Undergraduate Student Handbook

IE Technical Electives

NOTE: All course descriptions can be found in LionPATH.

IE 402: Advanced Engineering Economy - three lectures per week 
Prerequisites: IE 302, IE 322, IE 405 
Content: Capital budgeting models, overhead cost allocation, Leontief input and output models, methods of comparing risky projects, and activity-based costing. 

IE 428: Metal Casting - two lectures and one double lab per week 
Prerequisite: IE 311 or IE 312 or METAL 408 
Content: Patterns and tooling, sand molding and coremaking, gating and risering, foundry equipment, and automation. 

IE 433: Regression Analysis and Design of Experiments - three lectures per week 
Prerequisite: IE 323 
Contents: Simple and multiple regression models and analysis, planning and implementation of experiments, single- and two-factor experiments, 2k full and fractional factorial experiments, incomplete block designs, and Taguchi’s orthogonal arrays. 

IE 434: Statistical Quality Control – three lectures per week 
Prerequisite: IE 323 
Content: Statistical techniques for univariate and multivariate monitoring of independent and autocorrelated processes; foundations of quality control and improvement. 

IE 436: Six Sigma Methodology - three lectures per week 
Prerequisites: IE 323 
Statistical techniques for structured problem-solving to improve the quality and cost of products and processes. 

IE 454: Applied Decision Analysis - three lectures per week 
Prerequisite: IE 322
Content: Theory and practice of decision analysis applied to engineering problems. 

IE 456/ME 456: Industrial Robot Applications - three lecturers per week 
Prerequisites: ME 360 or IE 305, MATH 220, MATH 250, or MATH 251 
Content: Production and Economics of Automation, Flexible Manufacturing Systems and Robots, Applications of Robots, System Integration and Control. 

IE 462: Introduction to Expert Systems - three lectures per week 
Prerequisite: CMPSC 200, CMPSC 201, or CMPSC 202, IE 323 
Contents: Intelligent manufacturing systems, foundations of C(C++) syntax, manufacturing databases, modeling and analysis, knowledge-based systems, and current and future trends in computing and manufacturing. 

IE 466: Concurrent Engineering - three lectures per week 
Prerequisites: MATH 141, MATH 220 
Content: Concurrent engineering methods for product/process development, capturing customer requirements, insuring manufacturability and serviceability. 

IE 467: Facility Layout and Material Handling - three lectures per week 
Prerequisites: IE 322, IE 405 
Content: Plant layout Methodology and Computer-aided planning, Material Handling Concepts, Material Storage and Distribution, Automation of Material Handling, Single and Multi-facility location. 

IE 468: Optimization Modeling and Methods - three lectures per week 
Prerequisites: IE 405, MATH 231 
Content: Guidelines in model building, linear and nonlinear programming, integer programming. 

IE 477: Computer Control of Manufacturing Machines and Processes - 3 lectures per week 
Prerequisites: MATH 141; CMPSC 200, CMPSC 201, or CMPSC 202 
Content: Elements of computer control and discrete-time modeling. Design and analysis of digital controls for manufac-turing machines and processes. 

IE 478: Retail Service Engineering - three lectures per week 
Prerequisite: IE 330 
Content: Introduction to retail services operations, process models, and application of information technologies to enhance productivity and profitability. 

IE 479/EDSGN 479: Human Centered Product Design and Innovation - three lectures per week 
Prerequisites: IE 408 or IE 419 
Content: Consumer product design for a global market, incorporating human factors principles and user desires in a mul ticultural perspective.

Note: The department offers a number of “new” electives every semester. Tehese courses are deisgnted as I E 497X where the X is an alphabetic leter. Please check here for the current list of electives offered or contact Mandy Engel-Herbert.

 
 

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