Advertisement
| computer engineering crash course: AP® Computer Science Principles Crash Course, 2nd Ed., Book + Online Jacqueline Corricelli, 2021-03-05 Study only what you need to know-REA's Crash Course targets just what's on the test so you can make the most of your study time. Get practical test-taking tips-boost your score with advice from expert AP® teachers who know the test from the inside out. Build confidence with our online practice exam-balanced to include every type of question you can expect on the actual exam, so you'll be prepared on test day. Book jacket. |
| computer engineering crash course: AP® Computer Science Principles Crash Course Jacqueline Corricelli, 2018-01-04 AP® Computer Science Principles Crash Course® A Higher Score in Less Time! REA's AP® Computer Science Principles Crash Course® is the top choice for the last-minute studier or any Computer Science Principles student who wants a quick refresher on the course. Are you crunched for time? Have you started studying for your Advanced Placement® Computer Science Principles exam yet? How will you memorize everything you need to know before the test? Do you wish there was a fast and easy way to study for the exam AND boost your score? If this sounds like you, don't panic. REA's Crash Course for AP® Computer Science Principles is just what you need. Our Crash Course gives you: Targeted Review - Study Only What You Need to Know. The review is based on an in-depth analysis of the AP® Computer Science Principles course description outline and sample AP® test questions. It covers only the information tested on the exam, so you can make the most of your valuable study time. Expert Test-taking Strategies and Advice. Written by Jacqueline Corricelli, an award-winning AP® Computer Science Principles teacher and test development expert, the book gives you the topics and critical context that will matter most on exam day. Crash Course® relies on the author’s extensive analysis of the test’s structure and content. By following her advice, you can boost your score. REA's Online Practice Exam. Are you ready for your exam? Take REA's practice exam and find out. You'll get the benefits of timed testing, detailed explanations of answers, and automatic scoring analysis. Our practice exam is balanced to include every topic and type of question found on the actual AP® exam, so you'll be confident on test day. Whether you're cramming for the exam or reinforcing what you learn as you go through the course, this is the study guide every AP® Computer Science Principles student must have. |
| computer engineering crash course: Learn Java the Easy Way Bryson Payne, 2017-11-14 Java is the world’s most popular programming language, but it’s known for having a steep learning curve. Learn Java the Easy Way takes the chore out of learning Java with hands-on projects that will get you building real, functioning apps right away. You’ll start by familiarizing yourself with JShell, Java’s interactive command line shell that allows programmers to run single lines of code and get immediate feedback. Then, you’ll create a guessing game, a secret message encoder, and a multitouch bubble-drawing app for both desktop and mobile devices using Eclipse, an industry-standard IDE, and Android Studio, the development environment for making Android apps. As you build these apps, you’ll learn how to: -Perform calculations, manipulate text strings, and generate random colors -Use conditions, loops, and methods to make your programs responsive and concise -Create functions to reuse code and save time -Build graphical user interface (GUI) elements, including buttons, menus, pop-ups, and sliders -Take advantage of Eclipse and Android Studio features to debug your code and find, fix, and prevent common mistakes If you’ve been thinking about learning Java, Learn Java the Easy Way will bring you up to speed in no time. |
| computer engineering crash course: Cybersecurity For Dummies Joseph Steinberg, 2019-10-15 Protect your business and family against cyber attacks Cybersecurity is the protection against the unauthorized or criminal use of electronic data and the practice of ensuring the integrity, confidentiality, and availability of information. Being cyber-secure means that a person or organization has both protected itself against attacks by cyber criminals and other online scoundrels, and ensured that it has the ability to recover if it is attacked. If keeping your business or your family safe from cybersecurity threats is on your to-do list, Cybersecurity For Dummies will introduce you to the basics of becoming cyber-secure! You’ll learn what threats exist, and how to identify, protect against, detect, and respond to these threats, as well as how to recover if you have been breached! The who and why of cybersecurity threats Basic cybersecurity concepts What to do to be cyber-secure Cybersecurity careers What to think about to stay cybersecure in the future Now is the time to identify vulnerabilities that may make you a victim of cyber-crime — and to defend yourself before it is too late. |
