This revised and updated first-course textbook in applied probability, ** Probability with Applications in Engineering, Science, and Technology, 2nd Edition**,

*(PDF)*offers a contemporary and lively post-calculus introduction to the subject of probability. The exposition shows a desirable balance between fundamental theory and many applications including a broad range of real problem scenarios. It is aimed to appeal to a wide audience, including statistics and mathematics majors, prospective scientists and engineers, and those social science and business majors interested in the quantitative features of their disciplines.

The textbook includes enough material for a year-long course, though many teachers will use it for a single term (one semester or one quarter). As such, three-course syllabi with extended course outlines are now available for download on the book’s page on the Springer website.

A one-term course would include material in the core chapters (1-4), accompanied by selections from one or more of the remaining chapters on statistical inference (Ch. 5), Markov chains (Ch. 6), stochastic processes (Ch. 7), and signal processing (Ch. 8—available solely online and specifically designed for computer and electrical engineers, making the ebook suitable for a one-term class on random signals and noise).

For a year-long course, main chapters (1-4) are available to those who have taken a year of univariate integral and differential calculus; matrix algebra, multivariate calculus, and engineering mathematics are required for the latter, more advanced chapters.

At the core of the textbook’s pedagogy are 1,100 applied exercises, ranging from straightforward to reasonably challenging, about 700 exercises in the first four “core” chapters alone—a self-contained textbook of problems introducing basic theoretical knowledge essential for solving problems and illustrating how to solve the problems at hand – in MATLAB and R, including code so that students can make simulations.

New to this * 2nd edition*:

- Redesigning of Section 7.7 on continuous-time Markov chains
- Extended and updated instructions and solutions to problem sets
- Supplementary materials involve three sample syllabi and updated solutions manuals for both instructors and students
- Revised and re-worked Recommended Coverage for instructors, detailing which courses should use the textbook and how to use different sections for various objectives and time constraints

**NOTE: The product only includes the ebook, Probability with Applications in Engineering, Science, and Technology, 2nd Edition, in PDF. No access codes are included.**

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