Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments

Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 253
Release: 2018-04-28
Genre: Education
ISBN: 0309467020
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The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation.

Structure and Interpretation of Computer Programs

Structure and Interpretation of Computer Programs
Author: Harold Abelson
Publisher: MIT Press
Total Pages: 642
Release: 2022-05-03
Genre: Computers
ISBN: 0262367629
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A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website.

Introduction to Computation and Programming Using Python, second edition

Introduction to Computation and Programming Using Python, second edition
Author: John V. Guttag
Publisher: MIT Press
Total Pages: 466
Release: 2016-08-12
Genre: Computers
ISBN: 0262529629
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The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

Foundations of Computer Science

Foundations of Computer Science
Author: Alfred V. Aho
Publisher: W. H. Freeman
Total Pages: 786
Release: 1994-10-15
Genre: Computers
ISBN: 9780716782841
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Principles of Computer System Design

Principles of Computer System Design
Author: Jerome H. Saltzer
Publisher: Morgan Kaufmann
Total Pages: 561
Release: 2009-05-21
Genre: Computers
ISBN: 0080959423
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Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture. Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs. The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. Concepts of computer system design guided by fundamental principles Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) Numerous pseudocode fragments that provide concrete examples of abstract concepts Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects

Introduction to Computer Science Using C++

Introduction to Computer Science Using C++
Author: Todd Knowlton
Publisher: Thomson South-Western
Total Pages: 0
Release: 1997
Genre: C++ (Computer program language)
ISBN: 9780538676014
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This non-software specific textbook helps prepare students for the Advanced Placement Test for the C++ Exam A. The many hands-on exercises throughout the book provide immediate reinforcement of the concepts learned.

Computer Engineering for Babies

Computer Engineering for Babies
Author: Chase Roberts
Publisher:
Total Pages: 0
Release: 2021-10-20
Genre:
ISBN: 9781735208701
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An introduction to computer engineering for babies. Learn basic logic gates with hands on examples of buttons and an output LED.

Princeton Review AP Computer Science A Prep, 2022

Princeton Review AP Computer Science A Prep, 2022
Author: The Princeton Review
Publisher: Princeton Review
Total Pages: 433
Release: 2021-08-31
Genre: Study Aids
ISBN: 0525570594
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Make sure you’re studying with the most up-to-date prep materials! Look for the newest edition of this title, The Princeton Review AP Computer Science A Prep, 2023 (ISBN: 9780593450727, on-sale September 2020). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product.

Computer Science

Computer Science
Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
Total Pages: 2172
Release: 2016-06-17
Genre: Computers
ISBN: 0134076451
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Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831

Introduction to Computer Science with C++

Introduction to Computer Science with C++
Author: Kenneth A. Lambert
Publisher: Course Technology
Total Pages: 1008
Release: 1997
Genre: C++ (Computer program language)
ISBN:
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Developed from the model used successfully in the Naps and Nance full-year texts in Pascal, this book combines Lambert and Nance's Understanding Programming and Problem Solving with C++ and Lambert and Naps's Understanding Program Design and Data Structures with C++ into a single CS1/CS2 text. Hence, Introduction to Computer Science with C++ solves the problem of where to begin CS2 that can occur when C++ is the teaching language. It also saves students money -- they don't have to buy two separate texts. This full-year introduction to CS1/CS2 features a gradual approach that covers problem solving and algorithm development while giving students a solid grounding in objects and classes. Throughout the book, a highly structured approach to programming produces programs that are easy to read, debug, and modify. Examples are carefully developed using pseudocode, structure charts, and module specifications. Programming Problems and Projects at the end of each chapter feature numerous programming assignments. They reflect a variety of areas (business, math, etc.) and ask students to build on programs written for earlier chapters, and to practice their communication skills.