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.
This class is offered online in a webinar-style format, and 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 towards:
ECE 303/STAT 303 (Introduction to Communications Principles) or STAT 315 (Statistics for Engineers and Scientists); ECE/ENGR 501 or concurrent enrollment. 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 firstname.lastname@example.org to learn more.
This class is available live via the Internet on Mondays from 5:20 - 8:10 p.m. Mountain Time. If you are registered in the online section, log into your RamCT account to access the course; directions will be posted. You can also attend the class in the Clark Bldg, Room A206.
Textbook and Materials
Edwin K P Chong
Edwin K. P. Chong was born in Kuala Lumpur, Malaysia. He received his B.E. from the University of Adelaide, South Australia, graduating top of his class in the Department of Electrical and Electronic Engineering; and M.A. and Ph.D. degrees from Princeton University where he held an IBM Graduate Fellowship.
He is currently a Professor in the Department of Electrical and Computer Engineering and in the Department of Mathematics at Colorado State University. Professor Chong's research interests are primarily in the areas of control, optimization, and modeling, with applications to computer/communication networks and wireless systems.