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| computer science degree after bachelor's: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 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. |
| computer science degree after bachelor's: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2008 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| computer science degree after bachelor's: Software Engineering Education Lionel E. Deimel, 1990-04-06 |
| computer science degree after bachelor's: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition. |
| computer science degree after bachelor's: Programming from the Ground Up Jonathan Bartlett, 2009-09-24 Programming from the Ground Up uses Linux assembly language to teach new programmers the most important concepts in programming. It takes you a step at a time through these concepts: * How the processor views memory * How the processor operates * How programs interact with the operating system * How computers represent data internally * How to do low-level and high-level optimization Most beginning-level programming books attempt to shield the reader from how their computer really works. Programming from the Ground Up starts by teaching how the computer works under the hood, so that the programmer will have a sufficient background to be successful in all areas of programming. This book is being used by Princeton University in their COS 217 Introduction to Programming Systems course. |
| computer science degree after bachelor's: Ultralearning Scott H. Young, 2019-08-06 Now a Wall Street Journal bestseller. Learn a new talent, stay relevant, reinvent yourself, and adapt to whatever the workplace throws your way. Ultralearning offers nine principles to master hard skills quickly. This is the essential guide to future-proof your career and maximize your competitive advantage through self-education. In these tumultuous times of economic and technological change, staying ahead depends on continual self-education—a lifelong mastery of fresh ideas, subjects, and skills. If you want to accomplish more and stand apart from everyone else, you need to become an ultralearner. The challenge of learning new skills is that you think you already know how best to learn, as you did as a student, so you rerun old routines and old ways of solving problems. To counter that, Ultralearning offers powerful strategies to break you out of those mental ruts and introduces new training methods to help you push through to higher levels of retention. Scott H. Young incorporates the latest research about the most effective learning methods and the stories of other ultralearners like himself—among them Benjamin Franklin, chess grandmaster Judit Polgár, and Nobel laureate physicist Richard Feynman, as well as a host of others, such as little-known modern polymath Nigel Richards, who won the French World Scrabble Championship—without knowing French. Young documents the methods he and others have used to acquire knowledge and shows that, far from being an obscure skill limited to aggressive autodidacts, ultralearning is a powerful tool anyone can use to improve their career, studies, and life. Ultralearning explores this fascinating subculture, shares a proven framework for a successful ultralearning project, and offers insights into how you can organize and exe - cute a plan to learn anything deeply and quickly, without teachers or budget-busting tuition costs. Whether the goal is to be fluent in a language (or ten languages), earn the equivalent of a college degree in a fraction of the time, or master multiple tools to build a product or business from the ground up, the principles in Ultralearning will guide you to success. |
| computer science degree after bachelor's: The Minimum You Need to Know about Logic to Work in IT Roland Hughes, 2007 This book is part of aaThe Minimum You Need to Knowaa family of books by Logikal Solutions. As the family expands they will cover an increasing variety of topics. This book is designed to be used as a text book for classes in logic from high school to college level. It should be one of the first courses you have on IT and this should be one of the first books you read when starting in IT. Not only does this book cover flow charting and pseudocode, it teaches the reader to think before they start mapping out the logic to solve a problem. The author of this book is an industry veteran with nearly 20 years in the field. It has been his experience that recent graduates, from any country, are nearly useless at problem solving. If they cannot point, click, and drag, they cannot solve the problem. This book is an attempt to teach them how to solve the problem. An instructoraas guide is available for schools looking to make this book the basis of coursework. |
