Probabilistic modeling of engineering problems under uncertainty helps students understand probability models and formulate engineering problems containing uncertainty.

Illustrates the formulation and solution of engineering-type probabilistic problems through computer-based methods; including developing needed computer codes using commercial software such as MATLAB and MATHCAD.

Detailed examples and numerical illustrations help instructors explain the concept of aleatory and epistemic uncertainties.

Introduces and develops the analytical probabilistic models; also for formulating engineering problems under uncertainty.

Mathematical concepts are expounded through numerous numerical examples pertinent to engineering and the physical sciences.

Provides students a wide variety of examples to learn the specific mathematical concepts elucidated through each example problem.

A large number of exercise problems provide the instructor a wide variety of engineering-oriented problems to select for homework and examinations.

Although the illustrative examples and exercise problems pertain largely to civil and environmental engineering, the basic principles expounded in the book are equally applicable to other disciplines in engineering. Some of the examples and problems may also be pertinent, and equally easily understood by undergraduates, in these other disciplines.