| computer science 61a berkeley: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 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. |
| computer science 61a berkeley: Simply Scheme Brian Harvey, Matthew Wright, 1999 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? |
| computer science 61a berkeley: Learning Python Mark Lutz, 2013-06-12 Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing |
| computer science 61a berkeley: Machine Learning and AI for Healthcare Arjun Panesar, 2019-02-04 Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings. |
| computer science 61a berkeley: Computer Science Robert Sedgewick, Kevin Wayne, 2016-06-17 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 |
| computer science 61a berkeley: Success Is in Your Sphere: Leverage the Power of Relationships to Achieve Your Business Goals Zvi Band, 2019-04-05 A proven step-by-step approach to leveraging the unique power of relationships to your best business advantage.Our professional relationships are the most important asset we have when it comes to growing our careers and our businesses. Most people think of this as “networking.” But in today’s hyperconnected market, the most cost-effective and high-return route to new, repeat, and referral business is through our existing networks, not through adding more social media “friends” and “connections.” This transformative guide from relationship marketing expert Zvi Band shows you how to deepen your personal connections to achieve your professional goals—using the CAPITAL strategy of relationship-building techniques:•Consistency: develop good habits to form stronger relationships •Aggregate: build a personal database of professional contacts•Prioritize: order your network based on who can help•Investigate: collect intelligence on the people who are most important to you•Timely Engagement: create a steady cadence in your outreach•Adding Value: offer more than a simple follow-up•Leverage: execute more effectivelyThe basic idea behind these powerful tools is simple: Effective relationship building is not about acquiring new contacts. It’s about strengthening your connections with the key people who will help you drive your business forward. Through a combination of personal research, best practices, and case studies, Band provides a prescriptive strategy you can customize and follow every day. You’ll find cost-effective, high-yield tools that can be implemented via social media and other digital platforms. You’ll discover the best-kept secrets of the most popular companies in the world—and time-saving techniques for achieving similar results with your own customers. Most important, you can make the most of what you already have: the simple human connections that make everything worthwhile.In business, as in life, it all comes down to the quality of your relationships. When the right people are on your side, Success Is in Your Sphere. |
| computer science 61a berkeley: Peak Anders Ericsson, Robert Pool, 2016-04-05 “This book is a breakthrough, a lyrical, powerful, science-based narrative that actually shows us how to get better (much better) at the things we care about.”—Seth Godin, author of Linchpin “Anyone who wants to get better at anything should read [Peak]. Rest assured that the book is not mere theory. Ericsson’s research focuses on the real world, and he explains in detail, with examples, how all of us can apply the principles of great performance in our work or in any other part of our lives.”—Fortune Anders Ericsson has made a career studying chess champions, violin virtuosos, star athletes, and memory mavens. Peak distills three decades of myth-shattering research into a powerful learning strategy that is fundamentally different from the way people traditionally think about acquiring new abilities. Whether you want to stand out at work, improve your athletic or musical performance, or help your child achieve academic goals, Ericsson’s revolutionary methods will show you how to improve at almost any skill that matters to you. “The science of excellence can be divided into two eras: before Ericsson and after Ericsson. His groundbreaking work, captured in this brilliantly useful book, provides us with a blueprint for achieving the most important and life-changing work possible: to become a little bit better each day.”—Dan Coyle, author of The Talent Code “Ericsson’s research has revolutionized how we think about human achievement. If everyone would take the lessons of this book to heart, it could truly change the world.”—Joshua Foer, author of Moonwalking with Einstein |