| computer science degree after bachelor's: Ripple Quick Start Guide Febin John James, 2018-12-31 Learn to work with XRP and build applications on Ripple's blockchain Key FeaturesLearn to use Ripple’s decentralized system for transfering digital assets globallyA simpilfied and shortened learning curve to understand the Ripple innovation and BlockchainTakes a hands-on approach to work with XRP – Ripple’s native currencyBook Description This book starts by giving you an understanding of the basics of blockchain and the Ripple protocol. You will then get some hands-on experience of working with XRP. You will learn how to set up a Ripple wallet and see how seamlessly you can transfer money abroad. You will learn about different types of wallets through which you can store and transact XRP, along with the security precautions you need to take to keep your money safe. Since Ripple is currency agnostic, it can enable the transfer of value in USD, EUR, and any other currency. You can even transfer digital assets using Ripple. You will see how you can pay an international merchant with their own native currency and how Ripple can exchange it on the fly. Once you understand the applications of Ripple, you will learn how to create a conditionally-held escrow using the Ripple API, and how to send and cash checks. Finally, you will also understand the common misconceptions people have about Ripple and discover the potential risks you must consider before making investment decisions. By the end of this book, you will have a solid foundation for working with Ripple's blockchain. Using it, you will be able to solve problems caused by traditional systems in your respective industry. What you will learnUnderstand the fundamentals of blockchain and RippleLearn how to choose a Ripple walletSet up a Ripple wallet to send and receive XRPLearn how to protect your XRPUnderstand the applications of RippleLearn how to work with the Ripple APILearn how to build applications on check and escrow features of RippleWho this book is for This book is for anyone interested in getting their hands on Ripple technology and learn where it can be used to gain competitive advantages in their respective fields. For most parts of the book, you need not have any pre-requisite knowledge. However, you need to have basic background of JavaScript to write an escrow. |
| computer science degree after bachelor's: Elements of Programming Interviews Adnan Aziz, Tsung-Hsien Lee, Amit Prakash, 2012 The core of EPI is a collection of over 300 problems with detailed solutions, including 100 figures, 250 tested programs, and 150 variants. The problems are representative of questions asked at the leading software companies. The book begins with a summary of the nontechnical aspects of interviewing, such as common mistakes, strategies for a great interview, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. The technical core of EPI is a sequence of chapters on basic and advanced data structures, searching, sorting, broad algorithmic principles, concurrency, and system design. Each chapter consists of a brief review, followed by a broad and thought-provoking series of problems. We include a summary of data structure, algorithm, and problem solving patterns. |
| computer science degree after bachelor's: Florida Institute of Technology Gordon Patterson, 2000-11 In the 1950s, East Central Florida underwent a vast transformation with the creation of the American space program. The sleepy fishing communities stretching from Titusville to Melbourne became home to an army of engineers, rocket scientists, and technicians who would soon take Florida and the nation into the missile age. With no opportunities for advanced study nearby, a handful of determined men and women launched Brevard Engineering College in 1958. In 1966, Florida's secretary of state approved the college's petition to change its name to Florida Institute of Technology. In its short history, Florida Tech has overcome formidable hurdles and succeeded in winning a place in the top ranks of scientific and technological universities. A college on the rise, Florida Tech has not only a bright future, but a rich and colorful history that has been captured in striking photographs. The exciting story of Countdown College-from the lift-off of Bumper 8 in 1950, which launched the space program in Florida, to the most recent high-tech additions to campus facilities-is the subject of this captivating new pictorial history. |
| computer science degree after bachelor's: System Architecture Wolfgang J. Paul, Christoph Baumann, Petro Lutsyk, Sabine Schmaltz, 2016-10-04 The pillars of the bridge on the cover of this book date from the Roman Empire and they are in daily use today, an example of conventional engineering at its best. Modern commodity operating systems are examples of current system programming at its best, with bugs discovered and fixed on a weekly or monthly basis. This book addresses the question of whether it is possible to construct computer systems that are as stable as Roman designs. The authors successively introduce and explain specifications, constructions and correctness proofs of a simple MIPS processor; a simple compiler for a C dialect; an extension of the compiler handling C with inline assembly, interrupts and devices; and the virtualization layer of a small operating system kernel. A theme of the book is presenting system architecture design as a formal discipline, and in keeping with this the authors rely on mathematics for conciseness and precision of arguments to an extent common in other engineering fields. This textbook is based on the authors' teaching and practical experience, and it is appropriate for undergraduate students of electronics engineering and computer science. All chapters are supported with exercises and examples. |
| computer science degree after bachelor's: Codeless Data Structures and Algorithms Armstrong Subero, 2020-02-13 In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. What You'll LearnUnderstand tree data structures without delving into unnecessary details or going into too much theoryGet started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues Who This Book Is ForThis book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don’t want to wade through unnecessary details about quirks of a programming language or don’t have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work. |
