Successful engineering project management includes estimation and proactive risk identification and development of mitigation techniques. System uncertainty is reduced when project risks are identified, quantified, and mitigation strategies implemented. Tools, techniques, and methodologies used by successful project managers will be examined.
Students registering for the 702 section are expected to attend the class in person at United Launch Alliance, 7630 S Chester Street in Centennial CO (South Denver) unless other arrangements are made with the instructor. The online section can be accessed synchronously or asynchronously. Synchronous means you can log on live and participate in the class as it is occurring on campus, but participation in this format is not mandatory. Asynchronous means you can access the video recording of the class sessions whenever it is convenient for you.
This course can be applied toward:
ECE 303/STAT 303 (Introduction to Communications Principles) or STAT 315 (Statistics for Engineers and Scientists). Credit not allowed for both ENGR 531 and ECE 531.
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email
email@example.com to learn more. Discounts are not applicable to Denver sections.
This class is available live via the Internet during the in-person course section time. If you are registered for the 801 section, log into your Canvas account to access the course; directions will be posted. You can also attend the class in person if you contact the instructor ahead of time.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- Risk Assessment: Tools, Techniques, and Their Applications (2012)
Ostrom and Wilhelmsen
Dr. Erika Miller is an assistant professor in the Mechanical Engineering Department and the Systems Engineering Program at Colorado State University. Her research focuses on driver behavior within transportation systems, the interaction of humans with autonomous systems, human-machine trust, the integration of human factors and automation within systems, and safety analysis. Her education and research background is in civil engineering, industrial & systems engineering, and transportation systems. Dr. Miller received her B.S. from Oregon State University and her M.S. and Ph.D. from the University of Washington.