| computer engineering crash course: Computer Programming Crash Course Julian James McKinnon, 2021-03-02 -- 55% OFF For Bookstores! -- Are you looking for the PERFECT introduction into the world of coding? Want to uncover the secrets of Python, SQL, C++ and so much more? Are you looking for the ultimate guide to getting started with programming? Then this bundle is for you. Written with the beginner in mind, this incredible 7-in-1 book bundle brings you everything you need to know about programming. Packed with a ton of advice and step-by-step instructions on all the most popular and useful languages, you'll explore how even a complete beginner can get started with ease! Covering data science, Arduino, and even Raspberry pi, you'll learn the fundamentals of object-oriented programming, operators, variables, loops, classes, arrays, strings and so much more! Here's just a little of what you'll discover inside: Uncovering The Secrets of C++, C#, Python, SQL and More Breaking Down The Fundamentals of Data Science Understanding The Different Classes, Operations, and Data Types Fundamental Programming Skills That YOU Need To Know Tips and Tricks For Getting The Most out of Each Language The Best Strategies For Using Arduino and Raspberry Pi Common Errors and How To Troubleshoot Them And Much More! No matter your level of programming experience, this bundle uses step-by-step instructions and easy-to-follow advice so you can get the most out of programming. Explore these amazing languages, master the fundamentals of programming, and unleash your programming potential today! Buy it now and let your customers start their journey in programming! |
| computer engineering crash course: 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 engineering crash course: Practical Programming in Tcl and Tk Brent B. Welch, Ken Jones, Jeffrey Hobbs, 2003 The bulk of the book is about Tcl scripting and the aspects of C programming to create Tcl extentions is given a lighter treatment.--Author. |
| computer engineering crash course: Rosie Revere, Engineer Andrea Beaty, 2013-09-03 In this beloved New York Times bestselling picture book, meet Rosie Revere, a seemingly quiet girl by day but a brilliant inventor of gizmos and gadgets by night. Rosie dreams of becoming a great engineer, and her room becomes a secret workshop where she constructs ingenious inventions from odds and ends. From hot dog dispensers to helium pants and python-repelling cheese hats, Rosie's creations would astound anyone—if only she'd let them see. But Rosie is afraid of failure, so she hides her inventions under her bed. That is, until her great-great-aunt Rose (also known as Rosie the Riveter) pays her a visit. Aunt Rose teaches Rosie that the first flop isn't something to fear; it's something to celebrate. Failure only truly happens if you quit. And so, Rosie learns to embrace her passion, celebrate her missteps, and pursue her dreams with persistence. This empowering picture book encourages young readers to explore their creativity, persevere through challenges, and celebrate the journey toward achieving their goals. Whether you're a budding engineer or simply love stories of resilience, Rosie Revere, Engineer is a delightful read for all ages. Add this inspiring tale to your family library and discover the magic of celebrating each failure on the road to success. Don’t miss the book that the Duchess of York recently chose to read aloud at a Literally Healing visit to a children’s hospital. For more STEM-themed adventures, check out other titles by Andrea Beaty and David Roberts, including Ada Twist, Scientist, Iggy Peck, Architect, and Rosie Revere and the Raucous Riveters. “Will no doubt inspire conversations with children about the benefits of failure and the pursuit of dreams.” —School Library Journal Check out all the books in the Questioneers Series: The Questioneers Picture Book Series: Iggy Peck, Architect | Rosie Revere, Engineer | Ada Twist, Scientist | Sofia Valdez, Future Prez | Aaron Slater, Illustrator | Lila Greer, Teacher of the Year The Questioneers Chapter Book Series: Rosie Revere and the Raucous Riveters | Ada Twist and the Perilous Pants | Iggy Peck and the Mysterious Mansion | Sofia Valdez and the Vanishing Vote | Ada Twist and the Disappearing Dogs | Aaron Slater and the Sneaky Snake Questioneers: The Why Files Series: Exploring Flight! | All About Plants! | The Science of Baking | Bug Bonanza! | Rockin’ Robots! Questioneers: Ada Twist, Scientist Series: Ghost Busted | Show Me the Bunny | Ada Twist, Scientist: Brainstorm Book | 5-Minute Ada Twist, Scientist Stories The Questioneers Big Project Book Series: Iggy Peck’s Big Project Book for Amazing Architects | Rosie Revere’s Big Project Book for Bold Engineers | Ada Twist’s Big Project Book for Stellar Scientists | Sofia Valdez’s Big Project Book for Awesome Activists | Aaron Slater’s Big Project Book for Astonishing Artists |
