Introduction to Decision Analysis in Civil Engineering Design

Civil and environmental engineering projects require balancing complex safety, economic, and environmental trade-offs under deep uncertainty. This text-only course introduces you to the foundational principles of decision analysis, helping you navigate risk and make defensible design choices. You will learn how to systematically evaluate competing design alternatives and structure complex choices for real-world infrastructure systems. By completing this course, you will transition from intuitive guessing to using structured mathematical and logical frameworks to justify engineering decisions. You will gain the confidence to analyze project trade-offs, manage risks, and design systems that stand the test of time. What you'll learn: - Understand foundational concepts of probability, utility theory, and decision trees in engineering design - Analyze risk and uncertainty using modern probabilistic modeling techniques - Evaluate multi-objective trade-offs to balance cost, safety, and environmental impact - Apply sensitivity analysis to determine how critical variables affect design outcomes - Integrate modern sustainability and climate resilience metrics into infrastructure decisions - Master structured decision-making frameworks to communicate choices to diverse stakeholders This course begins with core definitions and the mathematical principles of risk, then guides you through structuring decision trees, evaluating multi-attribute utility, and applying these models to civil engineering case studies. Each concept is reinforced with written step-by-step calculations and practical design scenarios. This course is designed for beginner engineering students, early-career civil and environmental engineers, and project managers looking to build a structured approach to design choices. No prior background in decision theory is required, though a basic understanding of algebra is helpful. Start reading today to master the analytical tools needed to make smarter, safer, and more resilient engineering design decisions.