| computer science degree after bachelor's: Hackers & Painters Paul Graham, 2004-05-18 The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft. |
| computer science degree after bachelor's: Big Data and Hadoop Mayank Bhusan, 2018-06-02 The book contains the latest trend in IT industry 'BigData and Hadoop'. It explains how big is 'Big Data' and why everybody is trying to implement this into their IT project.It includes research work on various topics, theoretical and practical approach, each component of the architecture is described along with current industry trends.Big Data and Hadoop have taken together are a new skill as per the industry standards. Readers will get a compact book along with the industry experience and would be a reference to help readers.KEY FEATURES Overview Of Big Data, Basics of Hadoop, Hadoop Distributed File System, HBase, MapReduce, HIVE: The Dataware House Of Hadoop, PIG: The Higher Level Programming Environment, SQOOP: Importing Data From Heterogeneous Sources, Flume, Ozzie, Zookeeper & Big Data Stream Mining, Chapter-wise Questions & Previous Years Questions |
| computer science degree after bachelor's: Algorithms in C. Robert Sedgewick, 2001 This text aims to provide an introduction to graph algorithms and data structures and an understanding of the basic properties of a broad range of fundamental graph algorithms. It is suitable for anyone with some basic programming concepts. It covers graph properties and types, graph search, directed graphs, minimal spanning trees, shortest paths, and networks. |
| computer science degree after bachelor's: Computer Science Illuminated Nell B. Dale, John Lewis, 2013 Revised and updated with the latest information in the field, the Fifth Edition of best-selling Computer Science Illuminated continues to provide students with an engaging breadth-first overview of computer science principles and provides a solid foundation for those continuing their study in this dynamic and exciting discipline. Authored by two of today's most respected computer science educators, Nell Dale and John Lewis, the text carefully unfolds the many layers of computing from a language-neutral perspective, beginning with the information layer, progressing through the hardware, programming, operating systems, application, and communication layers, and ending with a discussion on the limitations of computing. Separate program language chapters are available as bundle items for instructors who would like to explore a particular programming language with their students. Ideal for introductory computing and computer science courses, the fifth edition's thorough presentation of computing systems provides computer science majors with a solid foundation for further study, and offers non-majors a comprehensive and complete introduction to computing. New Features of the Fifth Edition: - Includes a NEW chapter on computer security (chapter 17) to provide readers with the latest information, including discussions on preventing unauthorized access and guidelines for creating effective passwords, types of malware anti-virus software, problems created by poor programming, protecting your online information including data collection issues with Facebook, Google, etc., and security issues with mobile and portable devices. - A NEW section on cloud computing (chapter 15) offers readers an overview of the latest way in which businesses and users interact with computers and mobile devices. - The section on social networks (moved to chapter 16) has been rewritten to include up-to-date information, including new data on Google+ and Facebook. - The sections covering HTML have been updated to include HTML5. - Includes revised and updated Did You Know callouts in the chapter margins. - The updated Ethical Issues at the end of each chapter have been revised to tie the content to the recently introduced tenth strand recommended by the ACM stressing the importance of computer ethics. Instructor Resources: -Answers to the end of chapter exercises -Answers to the lab exercises -PowerPoint Lecture Outlines -PowerPoint Image Bank -Test Bank Every new copy is packaged with a free access code to the robust Student Companion Website featuring: Animated Flashcards; Relevant Web Links; Crossword Puzzles; Interactive Glossary; Step by step tutorial on web page development; Digital Lab Manual; R. Mark Meyer's labs, Explorations in Computer Science; Additional programming chapters, including Alice, C++, Java, JavaScript, Pascal, Perl, Python, Ruby, SQL, and VB.NET; C++ Language Essentials labs; Java Language Essentials labs; Link to Download Pep/8 |
| computer science degree after bachelor's: Mechanism Analysis Lyndon O. Barton, 2016-04-19 This updated and enlarged Second Edition provides in-depth, progressive studies of kinematic mechanisms and offers novel, simplified methods of solving typical problems that arise in mechanisms synthesis and analysis - concentrating on the use of algebra and trigonometry and minimizing the need for calculus.;It continues to furnish complete coverag |
| computer science degree after bachelor's: Algorithms Robert Sedgewick, 1988 Software -- Programming Techniques. |
