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Exploring Computer Science with Scheme

Exploring Computer Science with Scheme
Author: Oliver Grillmeyer
Publisher: Springer Science & Business Media
Total Pages: 603
Release: 2013-04-17
Genre: Computers
ISBN: 1475729375

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A presentation of the central and basic concepts, techniques, and tools of computer science, with the emphasis on presenting a problem-solving approach and on providing a survey of all of the most important topics covered in degree programmes. Scheme is used throughout as the programming language and the author stresses a functional programming approach to create simple functions so as to obtain the desired programming goal. Such simple functions are easily tested individually, which greatly helps in producing programs that work correctly first time. Throughout, the author aids to writing programs, and makes liberal use of boxes with "Mistakes to Avoid." Programming examples include: * abstracting a problem; * creating pseudo code as an intermediate solution; * top-down and bottom-up design; * building procedural and data abstractions; * writing progams in modules which are easily testable. Numerous exercises help readers test their understanding of the material and develop ideas in greater depth, making this an ideal first course for all students coming to computer science for the first time.


Discovering Computer Science

Discovering Computer Science
Author: Jessen Havill
Publisher: CRC Press
Total Pages: 522
Release: 2020-10-12
Genre: Computers
ISBN: 1000218481

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"Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds." -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College "This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape." -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University "Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field." -- James Deverick, Senior Lecturer, The College of William and Mary "This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs." -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration.


Simply Scheme

Simply Scheme
Author: Brian Harvey
Publisher: MIT Press (MA)
Total Pages: 583
Release: 1993-12-01
Genre: Computer science
ISBN: 9780262581325

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An introductory level text for students who are not majoring in computer science, as well as for computer science majors with no prior programming experience. This text teaches computer science from a functional and symbolic point of view. It provides a solid platform from which students can go on to study the seminal work Structure and Interpretation of Computer Programs.


Simply Scheme

Simply Scheme
Author: Brian Harvey
Publisher: MIT Press
Total Pages: 620
Release: 1999
Genre: Computers
ISBN: 9780262082815

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Showing off scheme - Functions - Expressions - Defining your own procedures - Words and sentences - True and false - Variables - Higher-order functions - Lambda - Introduction to recursion - The leap of faith - How recursion works - Common patterns in recursive procedures - Advanced recursion - Example : the functions program - Files - Vectors - Example : a spreadsheet program - Implementing the spreadsheet program - What's next?


Simply Scheme

Simply Scheme
Author: Brian Harvey
Publisher: MIT Press (MA)
Total Pages: 583
Release: 1994
Genre: Computer science
ISBN: 9780262082266

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This lively introduction to computer science and computer programming inScheme is for non-computer science majors with a strong interest in the subject andfor computer science majors who lack prior programming experience. The text allowsthe student to experience the computer as a tool for expressing ideas, not as afrustrating set of mathematical obstacles. This goal is supported by the use ofScheme, a modern dialect of Lisp, designed to emphasize symbolicprogramming.


The Scheme Programming Language

The Scheme Programming Language
Author: R. Kent Dybvig
Publisher: MIT Press
Total Pages: 318
Release: 2003
Genre: Computers
ISBN: 9780262541480

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The thoroughly updated third edition of a popular introductory and reference text for standard Scheme, with examples and exercises.


What Is Computer Science?

What Is Computer Science?
Author: Daniel Page
Publisher: Springer Science & Business Media
Total Pages: 244
Release: 2013-12-31
Genre: Computers
ISBN: 3319040421

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This engaging and accessible text addresses the fundamental question: What Is Computer Science? The book showcases a set of representative concepts broadly connected by the theme of information security, for which the presentation of each topic can be treated as a "mini" lecture course, demonstrating how it allows us to solve real problems, as well as how it relates to other subjects. The discussions are further supported by numerous examples and practical hands-on exercises. Features: presents a concise introduction to the study of algorithms and describes how computers work; introduces the concepts of data compression, and error detection and correction; highlights the role of data structures; explores the topic of web-search; reviews both historic and modern cryptographic schemes, examines how a physical system can leak information and discusses the idea of randomness; investigates the science of steganography; provides additional supplementary material at an associated website.


Scheme and the Art of Programming

Scheme and the Art of Programming
Author: George Springer
Publisher: Mit Press
Total Pages: 617
Release: 1989-01
Genre: Computers
ISBN: 9780262691369

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Scheme is the fast track to getting started in programming. Its clear semantics, simple syntax, and interactive environment enable the beginning student to write sophisticated programs after just two brief chapters. As a first introduction to programming, it is an ideal vehicle for learning to reason correctly about computation. Starting from a few fundamental concepts and principles - procedural and syntactic abstractions, recursion, iteration, state, and control - Springer and Friedman develop the ideas and techniques of programming. They include both traditional topics such as numeric and symbolic computation, and also cover current issues such as streams, object-oriented programming and continuations for abstracting control. The presentation is designed for the introductory college student It is more sophisticated and complete than The Little LISPer, but not as advanced as Structure and Interpretation of Computer Programs. Springer and Freidman provide a solid introduction to data abstraction by presenting topics such as list strings, vectors, matrices, sets, relations, and functions. Among the examples used to illustrate object oriented programming are stacks, queues, circular lists, hash tables, and a gas station simulation. George Springer is Professor of Mathematics and Computer Science and Daniel P. Friedman is Professor of Computer Science. Both are at Indiana University, one of the centers for research and development of Scheme.


Introducing Computer Science

Introducing Computer Science
Author: George Bowlin
Publisher: Createspace Independent Publishing Platform
Total Pages: 434
Release: 2017-08-14
Genre:
ISBN: 9781981412990

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This goal is supported by the use of Scheme, a modern dialect of Lisp, designed to emphasize symbolic programming.This lively introduction to computer science and computer programming in Scheme is for non-computer science majors with a strong interest in the subject and for computer science majors who lack prior programming experience. The text allows the student to experience the computer as a tool for expressing ideas, not as a frustrating set of mathematical obstacles.


Essential Computational Thinking

Essential Computational Thinking
Author: Ricky J. Sethi
Publisher: Cognella Academic Publishing
Total Pages:
Release: 2020-06-17
Genre:
ISBN: 9781516583225

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Essential Computational Thinking: Computer Science from Scratch helps students build a theoretical and practical foundation for learning computer science. Rooted in fundamental science, this text defines elementary ideas including data and information, quantifies these ideas mathematically, and, through key concepts in physics and computation, demonstrates the relationship between computer science and the universe itself. In Part I, students explore the theoretical underpinnings of computer science in a wide-ranging manner. Readers receive a robust overview of essential computational theories and programming ideas, as well as topics that examine the mathematical and physical foundations of computer science. Part 2 presents the basics of computation and underscores programming as an invaluable tool in the discipline. Students can apply their newfound knowledge and begin writing substantial programs immediately. Finally, Part 3 explores more sophisticated computational ideas, including object-oriented programing, databases, data science, and some of the underlying principles of machine learning. Essential Computational Thinking is an ideal text for a firmly technical CS0 course in computer science. It is also a valuable resource for highly-motivated non-computer science majors at the undergraduate or graduate level who are interested in learning more about the discipline for either professional or personal development.