Precision and efficiency are the cornerstones of success in today’s industries, and experts in quality engineering are essential to driving meaningful progress. This program provides the advanced knowledge and practical skills needed to solve complex challenges, optimize processes, and improve performance in fields like manufacturing, healthcare, and technology.
With a curriculum focused on advanced analytics and innovative methodologies, you’ll develop the expertise to tackle today’s toughest problems and create impactful solutions. Whether it’s enhancing product reliability or streamlining operations, this program equips you to make a lasting difference in quality management.
Combine engineering principles with advanced problem-solving skills.
Course Name
Course #
Credits
This course will cover analysis tools needed in technology and industry. Topics covered are: Time series analysis, index numbers, linear programming, simplex method, model building, and non-parametric analysis.
TIE5013
3
Course will cover all topics related to Engineering Quality such as: Inference from two populations, Statistical Process Control, Process Capability Analysis, Analysis of variance, regression analysis, design of experiment, the Taguchi method, measurement system analysis, Process Mapping, Non-parametric tools, Root cause Analysis.
TME5343
3
This course explains the principles of reliability and maintainability engineering. It explains the reliability viewpoints: reliability metrics, customer perception, and things engineers do. It focuses on the reliability cycle and functional engineering activities in the product life cycle. The students will apply reliability and maintainability modeling techniques in product design. They will apply reliability tools and methods for analysis and product reliability problems in the product design process, product reliability testing, and maintaining and/or improving reliability and quality in production. Topics include: basic reliability models, constant failure rate model, time-dependent models, reliability of systems, state-dependent systems, design for reliability, maintainability, design for maintainability, availability, the analysis of failure data, reliability estimation and applications. Competencies and collaborative e-learning will be demonstrated by students conducting reliability and/or maintainability projects. A project report and an oral presentation are required from each team.
EIE5613
3
This course provides the student with insights into human and organizational behavior affecting projects, in addition to the quantitative tools for the successful management of engineering projects. The course addresses a variety of technology and industrial project types, and addresses the methodology applied to select, initiate, operate, and control as well as terminate a project. The course highlights the role of project managers and their interaction with the rest of the organization.
TIE5343
3
The course prepares quality professionals for leading roles in management and decision making. Total quality approach to management, global competitiveness and strategic management are included in this course. Topics also include ethics and social responsibilities in quality management. Quality cultures and attitudes, customer satisfaction, retention, loyalty and empowerment of employee’s contribution to quality and quality teams will be discussed. Relationship between ISO9000 and total quality will be covered in this course. The course will cover total quality tools, quality function deployment, continual improvement methods and implementing of total quality management.
TIE6533
3
This course covers the design and analysis of experiments used to improve quality of product and /or process. Topics include comparative experiments, experiments with single factor and design and analysis of engineering experiments. The course will also cover factorial design, blocking and confounding in designs, fractional factorial design, fitting regression models, response surface methods and experiments with random factors and nested design.
TIE6353
3
This class will offer a series of topics including but not limited to: Energy conversion technologies, Sustainable and Green Manufacturing, Nano Technology, and any other topic of interest in technology.
TME6343
3
Total Credits:
21
Course Name
Course #
Credits
This course introduces students to the strategic and operational uses of information systems. The use of information systems is examined for achieving and maintaining competitive advantage, as well as managerial issues concerning the development, implementation, and management of enterprise information systems. Case studies address the impact of information systems on the organization, the challenges involved in managing technological change in organizations, and the impact of emerging technologies. Students will develop a socio-technical perspective on the use of information systems to solve real-world problems.
INT6043
3
Relationship between product engineering and manufacturing engineering. Casting processes, bulk deformation processes, sheet metal processes, joining & welding processes, single-cutting-edge operations, multi-cutting-edge operations, random-cutting, edge operations, non-traditional machining, design for fabricability, the factory of the future.
EMS6203
3
The course provides students with advance knowledge and theory of current innovative methods of product design and development. Topics include axiomatic design, one-FR design, multi-FR design, design of systems, Axiomatic design of manufacturing systems, Axiomatic design of materials-processing techniques, product design, product complexity, design for safety, product liability and case studies.
EMS6823
3
The need for supply chain management (SCM), Supply chain in the global environment, the consequences of SCM, the role of marketing in SCM, the dynamic role of sales function in SCM, improving supply chain sales forecasting, the evolution and growth of production in SMC, purchasing in SCM, the role of logistics in SCM, information systems in SMC, financials issues in SMC context, customer services in SCM, inter-functional coordination in SCM, measuring performance in SCM, “various case studies covering the latest research topics in SCM with particular applications in Automotive, Food Processing Industry and other Manufacturing Industries are discussed”.
EEM6753
3
The objective of this course is to provide graduate students with advanced knowledge in production planning and control. Topics will cover: inventory control, material requirement planning, manufacturing resource planning, the total quality organization, basic factory dynamics, variability basics, influence of variability on performance, 5s program/value steram mapping, shop floor control/one-piece flow, time workforce planning, supply chain management, capacity management and waste reduction techniques.
EMS6713
3
Criteria for manufacturing systems selection.Characteristics of manufacturing systems. High volume production systems. Detroit-type automation, analysis of automated flow lines, assembly system and line balancing, automated assembly systems. Numerical control production systems. Adaptive control. Industrial robots: technology programming and applications. Material handling and storage systems. Flexible manufacturing systems. Automated inspection. Factory of the future.
EMS6703
3
This course is developed to provide students with fundamentals of lean manufacturing, lean production preparation, System assessment, process value-stream mapping, sources of waste, lean production processes, workplace organization – 5S, stability, just-in-time, one piece flow, pull systems, cellular manufacturing systems, quick change and set-up reduction methods, total productive maintenance, poka-yoke, mistake proofing, continuous improvement, visual management, employee involvement, cross functional teams, involving people in the change process, importance of culture and sustaining improvement and change.
EIE5513
3
Computer-aided design/computer-aided manufacturing. Computerized manufacturing planning systems. Shop floor control and automatic identification techniques. Computer networks for manufacturing. The factory of the future.
EMS6303
3
Productivity perspectives, productivity measurement, diversity of measurements. Cause of productivity declines, barriers to productivity, fostering technology transfer. Managing productivity by objectives. Requirements for successful productivity programs. Productivity improvement approaches. Strategies for designing, development and implementing productivity management programs. Strategic planning for productivity management programs. Productivity improvement techniques. Setting up a formal productivity improvement program. Projects and case studies required.
EMS6503
3
Use Your Cell Phone as a Document Camera in Zoom
From Computer
Log in and start your Zoom session with participants
From Phone
To use your cell phone as a makeshift document camera