ENGR 531 - Engineering Risk Analysis

  • 3 credits

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


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.

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

Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.


  • Risk Assessment: Tools, Techniques, and Their Applications (2019)
    Ostrom and Wilhelmsen
    ISBN: 9781119483465


Ann Batchelor

(970) 491-6034 | Ann.Batchelor@colostate.edu

Ann H. Batchelor, Assistant Director of Colorado State University College of Engineering, Systems Engineering, has extensive industrial experience in technical management, production, manufacturing, lean engineering, life cycle management, test and analysis, systems engineering, and transitioning technology into manufacturing. Experience includes 25 years in technical product engineering, management and business development in the defense industry and Georgia Technical Institute, holding positions as senior scientist, chief scientist, systems engineer, Director of Engineering, Director of Program Management and VP Marketing and Product Development, She is a Military Sensing Fellow (DOD Informational and Analysis Center for Military Sensing), CSU adjunct for the College of Engineering on program management, lecturer on risk and opportunity management courses, and a current and active member of International Council on Systems Engineering (INCOSE) and Project Management Institute.

Learn more at: http://www.engr.colostate.edu/se/ann-batchelor/

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