| computer engineering crash course: But how Do it Know? J. Clark Scott, 2009 This book thoroughly explains how computers work. It starts by fully examining a NAND gate, then goes on to build every piece and part of a small, fully operational computer. The necessity and use of codes is presented in parallel with the apprioriate pieces of hardware. The book can be easily understood by anyone whether they have a technical background or not. It could be used as a textbook. |
| computer engineering crash course: Python Programming John M. Zelle, 2004 This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic. |
| computer engineering crash course: Learn to Code by Solving Problems Daniel Zingaro, 2021-06-29 Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer. |
| computer engineering crash course: The Complete Software Developer's Career Guide John Z. Sonmez, 2017 Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need soft skills like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal. Today John helps more than 1.4 million programmers every year to increase their income by developing this unique blend of skills. Who Should Read This Book? Entry-Level Developers - This book will show you how to ensure you have the technical skills your future boss is looking for, create a resume that leaps off a hiring manager's desk, and escape the no work experience trap. Mid-Career Developers - You'll see how to find and fill in gaps in your technical knowledge, position yourself as the one team member your boss can't live without, and turn those dreaded annual reviews into chance to make an iron-clad case for your salary bump. Senior Developers - This book will show you how to become a specialist who can command above-market wages, how building a name for yourself can make opportunities come to you, and how to decide whether consulting or entrepreneurship are paths you should pursue. Brand New Developers - In this book you'll discover what it's like to be a professional software developer, how to go from I know some code to possessing the skills to work on a development team, how to speed along your learning by avoiding common beginner traps, and how to decide whether you should invest in a programming degree or 'bootcamp.'-- |
| computer engineering crash course: Making Embedded Systems Elecia White, 2011-10-25 Interested in developing embedded systems? Since they donâ??t tolerate inefficiency, these systems require a disciplined approach to programming. This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements. Written by an expert whoâ??s created embedded systems ranging from urban surveillance and DNA scanners to childrenâ??s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. Optimize your system to reduce cost and increase performance Develop an architecture that makes your software robust in resource-constrained environments Explore sensors, motors, and other I/O devices Do more with less: reduce RAM consumption, code space, processor cycles, and power consumption Learn how to update embedded code directly in the processor Discover how to implement complex mathematics on small processors Understand what interviewers look for when you apply for an embedded systems job Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. Itâ??s very well writtenâ??entertaining, evenâ??and filled with clear illustrations. â??Jack Ganssle, author and embedded system expert. |
| computer engineering crash course: Machine Learning Crash Course for Engineers Eklas Hossain, 2023-12-26 Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly. |
| computer engineering crash course: Programming for Electrical Engineers James C. Squire, Julie Phillips Brown, 2020-07-08 Programming for Electrical Engineers: MATLAB and Spice introduces beginning engineering students to programming in Matlab and Spice through engaged, problem-based learning and dedicated electrical and computer engineering content. The book draws its problems and examples specifically from electrical and computer engineering, covering such topics as circuit analysis, signal processing, and filter design. It teaches relevant computational techniques in the context of solving common problems in electrical and computer engineering, including mesh and nodal analysis, Fourier transforms, and phasor analysis. Programming for Electrical Engineers: MATLAB and Spice is unique among MATLAB textbooks for its dual focus on introductory-level learning and discipline-specific content in electrical and computer engineering. No other textbook on the market currently targets this audience with the same attention to discipline-specific content and engaged learning practices. Although it is primarily an introduction to programming in MATLAB, the book also has a chapter