Description
Book Synopsis: Learn about probability as it is used in computer science with this rigorous, yet highly accessible, undergraduate textbook. Fundamental probability concepts are explained in depth, prerequisite mathematics is summarized, and a wide range of computer science applications is described. Throughout, the material is presented in a “question and answer” style designed to encourage student engagement and understanding. Replete with almost 400 exercises, real-world computer science examples, and covering a wide range of topics from simulation with computer science workloads, to statistical inference, to randomized algorithms, to Markov models and queues, this interactive text is an invaluable learning tool whether your course covers probability with statistics, with stochastic processes, with randomized algorithms, or with simulation. The teaching package includes solutions, lecture slides, and lecture notes for students.
Details
Looking to boost your understanding of probability in the context of computer science? Look no further than our comprehensive undergraduate textbook, Introduction to Probability for Computing. This highly accessible book dives deep into fundamental probability concepts, summarizing prerequisite mathematics and exploring a diverse range of computer science applications. Whether you're studying probability with statistics, stochastic processes, randomized algorithms, or simulation, this engaging "question and answer" style text is the perfect resource to enhance your knowledge.
One of the standout features of Introduction to Probability for Computing is its interactive nature. With nearly 400 exercises, you'll have ample opportunities to test your understanding and solidify your grasp on even the most complex topics. Real-world computer science examples are sprinkled throughout the text, showcasing the practical applications of probability in various scenarios.
As a student, having access to comprehensive teaching materials can make all the difference. That's why our teaching package includes solutions, lecture slides, and lecture notes to support your learning journey. With these resources at your disposal, you'll be well-equipped to excel in your probability course and beyond.
Don't miss out on the opportunity to gain a deep understanding of probability as applied to computer science. Take your learning to the next level with Introduction to Probability for Computing. Click here to explore the book and unlock a world of knowledge!
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