This course will cover the areas of basic descriptive and inferential statistics, the use and management of information, decision tools and concepts, and quality control.
Basic principles and practices of financial management in corporate decision making, including problem solving techniques.
Examines processes of customer value creation (e.g., product development, communications, distribution) and value capture (e.g. pricing).
Current topics covering a variety of relevant business issues and industry trends.
The Foundations of Systems Engineering course is an introductory overview of the systems engineering perspective and is presented to set the conceptual and practical framework of the entire systems engineering graduate program. The course covers the foundational components of systems engineering, from the concept development stage through the process steps of engineering development. Several issues related to post-development and special topics areas are presented.
Engineering program management fundamentals, program planning and control strategies, risk assessment, work breakdown structures and costing options.
ENGR 567 – Systems Engineering Architecture
Observation/classification of systems architecture. Systems architecture principles and critical evaluation through design studies.
- Student shall understand basic project management fundamentals that include Work Breakdown Structure, Earned Value Analysis, assessment of project risk, and budgeting
- Student shall understand the scheduling techniques that take into account human resources, supply chain logistics including US verses foreign suppliers, and budget implications and budget/funding timing
- Student shall understand Total Quality Management (TQM)
- Student shall identify problems and be able to apply root cause analysis techniques
- Students shall be able to understand the tradeoffs of Cost-Schedule-Performance
MECH 503 – Engineering Maintenance Process
Course will explore the design for, development and management of effective maintenance programs applicable to typical industrial environments. Learning outcomes for this course include:
- The student will be familiar with the need and benefit derived from effective maintenance programs
- The student will be able to develop a maintenance organization structure based on business modeling and economic analysis of investment alternatives
- The student will be knowledgeable of technologies applicable to maintenance program execution
- The student will be familiar with fundamental statistical tools employed to determine maintenance scheduling and programming
- The student will be aware of logistics and supply chain concepts critical to maintenance planning and execution
- The student will recognize critical attributes inherent to effective design for maintainability
MECH 504 – Specification and Procurement of Engineering Systems
Introduction to specification and procurement of engineering systems, including contracts, legal, ethics, and requirements/SOW development. This course will have significant government procurement topics including ITAR and export control, ethics, and quality. Learning outcomes include:
- Student shall have knowledge of the procurement process, types and applications of contracts, basic contract law and regulations
- Student shall understand Funding sources and relationship to types of contracts
- Student shall understand ethical, legal and professional responsibilities relative to the procurement process
- Student shall develop a basic understanding of ITAR, export control and intellectual property law
- Student shall understand requirements definition and identification
- Student shall understand critical parameters and specification/SOW development, and their impacts on cost and schedule
- Student shall understand the contract implications of Quality
Models to predict time to failure of mechanical or electronic devices, reliability data analysis and case studies. Specific objectives include:
- Gain an introduction to the probabilistic and statistical methods used by engineers in order to gain a competitive edge in industry by improving reliability
- Be able to apply methods to product as well as process reliability
- Learn how the mathematical models and results apply to engineering design and the analysis of lifetime data sets within applications drawn from a variety of disciplines
You will learn SIGMA for Windows, a powerful event graph logic oriented simulation language. SIGMA is easily learned and reveals the fundamental underlying structure and workings of other simulation languages. The SIGMA simulation language will enable you to accomplish simulation studies in a matter of hours, rather than spending days using a commercial simulation language.
You will also learn an additional entity flow oriented simulation language such as ARENA or ProModel. You will learn to build simulations of many common systems, including sequential manufacturing operations, service operations, assembly operations, and machine breakdown and repair. You will also learn how to properly set up and conduct simulation experiments.