This course covers the basic service management functions of planning, organizing, leading, and controlling, as applied to project, team, knowledge, group/department and global settings. Discussion of the strengths and weaknesses of engineers as managers, and the engineering management challenges in the global economy will also be featured. Emphasis is placed on the integration of engineering technologies and management. Students will master the basic functions in engineering management, the roles and perspectives of engineering managers, and selected skills required to become effective engineering managers. 

Familiarizes students with the application of statistical quality problem-solving methodologies used to characterize, leverage, and reduce process variability. This course emphasizes the application of sampling methodologies, sample size determination, hypothesis testing, analysis of variance, correlation, regression, measurement systems analysis, design and analysis of saturated experimental designs, design and analysis response surface experimental designs, and statistical process control.

This course introduces students to technical communication practices and genres as they operate in different workplaces, focusing primarily on effective communications as well as information management required of engineers and engineering managers in industry, government, and business. Students master essential skills they need to select, organize, and design information, use easy-to-read language, write clearly and concisely, and adapt communication to peers, employers, clients, customers, and other audiences. The course also covers communication management that might be required in a technical leadership position in industry, government, and business in inter/cross-cultural and international technical communication contexts.

Familiarizes students with customer-focused, process and design six sigma quality management methods. This course emphasizes methodologies used in the identification and selection of high impact, customer-focused, quality improvement projects. Topics covered include leadership soft-skills, the mathematics behind six sigma metrics, project selection criterion, risk assessment, quality tools, and structured six-sigma problem-solving methodologies (DMAIC and DMADV).

Theories of accident causation. Development of a systems approach for collecting and analyzing accident data. Human reliability analysis and related techniques. Federal and state regulations and standards. Organization and management of a safety program in a company. Prevention of common safety hazards. Design of warnings and training.