Engineers must constantly make decisions under uncertainty, from designing resilient structures to managing unpredictable environmental systems. This text-based course guides you through the foundational principles of probability and statistics specifically tailored for civil and environmental engineering applications. You will learn how to quantify risk and make informed design choices when complete data is unavailable. By working through realistic engineering scenarios, you will develop the analytical skills required to model uncertainty and evaluate system reliability with confidence. What you will learn: Understand core probability concepts, joint distributions, and conditional expectations; Apply conditional second moment analysis to estimate system performance and uncertainty; Model structural and environmental engineering variables using statistical distributions; Evaluate reliability and risk factors for engineering designs under uncertainty; Practice formulating and solving probabilistic engineering design problems. The course begins with essential terminology and foundational probability concepts before moving into advanced second-moment methods and practical engineering applications. This course is designed for engineering students and practicing professionals who are new to probabilistic design and want to build a solid analytical foundation. Start mastering engineering statistics to build safer, more resilient systems today.
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