Courses

IE 402: Advanced Engineering Economy (3 cr)

Concepts and techniques of analyses useful in evaluating engineering projects under deterministic and uncertain conditions. Enforced prerequisite at enrollment: IE 302 and IE 322 and IE 405 »

IE 478: Retail Services Engineering (3 cr)

Introduction to retail services operations, process models, and application of information technologies to enhance productivity and profitability. »

IE 511: Experimental Design in Engineering (3 cr)

Statistical design and analysis of experiments in engineering; experimental models and experimental designs using the analysis of variance. »

IE 516: Applied Stochastic Processes (3 cr)

Study of stochastic processes and their applications to engineering and supply chain and information systems. »

IE 527: Additive Manufacturing Processes (4 cr)

The course will cover the fundamentals of Additive Manufacturing (AM) processes. During the course the students will leverage their background in computer-aided manufacturing to learn the Digital Work Flow steps from Design to Manufactured AM parts. »

IE 550: Manufacturing Systems (3 cr)

Fundamental theory for analyzing manufacturing systems including structural analysis, optimization and economics of manufacturing systems, automated and computer-aided manufacturing. »

IE 557: Human-in-the-Loop Simulation (3 cr)

Design and programming of simulations that facilitate human control, real-time discrete-event simulation, supervisory control of dynamic system. »

IE 558: Engineering of Cognitive Work (3 cr)

Information processing and decision making models of the human in the modern workplace, emphasizing visual inspection and other industrial applications. Prerequisite: IE 323 and IE 408 »

IE 560: Manufacturing Processes and Materials (3 cr)

Materials processing and manufacturing methods for engineering materials; manufacturing process modeling and control; manufacturability of engineering materials. »

IE 570: Supply Chain Engineering (3 cr)

Use of operations research models and methods for solving problems in supply chain systems. »

IE 575: Foundations of Predictive Analytics (3 cr)

Survey course on the key topics in predictive analytics. »

Students may select from a list of elective courses maintained by the program. This list may change over time in response to market demand. Please contact the program at imegradoffice@psu.edu to discuss your options and view the most up-to-date list.

Culminating Project and Research

IE 894: Capstone Design (3 cr)

Students will apply the analytical and design skills learned in previous courses to solve an industrial problem based on their workplace or industrial partner. Students who do not have an identifiable work-related problem will work collaboratively with the instructor to develop a suitable topic. This is an individual project culminating in a final report. »