Engineering Probability and Statistics through Problem Solving

Engineering decisions always involve uncertainty, from estimating extreme weather events to analyzing structural material strength. This text-based course provides a structured introduction to probability and statistics, specifically tailored for engineering applications. You will learn how to model random variables, analyze datasets, and make informed decisions under uncertainty. By working through clear explanations and structured engineering problems, you will develop the analytical skills required to evaluate risks and design safer systems. What you will learn: Understand core probability concepts, sample spaces, and conditional probability. Analyze discrete and continuous random variables and their distributions. Apply statistical estimation techniques to civil and environmental engineering datasets. Evaluate engineering risks using hypothesis testing and confidence intervals. Model uncertainty in engineering design using regression analysis and modern simulation concepts. This comprehensive written course begins with essential terminology and fundamental mathematical principles before guiding you through practical engineering scenarios and problem-solving exercises. This course is designed for engineering students and practicing professionals who want a solid, beginner-friendly foundation in statistical analysis without any prior advanced statistics background. Start building your engineering analysis skills today.