| computer science degree after bachelor's: ICT for GCSE Tim Roderick, Geoff Rushbrook, 2002-04-04 This is an illustrated summary book in full colour for classroom use and for examination revision, covering the requirements of GCSE Specifications from September 2001 in information technology/computing. |
| computer science degree after bachelor's: The New Rules of Work Alexandra Cavoulacos, Kathryn Minshew, 2017 In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between-- |
| computer science degree after bachelor's: Vue.js in Action Erik Hanchett, Ben Listwon, 2018-09-10 Summary Web pages are rich with data and graphics, and it's challenging to maintain a smooth and quick user experience. Vue.js in Action teaches you how to build a fast, flowing web UI with the Vue.js framework. As you move through the book, you'll put your skills to practice by building a complete web store application with product listings, a checkout process, and an administrative interface. About the technology Vue.js is a lightweight frontend framework, offering easy two-way data binding, a reactive UI, and a common-sense project structure. It uses UI patterns and modern HTML to deliver impossibly fast page loads and silky smooth transitions—all from a tiny code footprint. It’s a delight to develop in Vue using ordinary JavaScript and its integrated Vuex state management tool. About the book Vue.js in Action is your guide to building modern web apps. You’ll start by exploring the reactive UI model while you get comfortable with Vue’s unique features. Then, you’ll go deeper as you build a shopping cart with an admin interface and the ability to manage stock! Finally, you’ll extend your app, adding transitions, tests, and other key features until it’s production ready. What's inside Clearly annotated code and illustrations Modeling data and consuming APIs Easy state management with Vuex Creating custom directives About the reader Written for web developers with some experience in JavaScript, HTML, and CSS. About the author Erik Hanchett and Benjamin Listwon are experienced web engineers and fearless explorers of new ideas. Vue.js is a front-end framework that builds on many of the reactive UI ideas introduced in React.js. Vue.js in Action teaches readers to build fast, flowing web UI with the Vue.js framework. As they move through the book, readers put their skills to practice by building a complete web store application with product listings, a checkout process, and an administrative interface! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. |
| computer science degree after bachelor's: Learn Python 3 the Hard Way Zed A. Shaw, 2017-06-26 You Will Learn Python 3! Zed Shaw has perfected the world’s best system for learning Python 3. Follow it and you will succeed—just like the millions of beginners Zed has taught to date! You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, you’ll learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix your mistakes. Watch the programs run. As you do, you’ll learn how a computer works; what good programs look like; and how to read, write, and think about code. Zed then teaches you even more in 5+ hours of video where he shows you how to break, fix, and debug your code—live, as he’s doing the exercises. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Variables Strings and text Interact with users Work with files Looping and logic Data structures using lists and dictionaries Program design Object-oriented programming Inheritance and composition Modules, classes, and objects Python packaging Automated testing Basic game development Basic web development It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll know one of the world’s most powerful, popular programming languages. You’ll be a Python programmer. This Book Is Perfect For Total beginners with zero programming experience Junior developers who know one or two languages Returning professionals who haven’t written code in years Seasoned professionals looking for a fast, simple, crash course in Python 3 |
| computer science degree after bachelor's: Righting Software Juval Löwy, 2019-11-27 Right Your Software and Transform Your Career Righting Software presents the proven, structured, and highly engineered approach to software design that renowned architect Juval Löwy has practiced and taught around the world. Although companies of every kind have successfully implemented his original design ideas across hundreds of systems, these insights have never before appeared in print. Based on first principles in software engineering and a comprehensive set of matching tools and techniques, Löwy’s methodology integrates system design and project design. First, he describes the primary area where many software architects fail and shows how to decompose a system into smaller building blocks or services, based on volatility. Next, he shows how to flow an effective project design from the system design; how to accurately calculate the project duration, cost, and risk; and how to devise multiple execution options. The method and principles in Righting Software apply regardless of your project and company size, technology, platform, or industry. Löwy starts the reader on a journey that addresses the critical challenges of software development today by righting software systems and projects as well as careers—and possibly the software industry as a whole. Software professionals, architects, project leads, or managers at any stage of their career will benefit greatly from this book, which provides guidance and knowledge that would otherwise take decades and many projects to acquire. