory of stochastic processes with emphasis on Markov chains, Poisson processes, markovian queues and networks, and computational techniques in Jackson networks. Applications include stochastic models of production systems, reliability and maintenance, and inventory control. Prerequisites: M&I-Eng 271, 520, or equivalent.

MIE 686 - Multi-Criteria Decision Making (MCDM)
One of the most important, exciting and influential topics in Industrial and Systems Engineering has emerged as the field of Multi–Criteria Decision Making (MCDM). Both from a theoretical and practical perspective, MCDM influences all aspects of engineering design and analysis. We will survey and examine in some detail issues, topics and algorithmic techniques of MCDM.

MIE 697 - Logistics
A variety of issues that arise in the design and management of production/distribution systems, which typically consist of multiple plants, warehouses, and retailers or stores. Focus on the case of a sole owner with complete information whose objective is to minimize system-wide production, inventory, and transportation costs. Brief discussion of the case in which different firms own portions of the supply chain and the subsequent complications

MIE 754 - Engineering Economic Decision Making
Integrated treatment of elements of engineering economy, economics, accounting, finance and operations research to provide a unified background for economics decision making. Prerequisite: background in economics, engineering, elementary probability theory, and undergraduate economics