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Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming (Chapman & Hall/CRC Textbooks in Computing)
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Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming introduces computational problem solving as a vehicle of discovery in a wide variety of disciplines. With a principles-oriented introduction to computational thinking, the text provides a broader and deeper introduction to computer science than typical introductory programming books.
Organized around interdisciplinary problem domains, rather than programming language features, each chapter guides students through increasingly sophisticated algorithmic and programming techniques. The author uses a spiral approach to introduce Python language features in increasingly complex contexts as the book progresses.
The text places programming in the context of fundamental computer science principles, such as abstraction, efficiency, and algorithmic techniques, and offers overviews of fundamental topics that are traditionally put off until later courses.
The book includes thirty well-developed independent projects that encourage students to explore questions across disciplinary boundaries. Each is motivated by a problem that students can investigate by developing algorithms and implementing them as Python programs.
The book's accompanying website — http://discoverCS.denison.edu — includes sample code and data files, pointers for further exploration, errata, and links to Python language references.
Containing over 600 homework exercises and over 300 integrated reflection questions, this textbook is appropriate for a first computer science course for computer science majors, an introductory scientific computing course or, at a slower pace, any introductory computer science course.
- Sales Rank: #252929 in eBooks
- Published on: 2016-07-06
- Released on: 2016-07-06
- Format: Kindle eBook
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
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.
Most helpful customer reviews
1 of 1 people found the following review helpful.
Engaging, entertaining, enlightening
By Alex
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.
1 of 1 people found the following review helpful.
Comprehensive and Well-Written Textbook
By Rebecca
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
1 of 1 people found the following review helpful.
... you want a smooth ramp into a complex subject like Computer Science
By Jayme
If you want a smooth ramp into a complex subject like Computer Science, this is it. This should be on every programmer's shelves.
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