Undergraduate Student Handbook
IE Technical Electives
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.