on circuit simulation using Spice, and it includes materials required by ABET Accreditation reviews, such as information on ethics, professional development, and lifelong learning. - Discipline-specific: Introduces Electrical and Computer Engineering-specific topics, such as phasor analysis and complex exponentials, that are not covered in generic engineering Matlab texts - Accessible: Pedagogically appropriate for freshmen and sophomores with little or no prior programming experience - Scaffolded content: Addresses both script and functions but emphasizes the use of functions since scripts with non-scoped variables are less-commonly encountered after introductory courses - Problem-centric: Introduces MATLAB commands as needed to solve progressively more complex EE/ECE-specific problems, and includes over 100 embedded, in-chapter questions to check comprehension in stages and support active learning exercises in the classroom - Enrichment callouts: Pro Tip callouts cover common ABET topics, such as ethics and professional development, and Digging Deeper callouts provide optional, more detailed material for interested students |
| computer engineering crash course: Digital Design and Computer Architecture David Harris, Sarah Harris, 2012-08-24 Digital Design and Computer Architecture, Second Edition, takes a unique and modern approach to digital design, introducing the reader to the fundamentals of digital logic and then showing step by step how to build a MIPS microprocessor in both Verilog and VHDL. This new edition combines an engaging and humorous writing style with an updated and hands-on approach to digital design. It presents new content on I/O systems in the context of general purpose processors found in a PC as well as microcontrollers found almost everywhere. Beginning with digital logic gates and progressing to the design of combinational and sequential circuits, the book uses these fundamental building blocks as the basis for the design of an actual MIPS processor. It provides practical examples of how to interface with peripherals using RS232, SPI, motor control, interrupts, wireless, and analog-to-digital conversion. SystemVerilog and VHDL are integrated throughout the text in examples illustrating the methods and techniques for CAD-based circuit design. There are also additional exercises and new examples of parallel and advanced architectures, practical I/O applications, embedded systems, and heterogeneous computing, plus a new appendix on C programming to strengthen the connection between programming and processor architecture. This new edition will appeal to professional computer engineers and to students taking a course that combines digital logic and computer architecture. - Updated based on instructor feedback with more exercises and new examples of parallel and advanced architectures, practical I/O applications, embedded systems, and heterogeneous computing - Presents digital system design examples in both VHDL and SystemVerilog (updated for the second edition from Verilog), shown side-by-side to compare and contrast their strengths - Includes a new chapter on C programming to provide necessary prerequisites and strengthen the connection between programming and processor architecture - Companion Web site includes links to Xilinx CAD tools for FPGA design, lecture slides, laboratory projects, and solutions to exercises - Instructors can also register at textbooks.elsevier.com for access to: Solutions to all exercises (PDF), Lab materials with solutions, HDL for textbook examples and exercise solutions, Lecture slides (PPT), Sample exams, Sample course syllabus, Figures from the text (JPG, PPT) |
| computer engineering crash course: MATLAB and Simulink Crash Course for Engineers Eklas Hossain, 2022-03-07 MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MATLAB and Simulink. The book provides readers with real-world examples, exercises, and applications, and offers highly illustrated, step-by-step demonstrations of techniques for the modelling and simulation of complex systems. MATLAB coverage includes vectors and matrices, programs and functions, complex numbers, visualization, solving equations, numerical methods, optimization problems, and graphical user interfaces. The Simulink coverage includes commonly used Simulink blocks, control system simulation, electrical circuit analysis, electric power systems, power electronics, and renewable energy technology. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of MATLAB and Simulink. |
| computer engineering crash course: AI Crash Course Hadelin de Ponteves, 2019-11-29 Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level). |
| computer engineering crash course: The Computer Engineering Handbook Vojin G. Oklobdzija, 2001-12-26 There is arguably no field in greater need of a comprehensive handbook than computer engineering. The unparalleled rate of technological advancement, the explosion of computer applications, and the now-in-progress migration to a wireless world have made it difficult for engineers to keep up with all the developments in specialties outside their own |