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| computer science degree after bachelor's: Ember.js Cookbook Erik Hanchett, 2016-02-29 Arm yourself with over 65 hands-on recipes to master the skills of building scalable web applications with Ember.js About This Book This book is your one-stop solution to the key features of Ember.js. Become skilled in the art of building web-apps in a fraction of the code you'd write in other frameworks. Build JavaScript apps that don't break the web! Our 100 recipes will make this a cakewalk for you! This books makes learning Ember.js easy by breaking down each topic into simple-to-understand recipes Who This Book Is For Anyone who wants to explore Ember.js and wishes to get hands on making sophisticated web apps with less coding will find this book handy. Prior experience in Coding and familiarity with JavaScript is recommended. If you've heard of Ember.js or are just curious on how a single-page application framework works, then this book is for you. What You Will Learn Skip the boilerplate code with Ember CLI generators Create a component with actions and events Set up a model with Ember Data using fixture data Create several different types of test cases and run them Manage and set up user authentication using Ember Simple Auth Add animated transitions to your app with Liquid Fire Set up a service and initializer with dependency injection Create a working chat application Set up an Ember Service and initializer with dependency injection Create a working chat application In Detail Ember.js is an open source JavaScript framework that will make you more productive. It uses common idioms and practices, making it simple to create amazing single-page applications. It also lets you create code in a modular way using the latest JavaScript features. Not only that, it has a great set of APIs to get any task done. The Ember.js community is welcoming newcomers and is ready to help you when needed. This book provides in-depth explanations on how to use the Ember.js framework to take you from beginner to expert. You'll start with some basic topics and by the end of the book, you'll know everything you need to know to build a fully operational Ember application. We'll begin by explaining key points on how to use the Ember.js framework and the associated tools. You'll learn how to effectively use Ember CLI and how to create and deploy your application. We'll take a close look at the Ember object model and templates by examining bindings and observers. We'll then move onto Ember components, models, and Ember Data. We'll show you examples on how to connect to RESTful databases. Next we'll get to grips with testing with integration and acceptance tests using QUnit. We will conclude by covering authentication, services, and Ember add-ons. We'll explore advanced topics such as services and initializers, and how to use them together to build real-time applications. Style and approach Each recipe in this book will make it that much easier to understand Ember.js. Recipe after recipe, you will learn the concepts of Ember.js by following the simple step-by-step processes |
| computer science degree after bachelor's: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
| computer science degree after bachelor's: How to Design Programs, second edition Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shriram Krishnamurthi, 2018-05-25 A completely revised edition, offering new design recipes for interactive programs and support for images as plain values, testing, event-driven programming, and even distributed programming. This introduction to programming places computer science at the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language. For the same reason, it offers DrRacket, a programming environment for novices that supports playful, feedback-oriented learning. The environment grows with readers as they master the material in the book until it supports a full-fledged language for the whole spectrum of programming tasks. This second edition has been completely revised. While the book continues to teach a systematic approach to program design, the second edition introduces different design recipes for interactive programs with graphical interfaces and batch programs. It also enriches its design recipes for functions with numerous new hints. Finally, the teaching languages and their IDE now come with support for images as plain values, testing, event-driven programming, and even distributed programming. |
