Undergraduate Student Handbook

Required IE Courses 

Grouped by fields of interest

NOTE: All course descriptions can be found in LionPATH.

Management Systems 

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.

Manufacturing Engineering 

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.

Management Controls 

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.

Analytics

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.

Additional

IE 480W: Capstone Design Project
Prerequisites: IE 302, IE 327, IE 323, IE 305, IE 330, IE 405

 
 

About

Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745