MECHNCHL/MIE 7130 3 credits Control Systems Engineering
This course is intended as a first semester graduate course designed for distance education. It covers the basics for building a practical control system incorporating a microcontroller or PLC. Basic electronics, logic, programming for microprocessors and PLC’s, fractional horsepower motors, and sensors will be introduced. Control theory implementing electro-mechanical systems will be reviewed. P: consent of instructor. S.
MECHNCHL/MIE 7300 3 credits Design of Experiments
This course on Design of Experiments (DOE) provides experiences in planning, conducting, and analyzing statistically designed experiments. The methods of DOE may be applied to design or improve products and processes. Analysis of variance (ANOVA), test of hypothesis, confidence interval estimation, response surface methods, and other statistical methods are applied in this course to set values for design, process, or control factors so that one or more responses will be optimized, even when noise factors are present in the system. This course is designed to teach the nuts and bolts of DOE as simply as possible. P: MATH 4030 or MATH 6030 or MATH 6050, or consent of instructor.
MECHNCHL/MIE 7430 3 credits Quality Engineering and Management
This course provides practical tools for planning and completing quality improvement projects. The first part of the course ideas with an introduction to quality management philosophies, tools, and approaches. The second part (about 70%) of the course is devoted to the Six-Sigma (SS) philosophy, roadmap, tools, and techniques of planning and executing quality improvement projects. The course concludes with the application of the Design for Six Sigma (DFSS) approach to design or improve products and processes. P: MATH 4030 or MATH 6030 or MATH 6050, or consent of instructor.
MECHNCHL/MIE 7440 3 credits Taguchi Method of Designing Experiments
This course will provide experience in applying Taguchi Methods for designing robust products and processes. Taguchi Methods may be considered as “cookbook” approaches to designing and analyzing industrial experiments. Students will learn to plan a project and develop strategies for experiments. Definition of controllable factors, noise factors, responses, and quality characteristics (both dynamic and static) in a project will be discussed. Applications of orthogonal arrays, signal-to-noise ratio, mean-squared deviation, loss function, ANOVA, and related topics will be covered. P: MATH 4030 or MATH 6030 or MATH 6050, or consent of instructor or department chair.
MECHNCHL/MIE 7550 3 credits Product Design and Development
This course examines the front end of the product development process. Topics include: organization and management issues associated with the product development process; the identification of customer needs and the translation of these needs into product performance specifications; methodologies for the generation and selection of concepts; developing the product architecture with emphasis on creating interfaces, prototyping and design for manufacturing.
MECHNCHL/MIE 7730 3 credits Design for Manufacturability
A major portion of the costs and in turn the profitability of manufacturing organizations are affected by the quality of the design of their products. Building quality into the design will call upon engineers to systematically design a product and/or process so that it can be produced with lowest costs, rapid response time, and meet customers’ expectations. This will require the integration of design, manufacturing, management, and economic principles. The course will address this overall integration and focus on the design for manufacturing aspects so as to provide faster time to market, productive utilization of equipment, faster delivery, improved quality, reduced cost, and effective continuous improvement. Students will be able to systematically design a product and/or process so that it can be produced with lowest costs, rapid response time, and meet customers’ expectations. In doing so, they will be able to identify opportunity for design, address technical considerations of design & manufacturing, and make a business decision on feasibility of design.
MECHNCHL/MIE 7800 3 credits Advanced Finite Element Method
Introduces the finite element method. Emphasizes beam and frame analysis, plane strain, axisymmetric, and three-dimensional stress analysis. Includes dynamic analysis and field problems, such as heat transfer. Utilizes readily available finite element computer programs to solve stress analysis, heat transfer, thermal stresses, etc. P: BS in Engineering or related field.
MECHNCHL/MIE 7840 3 credits Systems Engineering Management
New technologies and time constraints need to meet the challenges of satisfying customer needs such as performance, quality, and over-all cost effectiveness. This sets up a framework for effective system engineering and management of complex systems. The systems engineering effort needs to integrate a wide variety of key design disciplines, apply robust design methods and tools in a manner as to achieve system engineering objectives, assess and control through design reviews, evaluations, feedback and corrective action. The management issues pertaining to the application of systems engineering to various projects is equally important. Principles of System Engineering Management Plan (SEMP), organizational aspects of Systems Engineering such as functional, product line, and matrix structures, and interfaces between the customer, the producer, and suppliers are some key topics that need to be addressed as part of Systems Engineering Management.