| computer science degree after bachelor's: So Good They Can't Ignore You Cal Newport, 2012-09-18 In an unorthodox approach, Georgetown University professor Cal Newport debunks the long-held belief that follow your passion is good advice, and sets out on a quest to discover the reality of how people end up loving their careers. Not only are pre-existing passions rare and have little to do with how most people end up loving their work, but a focus on passion over skill can be dangerous, leading to anxiety and chronic job hopping. Spending time with organic farmers, venture capitalists, screenwriters, freelance computer programmers, and others who admitted to deriving great satisfaction from their work, Newport uncovers the strategies they used and the pitfalls they avoided in developing their compelling careers. Cal reveals that matching your job to a pre-existing passion does not matter. Passion comes after you put in the hard work to become excellent at something valuable, not before. In other words, what you do for a living is much less important than how you do it. With a title taken from the comedian Steve Martin, who once said his advice for aspiring entertainers was to be so good they can't ignore you, Cal Newport's clearly written manifesto is mandatory reading for anyone fretting about what to do with their life, or frustrated by their current job situation and eager to find a fresh new way to take control of their livelihood. He provides an evidence-based blueprint for creating work you love, and will change the way you think about careers, happiness, and the crafting of a remarkable life. |
| computer science degree after bachelor's: 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 degree after bachelor's: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| computer science degree after bachelor's: Computer Science Handbook Allen B. Tucker, 2004-06-28 When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap |
| computer science degree after bachelor's: Calculus Revisited R.W. Carroll, 2002-12-31 In this book the details of many calculations are provided for access to work in quantum groups, algebraic differential calculus, noncommutative geometry, fuzzy physics, discrete geometry, gauge theory, quantum integrable systems, braiding, finite topological spaces, some aspects of geometry and quantum mechanics and gravity. |
| computer science degree after bachelor's: How to Prove It Daniel J. Velleman, 2006-01-16 Many students have trouble the first time they take a mathematics course in which proofs play a significant role. This new edition of Velleman's successful text will prepare students to make the transition from solving problems to proving theorems by teaching them the techniques needed to read and write proofs. The book begins with the basic concepts of logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. These concepts are used as the basis for a step-by-step breakdown of the most important techniques used in constructing proofs. The author shows how complex proofs are built up from these smaller steps, using detailed 'scratch work' sections to expose the machinery of proofs about the natural numbers, relations, functions, and infinite sets. To give students the opportunity to construct their own proofs, this new edition contains over 200 new exercises, selected solutions, and an introduction to Proof Designer software. No background beyond standard high school mathematics is assumed. This book will be useful to anyone interested in logic and proofs: computer scientists, philosophers, linguists, and of course mathematicians. |
| computer science degree after bachelor's: The Productive Programmer Neal Ford, 2008-07-03 Anyone who develops software for a living needs a proven way to produce it better, faster, and cheaper. The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to: Write the test before you write the code Manage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standards Make hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer. |
| computer science degree after bachelor's: Career Guide to Industries , 2006 |
| computer science degree after bachelor's: INTRODUCTION TO ARTIFICIAL INTELLIGENCE, Second Edition AKERKAR, RAJENDRA, 2014-07-18 This comprehensive text acquaints the readers with the important aspects of artificial intelligence (AI) and intelligent systems and guides them towards a better understanding of the subject. The text begins with a brief introduction to artificial intelligence, including application areas, its history and future, and programming. It then deals with symbolic logic, knowledge acquisition, representation and reasoning. The text also lucidly explains AI technologies such as computer vision, natural language processing, pattern recognition and speech recognition. Topics such as expert systems, neural networks, constraint programming and case-based reasoning are also discussed in the book. In the Second Edition, the contents and presentation have been improved thoroughly and in addition six new chapters providing a simulating and inspiring synthesis of new artificial intelligence and an appendix on AI tools have been introduced. The treatment throughout the book is primarily tailored to the curriculum needs of B.E./B.Tech. students in Computer Science and Engineering, B.Sc. (Hons.) and M.Sc. students in Computer Science, and MCA students. The book is also useful for computer professionals interested in exploring the field of artificial intelligence. Key Features • Exposes the readers to real-world applications of AI. • Concepts are duly supported by examples and cases. • Provides appendices on PROLOG, LISP and AI Tools. • Incorporates most recommendations of the Curriculum Committee on Computer Science/Engineering for AI and Intelligent Systems. • Exercises provided will help readers apply what they have learned. |
