Systems-Based Curriculum
Regardless of your engineering discipline, the ultimate goal of your engineering team is always to build a fully functional and reliable system. Quality systems are derived from quality management principles. Managers who understand and implement information systems engineering are able to effectively use technology to get the data they need to produce results. The final result is a system analyzed and confirmed by engineering statistics as a valid experiment and a successful system.
Follow this link to discover our other Engineering Management Courses.
Quality Systems
This course will focus on the concepts of total quality management including philosophies and frameworks of quality management, incorporating quality into strategic planning, leadership, process measurement and management, continuous quality improvement, and ISO 9000.
Original writings by major figures in the quality movement, such as Deming, Juran, Taguchi, etc., will be discussed.
Information Systems Engineering
This course introduces students to information systems within and across organizations. Information systems provide a primary source of information for management. Students will also learn about the phases of design and implementation of information systems, as well as methods for keeping abreast of the fast paced change in the IT world.
Principal Instructor: David Koonce, Ph.D. Associate Professor
Engineering Statistics
This course is intended to prepare engineering management students to design statistically valid experiments and to analyze the results of those experiments. Topics will include basic probability theory, confidence, hypothesis testing, regression, and analysis of variance.
Principal Instructor: Diana Schwerha, Assistant Professor