Algorithms & Data Structures: The Science of Computing by Douglas Baldwin and Greg Scragg takes a step back to introduce and explore algorithms and the content material of the code. Focusing on three core topics: design (the architecture of algorithms), idea (mathematical modeling and analysis), and the scientific method (experimental confirmation of theoretical results), the book helps college students see that computer science is about drawback solving, not merely the memorization and recitation of languages.
Unlike many other texts, the methods of inquiry are defined in an integrated manner so students can see explicitly how they interact. Recursion and object oriented programming are emphasized as the main control construction and abstraction mechanism, respectively, in algorithm design. Designed for the CS2 course, the book includes text workouts and has laboratory exercises on the supplemental Internet site.
This book reflects the principle that computer science is not solely about studying the best way to converse in programming languages. It covers recursion, binary timber, stacks, queues, hash tables, and object-oriented algorithms. Written especially for CS2 college students, accompanying Net site contains lab exercises, code, and instructor's notes, and more.
Douglas Baldwin (Honeoye Falls, NY) is an Associate Professor of Computer Science at SUNY Geneseo. A graduate of Yale University, he has taught courses from CS1 to Compiler Construction, and from Networking to Theory of Programming Languages. He has authored many journal articles and conference papers within the field.
Greg Scragg is Professor Emeritus from SUNY Geneseo with over thirty years experience in computer science. Since his graduation from the University of California, he has received several grants related to computer science education and has written over 60 articles for computer science journals.
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