| computer science degree after bachelor's: Working on the Dark Side of the Moon Thomas Reed Willemain, 2017-05-30 To most Americans, the NSA is an organization shrouded in secrecy, where the most clandestine of operations are carried out in the name of national security. Dr. Thomas Willemain, successful software entrepreneur and statistics professor, spent the equivalent of three years alternating between his life outside and working inside at the NSA and an affiliated, shadowy think tank. Once inside, Dr. Willemain would be challenged to adjust to life in an intense, complex and sometimes alien organization, while also encountering brilliant and quirky colleagues, the moral challenges of wielding math and statistics as weapons, a charming (if kitschy) gift shop, and ultimately, some of the most rewarding time of his career. A deeply personal account of the years spent within the most secretive organization in the world, Working on the Dark Side of the Moon explores the range of emotions an outsider experiences while crossing over to the inside. It also shows the positive side of an Agency whose secrecy hides dedicated men and women devoted to protecting the country while honoring the Constitution. Thomas Reed Willemain received the BSE (summa cum laude) from Princeton University and the PhD from Massachusetts Institute of Technology. His academic career has included faculty positions at M.I.T., Harvard's Kennedy School, and Rensselaer Polytechnic Institute, where he is Professor Emeritus of Industrial and Systems Engineering. He is also a founder and Senior Vice President at Smart Software, Inc. in Boston. He served in the Intelligence Community as an Expert Statistical Consultant at the National Security Agency and as a member of the research staff at the Institute for Defense Analyses/Center for Computing Sciences. |
| computer science degree after bachelor's: Coding the Matrix Philip N. Klein, 2013-07 An engaging introduction to vectors and matrices and the algorithms that operate on them, intended for the student who knows how to program. Mathematical concepts and computational problems are motivated by applications in computer science. The reader learns by doing, writing programs to implement the mathematical concepts and using them to carry out tasks and explore the applications. Examples include: error-correcting codes, transformations in graphics, face detection, encryption and secret-sharing, integer factoring, removing perspective from an image, PageRank (Google's ranking algorithm), and cancer detection from cell features. A companion web site, codingthematrix.com provides data and support code. Most of the assignments can be auto-graded online. Over two hundred illustrations, including a selection of relevant xkcd comics. Chapters: The Function, The Field, The Vector, The Vector Space, The Matrix, The Basis, Dimension, Gaussian Elimination, The Inner Product, Special Bases, The Singular Value Decomposition, The Eigenvector, The Linear Program A new edition of this text, incorporating corrections and an expanded index, has been issued as of September 4, 2013, and will soon be available on Amazon. |
| computer science degree after bachelor's: Problem Solving with Computers Paul Calter, 1973 |
| computer science degree after bachelor's: Extinguish Burnout Robert Bogue, Terri Bogue, 2019 An authoritative and relevant guide that provides practical advice for how to avoid and recover from burnout and embark on the pathway to thriving. Trapped. Stuck. Helpless. These are the words that people experiencing burnout use to describe their lives, but they don't have to. The words used after extinguishing burnout are hopeful, thriving, flourishing, and powerful. Nearly everyone has experienced burnout. Some have escaped burnout's grips, but at what cost, and after how long? When we find ourselves succumbing to the pressures of today that move us towards burnout, we need a clear path to get out and avoid it in the future. That's what Rob and Terri Bogue have put together - a clear path out of burnout. In the book, you'll learn: - What causes burnout and how to escape - How to more realistically value the results you're getting - When to ask for and receive more support - What four simple physical self-care activities reduce burnout - How to change your self-talk for the better - What to do to manage your demands so you're not so exhausted - How to better recognize your personal value - How to integrate your self-image and reduce your stress - How to identify and eliminate barriers to your efficacy - How to build resilience against setbacks - Why hope is essential - Why failure isn't final - How to be detached without being disengaged Rob and Terri convert abstract concepts into tangible activities that you can do to escape burnout. They convert nearly incomprehensible research into practical steps anyone can take. Intentionally short chapters can be read in only a few minutes, so you don't have to commit to a long book or chapter to start feeling better. If you need to read one book about well-being, this is absolutely it. - Sharlyn Lauby, Author of HR Bartender |
| computer science degree after bachelor's: Overcoming the Achievement Gap Trap Anthony Muhammad, 2015 Explores the state of the academic achievement gap that exists in U.S. public schools, particularly among poor and minority students, and argues that the mindset that achievement gaps are inevitable are no longer tolerable. Explores ways to close the achievement gap via real-world case studies where principals and educators have adopted new mindsets for education. |
Bachelor’s Degree in Computer Science: A Guide - Coursera
Mar 13, 2025 · In this article, we’ll discuss what it takes to earn a bachelor’s degree in computer science, the courses you can expect, and what you can do with the degree after graduation.
