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.
Course Objectives:
System uncertainty quantification, inherent in every endeavor, is reduced using risk analysis, risk attitudes, risk modeling, quantitative risk management, probabilities and impacts, and engineering tools.
Students successfully completing this course will be able to:
• Identify, analyze, quantify, and mitigate risks
• Apply tools, techniques, and methodologies to implement risk management
• Assess discrete and continuous probability events, commonly used probability distributions, and calculate functions of random variables
• Understand the use of Bayes' rule, Markov chains, fault tree analysis, decision programming
Prerequisite
ECE 303 (Introduction to Communications Principles) or STAT 303 (Introduction to Communications Principles) or STAT 315 (Statistics for Engineers and Scientists). Credit not allowed for both ENGR 531 and ECE 531
Important Information
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
csu_online_registration@mail.colostate.edu to learn more. Discounts are not applicable to Denver sections.
Textbooks and Materials
Section 801
Required
- Risk Assessment: Tools, Techniques, and Their Applications (2019)
Ostrom and Wilhelmsen
ISBN: 9781119483465
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
Instructors
Erika Miller
erika.miller@colostate.edu
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.
Learn more at: http://www.engr.colostate.edu/se/erika-miller/
