Undergraduate Student Handbook
Required IE Courses
Grouped by fields of interest
IE 322: Probabilistic Models in Industrial Engineering - three lectures per week
Prerequisite: MATH 141
Content: Graphical description of data, probability basics, discrete and continuous probability distribu-tions, expected values and variances, reliability, sampling distributions, and estimation.
IE 405: Deterministic Models in Operations Research - three lectures per week
Prerequisite: MATH 220
Content: Simplex method, duality, sensitivity analysis, parametric programming, transportation models and assignment models.
IE 425: Stochachastic Models in Operations Research - three lectures per week
Prerequisites: IE 322 and MATH 220
Content: Project networks, dynamic programming, Markov processes & queuing, inventory theory, and supply chain management.
IE 453: Simulation Modeling of Decision Support - two lectures and one double lab per week
Prerequisites: IE 323, IEE 425, CMPSC 200, CMPSC 201, or CMPSC 202.
Content: Basic simulation modeling, modeling advanced system complexities, model verification and validation, experimental design and output analysis.
IE 305: Product Design, Specification and Measurement — two lectures and one double lab per week
Concurrent: MATSE 259
Content: Introduction to product design, manufacturing engineering and production, part definition and qualification, computer-aided design, and product verification and conformance to specification.
IE 470: Manufacturing System Design and Analysis — two lectures and one double lab per week
Concurrent: A manufacturing process elective - see electives
Content: Manufacturing system organization and modes of product flow, manufacturing system met-rics, lean manufacturing systems, automation/integration, and information systems for manufacturing systems.
IE 302: Engineering Economy — three lectures per week
Prerequisite: MATH 141
Content: Time value of money, basic economic analysis techniques, cost accounting, taxes, and depreciation.
IE 323: Statistical Methods in Industrial Engineering — three lectures per week
Prerequisite: IE 322
Content: Estimation, hypothesis testing, simple linear regression, design of experiments, control charts, process capability, and gage R & R studies.
Human Factors Engineering
IE 327: Introduction to Work Design — two lectures and one double lab per week
Prerequisite: MATH 141, Concurrent: EMCH 211 or EMCH 210
Content: Human information processing, basic auditory and visual displays, basic human-computer information, anthropometry and musculoskeletal principles, cumulative trauma disorders, low back problems, NIOSH lifting guidelines, work measurement, and work environment.
IE 330: Engineering Analytics — three lectures per week
Prerequisites: IE 322 and CMPSC 200 or CMPSC 201
Contents: Quantitative background in data mining, predictive analytics, and the use of Big Data in analysis.
IE 480W: Capstone Design Project
Prerequisites: IE 302, IE 327, IE 323, IE 305, IE 330, IE 405