Download Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming (Chapman & Hall/CRC Textbooks in Computing)

Download Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming (Chapman & Hall/CRC Textbooks in Computing)

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Review

"Havill’s book introduces computer science in a very unique and effective way. The book discusses fundamental computer science concepts such as abstraction, repetition, condition, and recursion through real-world problems such as personal finance, population growth, DNA sequence, and earthquake analysis. The book is designed for a CS 1 course for majors, a CS 0 course for nonmajors with omissions, or a basic computing course for natural or social sciences students. Traditional introductory computer science content is well covered, though in a different way compared to most other introductory books. Most other introductory CS books would arrange the topics either around features of programming such as objects, variables, repetitions, conditions, and functions, or around data structures or algorithms such as list, array, graph, search, and sorting. Havill’s book presents readers with the same content using topics of real-world problems as a road map. ... For each problem studied, the author provides ample details in fine language so students can follow the discussions easily. Plenty of "Reflections" are presented throughout the discussions that inspire students to think deeper and synthesize what they just learned. ... The book is best suited for computer science majors, or students from natural sciences or social sciences. It requires a certain level of maturity with mathematics. With careful choices of omission by the instructor, students of other majors can definitely benefit from the book as well, as the author points out in the preface."―ACM Computing Reviews, February 3, 2016

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About the Author

Jessen Havill is a professor of computer science and the Benjamin Barney Chair of Mathematics at Denison University, where he has been on the faculty since 1998. Dr. Havill teaches courses across the computer science curriculum, as well as an interdisciplinary elective in computational biology. He was awarded the college's highest teaching honor, the Charles A. Brickman Teaching Excellence Award, in 2013.Dr. Havill is also an active researcher, with a primary interest in the development and analysis of online algorithms. In addition, he has collaborated with colleagues in biology and geosciences to develop computational tools to support research and teaching in those fields. Dr. Havill earned his bachelor's degree from Bucknell University and his Ph.D. in computer science from The College of William and Mary.

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Product details

Series: Chapman & Hall/CRC Textbooks in Computing (Book 15)

Paperback: 750 pages

Publisher: Chapman and Hall/CRC; 1 edition (July 10, 2015)

Language: English

ISBN-10: 9781482254143

ISBN-13: 978-1482254143

ASIN: 148225414X

Product Dimensions:

7 x 10 inches

Shipping Weight: 12.6 ounces (View shipping rates and policies)

Average Customer Review:

4.4 out of 5 stars

8 customer reviews

Amazon Best Sellers Rank:

#833,215 in Books (See Top 100 in Books)

Very well written and understandable. Highly recommend the Bookshelf app - you can get access to the ebook on an iPhone, search for words or chapters, and have it read the book to you! Clearly the author knows comp sci :)

If you want a smooth ramp into a complex subject like Computer Science, this is it. This should be on every programmer's shelves.

I dislike how there is no way to check the solutions.

This book is incredibly easy to follow when compared to other computer science textbooks, and is written in a style that is both entertaining and engaging. The book is arranged according to a progression of computational concepts rather than as a manual of the Python language, and emphasizes development of problem-solving skills over memorization of methods and function. The book also boasts a massive number of exercises and projects of varying difficulty levels, to cumulatively apply the concepts that have been taught over the course of the book. All in all, one of the best computer science textbooks out on the market.

My introductory CS class used this book and it was a good choice for sure. The book explained things clearly and the programming assignments were well designed. Python is a good choice for a first language. Would recommend!

I took an intro computer science course this past fall that used this textbook. The textbook organized concepts in a logical sequence, and chapters were very readable. End of chapter exercises were varied and fun

The book was very well organized and the lessons and exercises built on one another very well. The projects inside the books were also extremely interesting and fun, and covered a wide range of disciplines. The concepts were presented very clearly throughout the book.

This book was extremely easy to follow, which made learning computer science a lot easier. The chapters all linked together really well, and the projects were challenging yet doable. Overall, one of the best text books I have used in a science class.

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