| computer science 61a berkeley: Python Workout Reuven M. Lerner, 2020-08-04 The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. Summary The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you’ll build programming skill and confidence. The thorough explanations help you lock in what you’ve learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess—one important skill at a time. About the book Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven Lerner guides you through a series of small projects, practicing the skills you need to tackle everyday tasks. You’ll appreciate the clear explanations of each technique, and you can watch Reuven solve each exercise in the accompanying videos. What's inside 50 hands-on exercises and solutions Coverage of all Python data types Dozens more bonus exercises for extra practice About the reader For readers with basic Python knowledge. About the author Reuven M. Lerner teaches Python and data science to companies around the world. Table of Contents 1 Numeric types 2 Strings 3 Lists and tuples 4 Dictionaries and sets 5 Files 6 Functions 7 Functional programming with comprehensions 8 Modules and packages 9 Objects 10 Iterators and generators |
| computer science 61a berkeley: Probability and Computing Michael Mitzenmacher, Eli Upfal, 2005-01-31 Randomization and probabilistic techniques play an important role in modern computer science, with applications ranging from combinatorial optimization and machine learning to communication networks and secure protocols. This 2005 textbook is designed to accompany a one- or two-semester course for advanced undergraduates or beginning graduate students in computer science and applied mathematics. It gives an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It assumes only an elementary background in discrete mathematics and gives a rigorous yet accessible treatment of the material, with numerous examples and applications. The first half of the book covers core material, including random sampling, expectations, Markov's inequality, Chevyshev's inequality, Chernoff bounds, the probabilistic method and Markov chains. The second half covers more advanced topics such as continuous probability, applications of limited independence, entropy, Markov chain Monte Carlo methods and balanced allocations. With its comprehensive selection of topics, along with many examples and exercises, this book is an indispensable teaching tool. |
| computer science 61a berkeley: Operating Systems Thomas Anderson, Michael Dahlin, 2014 Over the past two decades, there has been a huge amount of innovation in both the principles and practice of operating systems Over the same period, the core ideas in a modern operating system - protection, concurrency, virtualization, resource allocation, and reliable storage - have become widely applied throughout computer science. Whether you get a job at Facebook, Google, Microsoft, or any other leading-edge technology company, it is impossible to build resilient, secure, and flexible computer systems without the ability to apply operating systems concepts in a variety of settings. This book examines the both the principles and practice of modern operating systems, taking important, high-level concepts all the way down to the level of working code. Because operating systems concepts are among the most difficult in computer science, this top to bottom approach is the only way to really understand and master this important material. |
| computer science 61a berkeley: Program Arcade Games Paul Craven, 2015-12-31 Learn and use Python and PyGame to design and build cool arcade games. In Program Arcade Games: With Python and PyGame, Second Edition, Dr. Paul Vincent Craven teaches you how to create fun and simple quiz games; integrate and start using graphics; animate graphics; integrate and use game controllers; add sound and bit-mapped graphics; and build grid-based games. After reading and using this book, you'll be able to learn to program and build simple arcade game applications using one of today's most popular programming languages, Python. You can even deploy onto Steam and other Linux-based game systems as well as Android, one of today's most popular mobile and tablet platforms. You'll learn: How to create quiz games How to integrate and start using graphics How to animate graphics How to integrate and use game controllers How to add sound and bit-mapped graphics How to build grid-based games Audience“div>This book assumes no prior programming knowledge. |
| computer science 61a berkeley: Essentials of Programming Languages, third edition Daniel P. Friedman, Mitchell Wand, 2008-04-18 A new edition of a textbook that provides students with a deep, working understanding of the essential concepts of programming languages, completely revised, with significant new material. This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text uses interpreters (short programs that directly analyze an abstract representation of the program text) to express the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming languages using widely varying levels of abstraction, maintaining a clear connection between the high-level and low-level views. Exercises are a vital part of the text and are scattered throughout; the text explains the key concepts, and the exercises explore alternative designs and other issues. The complete Scheme code for all the interpreters and analyzers in the book can be found online through The MIT Press web site. For this new edition, each chapter has been revised and many new exercises have been added. Significant additions have been made to the text, including completely new chapters on modules and continuation-passing style. Essentials of Programming Languages can be used for both graduate and undergraduate courses, and for continuing education courses for programmers. |