| computer engineering crash course: Model-Driven Software Engineering in Practice Marco Brambilla, Jordi Cabot, Manuel Wimmer, 2017-03-30 This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios, and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The second edition of the book features: a set of completely new topics, including: full example of the creation of a new modeling language (IFML), discussion of modeling issues and approaches in specific domains, like business process modeling, user interaction modeling, and enterprise architecture complete revision of examples, figures, and text, for improving readability, understandability, and coherence better formulation of definitions, dependencies between concepts and ideas addition of a complete index of book content In addition to the contents of the book, more resources are provided on the book's website http://www.mdse-book.com, including the examples presented in the book. |
| computer engineering crash course: 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 engineering crash course: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| computer engineering crash course: 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 engineering crash course: Discrete Mathematics for Computer Science Gary Haggard, John Schlipf, Sue Whitesides, 2006 Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career. |
| computer engineering crash course: 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 engineering crash course: Convex Optimization Stephen P. Boyd, Lieven Vandenberghe, 2004-03-08 Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics. |
| computer engineering crash course: Computer Programming Michail Kölling, Coding Hood, 2021-01-04 When you start programming from scratch, you are faced with a difficult choice: which language to choose? What is the best language to start programming? Imagine learning to program in a language only to discover that it is not used by companies, or that it is in great demand, but not what you were planning to do. Maybe you dreamed of developing smartphone applications and instead you find yourself building websites! Wouldn't you like to be able to choose your first programming language having all this information at your disposal? This complete and exhaustive Manual will guide you in the computer programming world, introducing you to the best programs that will be useful also for developing your career, even if you are an absolute beginner. In this book you will: - Learn Python and understand why it has consistently ranked in the top ten most popular programming languages. You will be able to master it at its best, as required by the business market today, no career will be precluded if you know this extraordinary computer programming. - Understand How to Manipulate Data with SQL to query and modify database data. You will learn how to insert, update, and delete records from tables using SQL statements - Be Able To Create Games or Apps with CC+ or C#, to get the perfect coding skills to develop the video game of your dreams, both for your own entertainment or making some money out of it - Discover How To Use Raspberry PI, the tiny computer that allows you to harness tech skills and let imaginations run wild. It enables people of all ages to explore computing and to learn how to program in languages like Scratch and Python. - Have the Chance to Practice What You Learn with many examples and exercises of projects and codes with step-by-step explanations accompanied by illustrative images and tables. - ... & Lot More! Deciding which computer programming language to learn isn't quite so straightforward; it all depends on what your goal is, what task you want to achieve, or what problem you need to solve. It may be more beneficial for your career to learn one of the dreaded computer programming languages, as you'll be more in demand. You can find and learn all these dreaded computer programming languages in this definitive Crash Course that will make all of them easy to use and understand. You will get all the necessary skills to face the computer programming world at your best, even if you start from scratch, and will be so easy to do with this book in your hands that you will be asked yourself why you haven't start early! Don't keep on wasting your time... Order Your Copy Now and Start Coding Like a Pro! |
