Note: M denotes course is included in major average
14:540:201 Work Design and Ergonomics (3M)
Man-machine analysis, motion economy, time study, predetermined time systems, work sampling; introduction to robotics, facilities layout, material handling; introduction to ergonomics and anthropometric, biomechanical, and human-machine interface models.
14:540:202 Work Design and Ergonomics Laboratory (1M)
Experiments in robotics, time study, work measurement, workplace design and the human-machine interface, facilities layout.
14:540:210 Engineering Probability (3M)
Prerequisite: 01:640:144 or 01:640:152 or 01:640:154 or 01:640:192 or 21:640:136 or 50:640:122
Probability problems in engineering, conditional probability, discrete and continuous distributions, functions or random variables, interval estimates.
14:540:213 Industrial Engineering Laboratory (1M)
Introduction to programming, fundamental data types, flow control, and function; arrays, pointers, and
do loops; algorithms and flow charts; GUI concepts.
14:540:303 Manufacturing Processes (3M)
Corequisite: 14:540:304, Prerequisite: 14:440:221, 14:635:407
Properties of engineering materials; metals, polymers, ceramics and composites, bulk and sheet
forming, traditional and non-traditional material removal processes, polymer processing, laser and
energy-beam processes, additive layered manufacturing processes and micro/nano fabrication
processes. Basic and computerized machine tools. Process chains, planning and process
optimization. Engineering metrology and product quality.
14:540:304 Manufacturing Process Laboratory (1M)
Experiments on machine tools: lathes, drilling machines, milling machines, and CNC milling machines; robot workplace design and computer control of machine tools.
14:540:305, 306 Honor Candidacy Problems
Prerequisite: Permission of departmental chairperson. Prerequisite for industrial engineering students who wish to be James J. Slade Scholars.
Extensive reading and study in a particular problem area of industrial engineering under the guidance of a faculty member.
14:540:311 Deterministic Models in Operations Research (3M)
Elements of modeling and problem solving. Use of a software package like LINDO, EXCEL to solve
real life industrial engineering problems. Linear programming, duality, sensitivity analysis, integer
programming, transportation and assignment problems.
14:540:338 Probability Models in Operations Research (3M)
Prerequisite: 14:540:210, 01:640:244
Modeling and decision making under uncertainty. Markov chains, poisson processes, inventory
models and queueing systems.
14:540:343 Engineering Economics (3M)
Open only to junior and senior engineering students.
Economic decisions involving engineering alternatives, annual cost, present worth, rate of return, and benefit-to-cost; before and after tax replacement economy; organizational financing; break-even charts; unit and minimum-cost public sector studies.
14:540:382 Computer Control of Manufacturing Systems (3M)
Programmable automation applied to manufacturing. Computer architecture, sensors and automatic data acquisition, computer control of actuators, continuous and discrete control of processes, computer integration, and local areas networks.
14:540:383 Computer Control of Manufacturing Systems Laboratory (1M)
Use of microcomputers and industrial controllers in controlling machines and processes. Assembly language programming, ladder logic programming, and interfacing controllers to sensors and actuators. Experiments in manufacturing applications.
14:540:384 Simulation Models in Industrial Engineering (3M)
Prerequisite: 14:540:210, 14:540:338
Modeling and analysis of industrial and service systems, simulation modeling prospectives, discrete event and continuous simulation, simulation languages, statistical aspects of simulation.
14:540:399 Design of Engineering Systems I (3M)
Prerequisites or Corequisites: 14:540:303, 14:540:304, 14:540:382, 14:540:384
Design principles, material selection, design for assembly, design for manufacturing, effect of environmental issues on product design.
14:540:400 Design of Engineering Systems II (3M)
OPEN TO 540 STUDENTS ONLY
A team approach to the redesign of a " real life" product. Alternative engineering plans for improved designs will be developed and implemented. Both written and oral reports will be completed.
14:540:433 Quality Engineering and Statistics (3M)
Prerequisite: 14:540:210, 540:434
Statistical methods for monitoring and improving product quality and decreasing variation. Factorial
experiments, variables and attribute control charts, acceptance sampling, on- and off-line process
14:540:434 Quality Engineering Laboratory (1M)
Practical application of quality engineering methodologies, statistical software, gage studies, online
process control, design of experiments to improve product design, industrial manufacturing
processes, and system design.
14:50:453 Production Planning and Control (3M)
Prerequisite: 14:540:311, 338.
Coordination of activities of both manufacturing and service systems. Systems design; input and output; planning and scheduling. Decision-making problems employing mathematical techniques of linear programming. Sequencing jobs on machines and line balancing techniques.
14:540:461 Engineering Law (3M)
Prerequisite: Permission of department. Open only to seniors and graduate students in engineering.
Legal and ethical aspects of engineering; bids, awards, and negotiated contracts. Liabilities to the public and to employees, contract labor law. Contracts, patents, copyrights, trademarks, and engineering specifications.
14:540:462 Facilities Layout and Materials Handling (3M)
Prerequisites: 14:540:201, 303
Fundamentals of the design, layout, and location of industrial and nonmanufacturing facilities. Selection of machines and material handling equipment and their efficient arrangement. Emphasis on quantitative methods. Warehouse layout. Facility location theory.
14:540:484 Design of an Industrial Enterprise (3M)
Open only to senior industrial engineering majors.
Senior-level capstone course. Students in small groups select product(s) to be manufactured, and design and justify the enterprise.
14:540:485 Industrial Information Systems (3M)
Design of information systems for integrated manufacturing. Modeling, specification, and implementation of factory information systems. Relational database model and structured query language. Methods of automatic data acquisition and integration of factory floor information with factory host database for production planning and control.
14:540:486 Automated Manufacturing Systems (3M)
Introduction to computer-aided design and computer-aided manufacturing (CAD/CAM), numerical
control, hardware and programming, mechatronics systems, robotics hardware and programming,
and machine vision with applications in manufacturing.
14:540:487 Energy Systems Modeling and Optimization (1M)
Prerequisite: 14:540:311 Deterministic Models in OR, 14:332:402 Sustainable Energy: Choosing
This course addresses the design, analysis, modeling and optimization of selected energy systems
(including conventional fossil fuels and renewable wind and solar). This course will provide the
basis for applying mathematical modeling and optimization techniques in energy systems. A set of
projects and case studies focused on modeling and optimization of a variety of energy systems will be
assigned to students and discussed in details. The course will have hands on experience with data
collection, experimentation, simulation and optimization tools as they apply to energy systems.
14:540:488 Design of Decision Support Systems
Designing, building and testing computer systems that emulate human thinking and can draw
conclusions based on incomplete and fuzzy data. Design and implementation of user interfaces.
Students are required to design and build a decision support system. Students will use various test
tools to validate their systems.
14:540:491, 492 Special Problems
Studies in phases of industrial engineering of special interest.
14:540:496, 497 Co-op Internship in Industrial Engineering (3,3)
Prerequisite: Permission of department, Graded Pass/No credit.
Intended to provide a capstone experience to the student’s undergraduate studies by integrating prior
course work into a working industrial engineering professional environment. Credits earned for the
educational benefits of the experience and granted only for a continuous, six-month, full-time