| computer science 61a berkeley: The Craft of Scientific Presentations Michael Alley, 2006-05-17 This timely and hugely practical work provides a score of examples from contemporary and historical scientific presentations to show clearly what makes an oral presentation effective. It considers presentations made to persuade an audience to adopt some course of action (such as funding a proposal) as well as presentations made to communicate information, and it considers these from four perspectives: speech, structure, visual aids, and delivery. It also discusses computer-based projections and slide shows as well as overhead projections. In particular, it looks at ways of organizing graphics and text in projected images and of using layout and design to present the information efficiently and effectively. |
| computer science 61a berkeley: An Introduction to Programming Using Java Anthony J. Dos Reis, 2010-10-18 Ideal for the introductory programming course, An Introduction to Programming Using Java covers all recommended topics put forth by the ACM/IEEE curriculum guidelines in a concise format that is perfect for the one-term course. An integrated lab manual enhances the learning process by providing real-world, hands-on projects. This unique approach allows readers to test their understanding of the key material at hand. Sample exams urge readers to assess their progress through the course and are ideal study aids for in-class testing. The author's innovative, accessible approach engages and excites students on the capabilities of programming using Java! TuringsCraft CodeLab access is available for adopting professors. Custom CodeLab: CodeLab is a web-based interactive programming exercise service that has been customized to accompany this text. It provides numerous short exercises, each focused on a particular programming idea or language construct. The student types in code and the system immediately judges its correctness, offering hints when the submission is incorrect. See CodeLab in action! A Jones & Bartlett Learning demonstration site is available online at jblearning.turingscraft.com. Look to the Samples and Additional Resources section below to review sample chapters! Key Features: • Covers all recommended topics put forth by the ACM/IEEE curriculum guidelines in a concise format that is perfect for the one-term course. • An integrated lab manual enhances the learning process with hands-on projects. • Uses a computer in lab exercises to teach students some of the finer points of Java • Introduces Objects early (Ch.1) • Explains abstract classes and interfaces in the context of generic programming. With this approach, students quickly grasp the conceptual and technical aspects of these constructs. |
| computer science 61a berkeley: Mathematics for Computer Science Eric Lehman, F. Thomson Leighton, Albert R. Meyer, 2017-03-08 This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions. |
| computer science 61a berkeley: Principles of Data Science Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau, 2020-07-08 This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice |
| computer science 61a berkeley: Data Structures and Algorithms in Java Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser, 2014-01-28 The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser's approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures. For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.datastructures. This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework. |
| computer science 61a berkeley: The Java Language Specification James Gosling, 2000 For nearly five years, one book has served as the definitive reference to Java for all serious developers: The Java Language Specification, by James Gosling, Bill Joy, and Guy Steele. Now, these world-renowned Java authorities (along with new co-author Gilad Bracha) have delivered a monumental update. This completely revised Second Edition covers the Java 2 Platform Standard Edition Version 1.3 with unprecedented depth and precision, offering the invaluable insights of Java's creators to every developer. There is no better source for learning everything about the Syntax and Semantics of the Java programming language. Developers will turn to this book again and again. |
