Courses

IE 402: Advanced Engineering Economy (3 cr)

Concepts and techniques of analyses useful in evaluating engineering projects under deterministic and uncertain conditions.

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 479: Human Centered Product Design and Innovation (3 cr)

Consumer product design for a global market, incorporating human factors principles and user desires in a multicultural perspective.

IE 505: Linear Programming (3 cr)

An accelerated treatment of the main theorems of linear programming and duality structures plus introduction to numerical and computational aspects of solving large-scale problems.

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)

Comprehensive study of the fundamentals, process characteristics, economics, and practical applications of various additive manufacturing processes.

IE 552: Mechanics of the Musculoskeletal System (3 cr)

Structure and biomechanics of bone, cartilage, and skeletal muscle; dynamics and control of musculoskeletal system models.

IE 553: Engineering of Human Work (3 cr)

Physics and physiology of humans at work; models of muscle strength, dynamic movements; neural control; physical work capacity; rest allocation.

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.

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 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 axf@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.


Online Graduate Programs:


Contact information:

  • Graduate Program Office
    344 Leonhard Building
    University Park, PA 16802
    814-863-1269
    imegradoffice@psu.edu

 
 

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