| computer engineering crash course: Telecommunications Crash Course, Third Edition Steven Shepard, 2014-07-06 COMPLETE COVERAGE OF THE LATEST TELECOMMUNICATIONS TECHNOLOGIES AND TRENDS Fully revised to address the convergence of the telecom, media, and technology (TMT) sectors, the new edition of this cutting-edge guide provides a comprehensive overview of the current telecom landscape. The book focuses on the interdependence of the IT infrastructure, multimedia content, and broadband transport network in today's hyper-connected mobile environment and discusses the importance of storing, delivering, analyzing, tracking, and monetizing content. Emerging telecom technologies are described in detail. This up-to-date resource is essential for TMT professionals, business decision-makers, marketing and sales staff, and students. Telecommunications Crash Course, Third Edition, covers: Standards and regulations Data communications protocols Telephony, VoIP, SS7, SIP, and IP PBX Premises technologies -- LANs, Gigabit Ethernet, WiFi, ZigBee, FireWire, Thunderbolt, and USB Content -- multimedia, video, and TV Fixed access technologies, including DSL, cable, DOCSIS 3.0, CMTS, and DSLAM Wireless access technologies such as CDMA, GSM, HSPA, LTE, Bluetooth, RFID, and satellite solutions Transport technologies -- frame relay, ATM, high-speed IP switching, optical networking, DWDM, channelized optics, and optical switching IP, IPv6, Multiprotocol Label Switching (MPLS), and IP networking IT, telecom, and media convergence Cloud technologies, data centers, analytics, big data, security, Dumb Terminal 2.0, Bring Your Own Device (BYOD), and other emerging topics |
| computer engineering crash course: 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 engineering crash course: Beyond the Basic Stuff with Python Al Sweigart, 2020-12-16 BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher |
| computer engineering crash course: Semantics Engineering with PLT Redex Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, 2009-07-10 The first comprehensive presentation of reduction semantics in one volume, and the first tool set for such forms of semantics. This text is the first comprehensive presentation of reduction semantics in one volume; it also introduces the first reliable and easy-to-use tool set for such forms of semantics. Software engineers have long known that automatic tool support is critical for rapid prototyping and modeling, and this book is addressed to the working semantics engineer (graduate student or professional language designer). The book comes with a prototyping tool suite to develop, explore, test, debug, and publish semantic models of programming languages. With PLT Redex, semanticists can formulate models as grammars and reduction models on their computers with the ease of paper and pencil. The text first presents a framework for the formulation of language models, focusing on equational calculi and abstract machines, then introduces PLT Redex, a suite of software tools for expressing these models as PLT Redex models. Finally, experts describe a range of models formulated in Redex. PLT Redex comes with the PLT Scheme implementation, available free at http://www.plt-scheme.org/. Readers can download the software and experiment with Redex as they work their way through the book. |
| computer engineering crash course: Computation Structures Stephen A. Ward, Robert H. Halstead, 1990 Computer Systems Organization -- general. |
| computer engineering crash course: The Parent's Crash Course in Career Planning Sharon Lynn Jones, Marcia B. Harris, 2007 From freshman orientation through senior year, this book addresses career planning: what parents and students should do. Learn about current career trends, job options, choosing a major and career, and conducting a job search to land a satisfying and rewarding job. |
| computer engineering crash course: Hardcore Programming for Mechanical Engineers Angel Sola Orbaiceta, 2021-06-22 Hardcore Programming for Mechanical Engineers is for intermediate programmers who want to write good applications that solve tough engineering problems – from scratch. This book will teach you how to solve engineering problems with Python. The “hardcore” approach means that you will learn to get the correct results by coding everything from scratch. Forget relying on third-party software – there are no shortcuts on the path to proficiency. Instead, using familiar concepts from linear algebra, geometry and physics, you’ll write your own libraries, draw your own primitives, and build your own applications. Author Angel Sola covers core programming techniques mechanical engineers need to know, with a focus on high-quality code and automated unit testing for error-free implementations. After basic primers on Python and using the command line, you’ll quickly develop a geometry toolbox, filling it with lines and shapes for diagramming problems. As your understanding grows chapter-by-chapter, you’ll create vector graphics and animations for dynamic simulations; you’ll code algorithms that can do complex numerical computations; and you’ll put all of this knowledge together to build a complete structural analysis application that solves a 2D truss problem – similar to the software projects conducted by real-world mechanical engineers. You'll learn: • How to use geometric primitives, like points and polygons, and implement matrices • Best practices for clean code, including unit testing, encapsulation, and expressive names • Processes for drawing images to the screen and creating animations inside Tkinter’s Canvas widget • How to write programs that read from a file, parse the data, and produce vector images • Numerical methods for solving large systems of linear equations, like the Cholesky decomposition algorithm |