| computer science 61a berkeley: How to Be a High School Superstar Cal Newport, 2010-07-27 Do Less, Live More, Get Accepted What if getting into your reach schools didn’t require four years of excessive A.P. classes, overwhelming activity schedules, and constant stress? In How to Be a High School Superstar, Cal Newport explores the world of relaxed superstars—students who scored spots at the nation’s top colleges by leading uncluttered, low stress, and authentic lives. Drawing from extensive interviews and cutting-edge science, Newport explains the surprising truths behind these superstars’ mixture of happiness and admissions success, including: · Why doing less is the foundation for becoming more impressive. · Why demonstrating passion is meaningless, but being interesting is crucial. · Why accomplishments that are hard to explain are better than accomplishments that are hard to do. These insights are accompanied by step-by-step instructions to help any student adopt the relaxed superstar lifestyle—proving that getting into college doesn’t have to be a chore to survive, but instead can be the reward for living a genuinely interesting life. |
| computer science 61a berkeley: Java in a Nutshell David Flanagan, 1997 Java in a Nutshell, Deluxe Editionis a Java programmer's dream come true in one small package. The heart of this Deluxe Edition is the Java Reference Library on CD-ROM, which brings together five volumes for Java developers and programmers, linking related info across books. It includes:Exploring Java, 2nd Edition,Java Language Reference, 2nd Edition,Java Fundamental Classes Reference,Java AWT Reference, andJava in a Nutshell, 2nd Edition, included both on the CD-ROM and in a companion desktop edition.Java in a Nutshell, Deluxe Editionis an indispensable resource for anyone doing serious programming with Java 1.1. The Java Reference Library alone is also available by subscription on the World Wide Web. Please seehttp://online-books.oreilly.com/books/javaref/for details. The electronic text on the Web and on the CD is fully searchable and includes a complete index to all five volumes. It also includes the sample code found in the printed volumes. Exploring Java, 2nd Editionintroduces the basics of Java 1.1 and offers a clear, systematic overview of the language. It covers the essentials of hot topics like Beans and RMI, as well as writing applets and other applications, such as networking programs, content and protocol handlers, and security managers. TheJava Language Reference, 2nd Editionis a complete reference that describes all aspects of the Java language, including syntax, object-oriented programming, exception handling, multithreaded programming, and differences between Java and C/C++. The second edition covers the new language features that have been added in Java 1.1, such as inner classes, class literals, and instance initializers. TheJava Fundamental Classes Referenceprovides complete reference documentation on the core Java 1.1 classes that comprise thejava.lang,java.io,java.net,java.util,java.text,java.math,java.lang.reflect, andjava.util.zippackages. These classes provide general-purpose functionality that is fundamental to every Java application. TheJava AWT Referenceprovides complete reference documentation on the Abstract Window Toolkit (AWT), a large collection of classes for building graphical user interfaces in Java. Java in a Nutshell, 2nd Edition, the bestselling book on Java and the one most often recommended on the Internet, is a complete quick-reference guide to Java, containing descriptions of all of the classes in the Java 1.1 core API, with a definitive listing of all methods and variables, with the exception of the still-evolving Enterprise APIs. These APIs will be covered in a future volume. Highlights of the library include: History and principles of Java How to integrate applets into the World Wide Web A detailed look into Java's style of object-oriented programming Detailed coverage of all the essential classes injava.lang,java.io,java.util,java.net,java.awt Using threads Network programming Content and protocol handling A detailed explanation of Java's image processing mechanisms Material on graphics primitives and rendering techniques Writing a security manager System requirements: The CD-ROM is readable on all Windows and UNIX platforms. Current implementations of the Java Virtual Machine for the Mac platform do not support the Java search applet in this CD-ROM. Mac users can purchase the World Wide Web version (seehttp://online-books.oreilly.com/books/javaref/for more information). A Web browser that supports HTML 3.2, Java, and JavaScript, such as Netscape 3.0 or Internet Explorer 3.0, is required. |
| computer science 61a berkeley: Computation Structures Stephen A. Ward, Robert H. Halstead, 1990 Computer Systems Organization -- general. |
| computer science 61a berkeley: Writing Portfolios in the Classroom Robert C. Calfee, Pamela Perfumo, 1996 First Published in 1996. Routledge is an imprint of Taylor & Francis, an informa company. |