What masters should I go for after my computer science bachelors …
Aug 9, 2021 · From my limited knowledge, I think the two better plans are to either plan on going straight into the job market after graduation, or plan on doing the masters as a stepping stone to …
After BSC Computer Science, Which course is better?
Jul 5, 2024 · Choosing postgraduate education after a Bachelor’s in Computer Science is crucial. Options include specialized Master’s programs and targeted certifications, each offering unique …
Computer Science Degree: Career Opportunities & Paths | SNHU
Jun 6, 2025 · Computer sciences degrees can position graduates for success in roles in computer and information science, computer programming, computer systems analysis, information …
10 Career Paths You Can Pursue With a Computer Science Degree
Sep 25, 2023 · Let’s dive into ten of the most in-demand career paths for those with a degree in computer science, as well as some practical tips for choosing the right path for your goals and …
Computer Science Degree Online – Bachelor of Science | WGU
Earning an online ABET-accredited bachelor’s degree in Computer Science, designed by industry experts, combines theoretical depth and technical know-how. This program enhances the …
Best Online Computer Science Bachelor's Degrees (2025)
Dec 6, 2024 · Prospective computer science students can read the following page to discover the best online computer science degrees, program costs, and relevant benefits. Learn about start …
Best Career Paths with a Computer Science Bachelor's Degree
Here are the top career options after your bachelor’s degree in computer science online: The position of a system analyst is something that is more demand in every organization. This is also …
Overview of Bachelor's in Computer Science Programs
Aug 28, 2024 · A bachelor's degree in computer science is a four-year program combining general education with computer science, mathematics, and technology coursework. This degree can …
Computer Science Degree Guide: Courses, Careers And Online …
Jun 12, 2024 · It takes about four years of full-time study to earn a bachelor’s in computer science. Part-time students, however, may need more time to fulfill the 120-credit requirement for this …
Bachelor’s Degree in Computer Science: A Guide - Coursera
Mar 13, 2025 · In this article, we’ll discuss what it takes to earn a bachelor’s degree in computer science, the courses you can expect, and what you can do with the degree after graduation.
What masters should I go for after my computer science bachelors ...
Aug 9, 2021 · From my limited knowledge, I think the two better plans are to either plan on going straight into the job market after graduation, or plan on doing the masters as a stepping stone …
After BSC Computer Science, Which course is better?
Jul 5, 2024 · Choosing postgraduate education after a Bachelor’s in Computer Science is crucial. Options include specialized Master’s programs and targeted certifications, each offering …
Computer Science Degree: Career Opportunities & Paths | SNHU
Jun 6, 2025 · Computer sciences degrees can position graduates for success in roles in computer and information science, computer programming, computer systems analysis, information …
10 Career Paths You Can Pursue With a Computer Science Degree
Sep 25, 2023 · Let’s dive into ten of the most in-demand career paths for those with a degree in computer science, as well as some practical tips for choosing the right path for your goals and …
Computer Science Degree Online – Bachelor of Science | WGU
Earning an online ABET-accredited bachelor’s degree in Computer Science, designed by industry experts, combines theoretical depth and technical know-how. This program enhances the …
Best Online Computer Science Bachelor's Degrees (2025)
Dec 6, 2024 · Prospective computer science students can read the following page to discover the best online computer science degrees, program costs, and relevant benefits. Learn about start …
Best Career Paths with a Computer Science Bachelor's Degree
Here are the top career options after your bachelor’s degree in computer science online: The position of a system analyst is something that is more demand in every organization. This is …
Overview of Bachelor's in Computer Science Programs
Aug 28, 2024 · A bachelor's degree in computer science is a four-year program combining general education with computer science, mathematics, and technology coursework. This …
Computer Science Degree Guide: Courses, Careers And Online …
Jun 12, 2024 · It takes about four years of full-time study to earn a bachelor’s in computer science. Part-time students, however, may need more time to fulfill the 120-credit requirement …
