First Course In Probability For Computer And Data Science, A

The author of this undergraduate text emphasizes probabilistic and computational thinking, providing insights and motivating students to apply probability. It features worked examples, instructive problems, and problem-solving strategies, with answers to all problems and worked-out solutions to selected problems. Henk Tijms is a renowned author in applied probability and stochastic optimization.

Format: Paperback / softback
Length: 244 pages
Publication date: 18 July 2023
Publisher: World Scientific Publishing Co Pte Ltd

This comprehensive undergraduate text serves as a distilled guide to probabilistic concepts and methods in computer and data science. Rather than focusing solely on theorems and proofs, it emphasizes probabilistic and computational thinking, empowering students to develop a deeper understanding of probability. The book offers insights and motivation by explaining the underlying principles of probability and demonstrating how to apply them in various real-world scenarios.

One of the unique features of this text is its abundance of worked examples. Throughout the book, numerous instructive problems are presented, accompanied by problem-solving strategies. These problems not only reinforce the theoretical concepts but also encourage students to apply their knowledge and develop problem-solving skills. Additionally, several of the problems extend previously covered material, providing a comprehensive review of the subject matter.

To assist students in their learning journey, the book provides comprehensive answers to all problems and worked-out solutions to selected problems. This allows students to verify their understanding and gain a deeper grasp of the subject matter.

The author of this text, Henk Tijms, is a renowned expert in the field of applied probability and stochastic optimization. He has authored several textbooks in this area, which have received widespread recognition and acclaim. In 2008, he was honored with the prestigious INFORMS Expository Writing Award for his contributions to the field. Tijms is also known for his engaging probability puzzles, which were featured in The New York Times' former Numberplay column.

In conclusion, this undergraduate text is an invaluable resource for students seeking to develop a strong foundation in probabilistic concepts and methods. Its emphasis on computational thinking, worked examples, problem-solving strategies, and comprehensive solutions makes it an effective tool for learning and understanding probability in computer and data science. Whether you are a student, professional, or enthusiast, this book will provide you with the knowledge and skills necessary to excel in this field.

ISBN-13: 9789811272042