| computer science 61a berkeley: Princeton Review AP Computer Science Principles Prep, 2022 The Princeton Review, 2021-08-03 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 Principles Prep, 2023 (ISBN: 9780593450734, on-sale August 2022). 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 61a berkeley: Understanding Virtual Reality William R. Sherman, Alan B. Craig, 2018-11-08 Understanding Virtual Reality: Interface, Application, and Design, Second Edition arrives at a time when the technologies behind virtual reality have advanced dramatically. The book helps users take advantage of the ways they can identify and prepare for the applications of VR in their field. By approaching VR as a communications medium, the authors have created a resource that will remain relevant even as underlying technologies evolve. Included are a history of VR, systems currently in use, the application of VR, and the many issues that arise in application design and implementation, including hardware requirements, system integration, interaction techniques and usability. - Features substantive, illuminating coverage designed for technical or business readers and the classroom - Examines VR's constituent technologies, drawn from visualization, representation, graphics, human-computer interaction and other fields - Provides (via a companion website) additional case studies, tutorials, instructional materials, and a link to an open-source VR programming system - Includes updated perception material and new sections on game engines, optical tracking, VR visual interface software, and a new glossary with pictures |
| computer science 61a berkeley: GRE Prep by Magoosh Magoosh, Chris Lele, Mike McGarry, 2016-12-07 Magoosh gives students everything they need to make studying a breeze. We've branched out from our online GRE prep program and free apps to bring you this GRE prep book. We know sometimes you don't have easy access to the Internet--or maybe you just like scribbling your notes in the margins of a page! Whatever your reason for picking up this book, we're thrilled to take this ride together. In these pages you'll find: --Tons of tips, FAQs, and GRE strategies to get you ready for the big test. --More than 130 verbal and quantitative practice questions with thorough explanations. --Stats for each practice question, including its difficulty rating and the percent of students who typically answer it correctly. We want you to know exactly how tough GRE questions tend to be so you'll know what to expect on test day. --A full-length practice test with an answer key and detailed explanations. --Multiple practice prompts for the analytical writing assessment section, with tips on how to grade each of your essays. If you're not already familiar with Magoosh online, here's what you need to know: --Our materials are top-notch--we've designed each of our practice questions based on careful analysis of millions of students' answers. --We really want to see you do your best. That's why we offer a score improvement guarantee to students who use the online premium Magoosh program. --20% of our students earn a top 10% score on the GRE. --Magoosh students score on average 12 points higher on the test than all other GRE takers. --We've helped more than 1.5 million students prepare for standardized tests online and with our mobile apps. So crack open this book, join us online at magoosh.com, and let's get you ready to rock the GRE! |
| computer science 61a berkeley: Python Crash Course Eric Matthes, 2015-11-01 Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course you’ll learn how to: –Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal –Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses –Work with data to generate interactive visualizations –Create and customize Web apps and deploy them safely online –Deal with mistakes and errors so you can solve your own programming problems If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3 |
| computer science 61a berkeley: Exercises for Programmers Brian P. Hogan, 2015-09-04 When you write software, you need to be at the top of your game. Great programmers practice to keep their skills sharp. Get sharp and stay sharp with more than fifty practice exercises rooted in real-world scenarios. If you're a new programmer, these challenges will help you learn what you need to break into the field, and if you're a seasoned pro, you can use these exercises to learn that hot new language for your next gig. One of the best ways to learn a programming language is to use it to solve problems. That's what this book is all about. Instead of questions rooted in theory, this book presents problems you'll encounter in everyday software development. These problems are designed for people learning their first programming language, and they also provide a learning path for experienced developers to learn a new language quickly. Start with simple input and output programs. Do some currency conversion and figure out how many months it takes to pay off a credit card. Calculate blood alcohol content and determine if it's safe to drive. Replace words in files and filter records, and use web services to display the weather, store data, and show how many people are in space right now. At the end you'll tackle a few larger programs that will help you bring everything together. Each problem includes constraints and challenges to push you further, but it's up to you to come up with the solutions. And next year, when you want to learn a new programming language or style of programming (perhaps OOP vs. functional), you can work through this book again, using new approaches to solve familiar problems. What You Need: You need access to a computer, a programming language reference, and the programming language you want to use. |
