M E 381M Statistical Methods for Process Control and Manufacturing - 3 credit hrs
This course covers fundamental methods for statistical monitoring of processes, including Shewhart control charts, control charts for individual measurements, CUSUM charts and attribute control charts. In addition, design of experiments, including the statistical evaluation of main and interaction effects, as well as intelligent experimentation through reduced factorial experimental design, will be taught. DOE-based search techniques will be offered on advanced research in model based and active process control in highly flexible and sophisticated manufacturing systems, such as semiconductor manufacturing lithography of flexible automotive assembly lines.
M E 383M Heat Transfer in Industrial Systems - 3 credit hrs
This course will provide engineers with a deeper understanding of heat transfer in physics and the tools to analyze a wide range of industrially relevant heat transfer problems. Engineers will develop the skills to analyze heat transfer systems associated with a diversity of industrial applications and will learn how to use order of magnitude analysis to simplify complex problems and solution techniques for the three modes of heat transfer.
M E 384M Fluid Mechanics in Industrial Processes - 3 credit hrs
This course will offer practicing engineers and technology managers a comprehensive treatment of various fluid mechanics topics. Working professionals will enhance their knowledge and understanding of fluid flow and related phenomena in multiple application spaces. The skills developed in this course will benefit the design and analyses of various fluid-based systems.
M E 385M Applied Thermodynamics - 3 credit hrs
This course addresses the design and analysis of systems in which thermodynamic processes are central to function and performance. Fundamental thermodynamic concepts, such as enthalpy, entropy, energy, 1st & 2nd law, psychrometrics and combustion, will be reviewed. Practical topics, such as system-level thermodynamic processes for automotive engines, power plants, renewable energy production and HVAC systems, will be discussed in detail. Real-world examples will be given to cultivate skills of solving problems with basic knowledge of thermodynamics.
M E 386M Modeling, Simulation, and Control of Physical Systems - 3 credit hrs
This course reviews principles used to understand and model physical systems and introduces methods for building mathematical and simulation models of engineering systems. Emphasis is placed on development of dynamic system models for predicting the behavior or performance of systems, models for efficient data reduction or test development, models for design, and the role of models in control development. Bond graph methods are introduced especially for analysis of systems having combinations of mechanical, electrical, magnetic, electromechanical, fluid, and thermodynamic effects. The role and application of physical models in development and design of feedback controllers and estimation methods is also introduced. Applications from a broad area of engineering systems are used to motivate the topical discussion.
M E 387M Introduction to Automatic Control - 3 credit hrs
The concept of feedback is central in the study of systems and control. Feedback loops are common in nature, even in the most basic biological phenomena from the macroscopic (i.e. population dynamics, climate, etc.) to microscopic (i.e. regulation of glucose levels, temperature regulation, etc.) scales. In engineering, feedback plays a critical role in mechanical, electronic, chemical, and digital systems. More generally, systems theory and feedback are central to understanding, analyzing, and designing systems with interconnected components. It is important to understand not only if a system can be controlled, but in what frequency range and under what conditions.
The purpose of this class will be to gain a basic intuition for and understanding of linear feedback systems and develop the mathematical tools to understand the basics of design and analysis of single-input single-output feedback control systems. This class will build on the system modeling skills developed in previous courses in order to better understand how to control a system's behavior.
M E 397 Product Design Lab - 3 credit hrs
This course will focus on design methodology that will include a survey of current research in areas in design theory and methodology Students will acquire tools for solving engineering system designs and synthesis problems which they can apply in a reverse engineering and redesign project.
M E 391M Introduction to Manufacturing Systems - 3 credit hrs
With an emphasis on continuous flow manufacturing, this course will provide engineers with the knowledge and skillset to effectively analyze and design production systems to decrease manufacturing costs, decrease defects, and shorten delivery time by reducing process cycle times.
M E 389M Materials Science and Engineering - 3 credit hrs
An exploration of the fundamental aspects of the relationships between processing, structure, properties and performance of engineering materials. In this course, students will study metals, ceramics, polymers, and composites.
ENM 397 Engineering Economics - 3 credit hrs
Students are introduced to the fundamental topics of engineering economics, notions of risk and decision-making under conditions of risk and uncertainty, with applications to engineering design, business operations and planning.
Online Learning Model