Discovering Computer Science : Interdisciplinary Problems, Principles, and Python Programming

Havill, Jessen

ISBN 10: 148225414X / ISBN 13: 9781482254143

Published by Chapman and Hall/CRC, 2015

About this Item

Unread book in perfect condition. Seller Inventory # 23735740

Bibliographic Details

Title: Discovering Computer Science : ...

Publisher: Chapman and Hall/CRC

Publication Date: 2015

Binding: Soft cover

Condition: As New

About this title

Synopsis:

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.

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.