| computer science 61a berkeley: On Lisp Paul Graham, 1994 Written by a Lisp expert, this is the most comprehensive tutorial on the advanced features of Lisp for experienced programmers. It shows how to program in the bottom-up style that is ideal for Lisp programming, and includes a unique, practical collection of Lisp programming techniques that shows how to take advantage of the language's design for efficient programming in a wide variety of applications. |
| computer science 61a berkeley: Lisp in Small Pieces Christian Queinnec, 2003-12-04 This is a comprehensive account of the semantics and the implementation of the whole Lisp family of languages, namely Lisp, Scheme and related dialects. It describes 11 interpreters and 2 compilers, including very recent techniques of interpretation and compilation. The book is in two parts. The first starts from a simple evaluation function and enriches it with multiple name spaces, continuations and side-effects with commented variants, while at the same time the language used to define these features is reduced to a simple lambda-calculus. Denotational semantics is then naturally introduced. The second part focuses more on implementation techniques and discusses precompilation for fast interpretation: threaded code or bytecode; compilation towards C. Some extensions are also described such as dynamic evaluation, reflection, macros and objects. This will become the new standard reference for people wanting to know more about the Lisp family of languages: how they work, how they are implemented, what their variants are and why such variants exist. The full code is supplied (and also available over the Net). A large bibliography is given as well as a considerable number of exercises. Thus it may also be used by students to accompany second courses on Lisp or Scheme. |
| computer science 61a berkeley: Head First Java Kathy Sierra, Bert Bates, 2005-02-09 Learning a complex new language is no easy task especially when it s an object-oriented computer programming language like Java. You might think the problem is your brain. It seems to have a mind of its own, a mind that doesn't always want to take in the dry, technical stuff you're forced to study. The fact is your brain craves novelty. It's constantly searching, scanning, waiting for something unusual to happen. After all, that's the way it was built to help you stay alive. It takes all the routine, ordinary, dull stuff and filters it to the background so it won't interfere with your brain's real work--recording things that matter. How does your brain know what matters? It's like the creators of the Head First approach say, suppose you're out for a hike and a tiger jumps in front of you, what happens in your brain? Neurons fire. Emotions crank up. Chemicals surge. That's how your brain knows. And that's how your brain will learn Java. Head First Java combines puzzles, strong visuals, mysteries, and soul-searching interviews with famous Java objects to engage you in many different ways. It's fast, it's fun, and it's effective. And, despite its playful appearance, Head First Java is serious stuff: a complete introduction to object-oriented programming and Java. You'll learn everything from the fundamentals to advanced topics, including threads, network sockets, and distributed programming with RMI. And the new. second edition focuses on Java 5.0, the latest version of the Java language and development platform. Because Java 5.0 is a major update to the platform, with deep, code-level changes, even more careful study and implementation is required. So learning the Head First way is more important than ever. If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. You'll see why people say it's unlike any other Java book you've ever read. By exploiting how your brain works, Head First Java compresses the time it takes to learn and retain--complex information. Its unique approach not only shows you what you need to know about Java syntax, it teaches you to think like a Java programmer. If you want to be bored, buy some other book. But if you want to understand Java, this book's for you. |
| computer science 61a berkeley: Thinking Forth Leo Brodie, 2004 Thinking Forth applies a philosophy of problem solving and programming style to the unique programming language Forth. Published first in 1984, it could be among the timeless classics of computer books, such as Fred Brooks' The Mythical Man-Month and Donald Knuth's The Art of Computer Programming. Many software engineering principles discussed here have been rediscovered in eXtreme Programming, including (re)factoring, modularity, bottom-up and incremental design. Here you'll find all of those and more, such as the value of analysis and design, described in Leo Brodie's down-to-earth, humorous style, with illustrations, code examples, practical real life applications, illustrative cartoons, and interviews with Forth's inventor, Charles H. Moore as well as other Forth thinkers. |
