Undergraduate Courses
Note: M denotes that the course grade is included in the major average.
14:540:201 Work Design and Ergonomics (3M)
Corequisite: 14:540:202, Prerequisite: (01:640:151 or 01:640:191 or 21:640:135 or 50:640:121)
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)
Corequisite: 14:540:201, Prerequisite: (01:640:151 or 01:640:191 or 21:640:135 or 50:640:121)
Experiments in robotics, time study, work measurement, workplace design and the human-machine interface, facilities layout.
14:540:210 Engineering Probability (3M)
Prerequisite: (01:640:152 or 01:640192 or 21:640:136 or 50:640:122)
Probability problems in engineering, conditional probability, discrete and continuous distributions, functions of random variables, and interval estimates.
14:540:213 Industrial Engineering Laboratory (2M)
Prerequisite: (01:640:151 or 01:640:191 or 21:640:135 or 50:640:121) AND (14:440:127)
Introduction to programming, fundamental data types, flow control, and functions; arrays, pointers, and do loops; algorithms and flow charts; GUI concepts.
14:540:220 Applied Algorithms in Industrial Engineering (3M)
Prerequisite: 14:440:102
Applied linear models, linear algebra, algorithms, pseudo-coding and programming for industrial engineering applications.
14:540:293/294 Undergraduate Research for Sophomores (BA, BA)
Prerequisite: Permission of the department
Individual research project under the guidance of a faculty adviser in a specific area of industrial engineering. No more than 3 credits are awarded per semester.
14:540:303 Manufacturing Processes (3M)
Corequisite: 14:540:304, Prerequisite: 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)
Corequisite: 14:540:303, Prerequisite: 14:635:407
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 (0,0)
Prerequisite: Permission of the 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)
Prerequisite: (01:640:244 or 21:640:314 or 50:640:314)
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.
14:540:320 Engineering Statistics (3M)
Prerequisite: 14:540:210
Statistical estimation, confidence intervals, testing hypotheses, and engineering applications throughout the course.
14:540:338 Probability Models in Operations Research (3M)
Prerequisite: (14:540:210) AND (01:640:244 or 21:640:314 or 50:640:314)
Modeling and decision making under uncertainty. Markov chains, Poisson processes, inventory models and queueing systems.
14:540:343 Engineering Economics (3)
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 Automation and Systems Design (3M)
Corequisite: 14:540:383, Prerequisite: (01:640:244 or 21:640:314 or 50:640:314) AND (01:750:227)
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 area networks.
14:540:383 Automation and Systems Design Laboratory (1M)
Corequisite: 14:540:382, Prerequisite: (01:640:244 or 21:640:314 or 50:640:314) AND (01:750:227)
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: 14:540:338
Modeling and analysis of industrial and service systems using ARENA, simulation modeling perspectives, discrete event and continuous simulation, simulation languages, statistical aspects of simulation.
14:540:385 Industrial Informatics (3M)
Prerequisite: 14:540:320
The course focuses on acquiring hands-on experience in the organization, modeling, and analysis of raw data to extract pertinent information and actionable insights for industrial and engineering systems. Covered topics include database management using structured query language programming, data processing, analysis, and modeling using statistical programming software, as well as the design and implementation of data science solutions and forecasting methods through project-based learning and case studies from manufacturing, materials engineering, and energy systems.
14:540:393/394 Undergraduate Research for Juniors (BA, BA)
Prerequisite: Permission of the department
Individual research project under the guidance of a faculty adviser in a specific area of industrial engineering. No more than 3 credits are awarded per semester.
14:540:399 Design of Engineering Systems I (3M)
Prerequisites: (14:540:338) AND (14:540:382) AND (14:540:383) OPEN TO 540 STUDENTS ONLY
Design principles, material selection, design for assembly, design for manufacturing, and the effect of environmental issues on product design.
14:540:400 Design of Engineering Systems II (3M)
Prerequisite: (14:540:303) AND (14:540:304) AND (14:540:384) AND (14:540:399) 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 (3M)
Corequisites: 14:540:434, Prerequisite: 14:540:320
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 controls.
14:540:434 Quality Engineering Laboratory (1M)
Corequisite: 14:540:433, Prerequisite: 14:540:320
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.
14:540:450 Artificial Intelligence in Decision Making (3M)
Prerequisite: 14:540:385
This course provides students with quantitative and hands-on training in AI and ML techniques in various decision-making problems that arise in industrial systems applications.
14:540:453 Production Planning and Control (3M)
Prerequisites: (14:540:311) AND (14:540:338)
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)
Open to Juniors and Seniors
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)
Prerequisite: (14:540:201) AND (14:540:202) AND (14:540:303) AND (14:540:304)
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.
14:540:487 Energy Systems Modeling and Optimization (3M)
Prerequisite: (14:540:311)
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 detail. The course will have hands-on experience with data collection, experimentation, simulation, and optimization tools as they apply to energy systems.
14:540:490 Introduction to Reliability Engineering (3M)
Prerequisite: 14:540:210
Fundamentals of reliability engineering, system reliability modeling and estimation, and reliability testing. System availability and maintainability, and design for resilience. Laboratory and hands-on experience in reliability testing, data acquisition, monitoring, and modeling.
14:540:491, 492 Special Problems
Prerequisite: Permission of the department
Studies topics in industrial engineering of special interest.
14:540:493/494 Undergraduate Research for Seniors (BA, BA)
Prerequisite: Permission of the department.
Individual research project under the guidance of a faculty adviser in a specific area of industrial engineering. No more than 3 credits are awarded per semester.
14:540:496, 497 Co-op / Internship in Industrial Engineering (3,3)
Prerequisite: Permission of the department, Graded Pass/No credit.
Work Study Experience.