| computer science 61a berkeley: Real World OCaml Yaron Minsky, Anil Madhavapeddy, Jason Hickey, 2013-11-04 This fast-moving tutorial introduces you to OCaml, an industrial-strength programming language designed for expressiveness, safety, and speed. Through the book’s many examples, you’ll quickly learn how OCaml stands out as a tool for writing fast, succinct, and readable systems code. Real World OCaml takes you through the concepts of the language at a brisk pace, and then helps you explore the tools and techniques that make OCaml an effective and practical tool. In the book’s third section, you’ll delve deep into the details of the compiler toolchain and OCaml’s simple and efficient runtime system. Learn the foundations of the language, such as higher-order functions, algebraic data types, and modules Explore advanced features such as functors, first-class modules, and objects Leverage Core, a comprehensive general-purpose standard library for OCaml Design effective and reusable libraries, making the most of OCaml’s approach to abstraction and modularity Tackle practical programming problems from command-line parsing to asynchronous network programming Examine profiling and interactive debugging techniques with tools such as GNU gdb |
| computer science 61a berkeley: Theoretical Statistics Robert W. Keener, 2010-09-08 Intended as the text for a sequence of advanced courses, this book covers major topics in theoretical statistics in a concise and rigorous fashion. The discussion assumes a background in advanced calculus, linear algebra, probability, and some analysis and topology. Measure theory is used, but the notation and basic results needed are presented in an initial chapter on probability, so prior knowledge of these topics is not essential. The presentation is designed to expose students to as many of the central ideas and topics in the discipline as possible, balancing various approaches to inference as well as exact, numerical, and large sample methods. Moving beyond more standard material, the book includes chapters introducing bootstrap methods, nonparametric regression, equivariant estimation, empirical Bayes, and sequential design and analysis. The book has a rich collection of exercises. Several of them illustrate how the theory developed in the book may be used in various applications. Solutions to many of the exercises are included in an appendix. |
| computer science 61a berkeley: An Introduction to Programming in Emacs Lisp Robert J. Chassell, 2001 |
| computer science 61a berkeley: Machine Organization Charles P. Pfleeger, 1982-02-11 This textbook is for those who want to know more about the relationship between programs and computers. Introductory programming courses tend to gloss over the internal construction of computers and concentrate on programming and algorithm development. Until people have written a few programs, they cannot appreciate the components of any computing system. Programmers eventually need to know something about the internal construction of the computer. As programmers gain experience, they are likely to ask questions like Why does my program have to be recompiled each time I remove or insert one instruction? This book deals with this question, and other similar questions, by helping programmers become more sophisticated, more qualified computer users. This book is intended for a one-semester course in machine organization for first- or second-year computer science students. |
| computer science 61a berkeley: Project Oberon Niklaus Wirth, Jürg Gutknecht, 1992 Project Oberon contains a definition of the Oberon Language and describes its relation to Modula-2 and the software tools developed with the system. This definitive, first-hand account of the design, development, and implementation of Oberon completes the Oberon trilogy. |
| computer science 61a berkeley: Language and Mind Noam Chomsky, 1972 In this collection of Chomsky's lectures, the first three essays describe linguistic contributions to the study of the mind and the last three discuss the relationship among linguistics, philosophy, and psychology. |
| computer science 61a berkeley: Schaum's Outline of Theory and Problems of Electric Circuits Joseph A. Edminister, 1995 Textbook for a first course in circuit analysis |
| computer science 61a berkeley: Instructor's Manual to Accompany Structure and Interpretation of Computer Programs Julie Sussman, Harold Abelson, Gerald Jay Sussman, 1985 Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. |
| computer science 61a berkeley: Sigcse '18 Tiffany Barnes, 2018-02-21 SIGCSE '18: The 49th ACM Technical Symposium on Computing Science Education Feb 21, 2018-Feb 24, 2018 Baltimore, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl. |
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A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern …
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