| computer engineering crash course: Excel Crash Course for Engineers Eklas Hossain, 2021-03-31 Excel Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of Microsoft Excel in engineering. The book provides readers with real-world examples and exercises that are directly related to engineering, and offers highly illustrated, step-by-step demonstrations of techniques to solve and visualize engineering problems and situations. The book includes an introduction to MS Excel, along with in-depth coverage of graphing and charting, functions and formulae, Excel's Visual Basic for Applications (VBA) programming language, and engineering data analysis. This powerful tutorial is a great resource for students, engineers, and other busy technical professionals who need to quickly acquire a solid understanding of Excel. |
| computer engineering crash course: 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 engineering crash course: Practical Reverse Engineering Bruce Dang, Alexandre Gazet, Elias Bachaalany, 2014-02-03 Analyzing how hacks are done, so as to stop them in the future Reverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or design documents. Hackers are able to reverse engineer systems and exploit what they find with scary results. Now the good guys can use the same tools to thwart these threats. Practical Reverse Engineering goes under the hood of reverse engineering for security analysts, security engineers, and system programmers, so they can learn how to use these same processes to stop hackers in their tracks. The book covers x86, x64, and ARM (the first book to cover all three); Windows kernel-mode code rootkits and drivers; virtual machine protection techniques; and much more. Best of all, it offers a systematic approach to the material, with plenty of hands-on exercises and real-world examples. Offers a systematic approach to understanding reverse engineering, with hands-on exercises and real-world examples Covers x86, x64, and advanced RISC machine (ARM) architectures as well as deobfuscation and virtual machine protection techniques Provides special coverage of Windows kernel-mode code (rootkits/drivers), a topic not often covered elsewhere, and explains how to analyze drivers step by step Demystifies topics that have a steep learning curve Includes a bonus chapter on reverse engineering tools Practical Reverse Engineering: Using x86, x64, ARM, Windows Kernel, and Reversing Tools provides crucial, up-to-date guidance for a broad range of IT professionals. |
| computer engineering crash course: How Computers Really Work Matthew Justice, 2020-12-29 An approachable, hands-on guide to understanding how computers work, from low-level circuits to high-level code. How Computers Really Work is a hands-on guide to the computing ecosystem: everything from circuits to memory and clock signals, machine code, programming languages, operating systems, and the internet. But you won't just read about these concepts, you'll test your knowledge with exercises, and practice what you learn with 41 optional hands-on projects. Build digital circuits, craft a guessing game, convert decimal numbers to binary, examine virtual memory usage, run your own web server, and more. Explore concepts like how to: Think like a software engineer as you use data to describe a real world concept Use Ohm's and Kirchhoff's laws to analyze an electrical circuit Think like a computer as you practice binary addition and execute a program in your mind, step-by-step The book's projects will have you translate your learning into action, as you: Learn how to use a multimeter to measure resistance, current, and voltage Build a half adder to see how logical operations in hardware can be combined to perform useful functions Write a program in assembly language, then examine the resulting machine code Learn to use a debugger, disassemble code, and hack a program to change its behavior without changing the source code Use a port scanner to see which internet ports your computer has open Run your own server and get a solid crash course on how the web works And since a picture is worth a thousand bytes, chapters are filled with detailed diagrams and illustrations to help clarify technical complexities. Requirements: The projects require a variety of hardware - electronics projects need a breadboard, power supply, and various circuit components; software projects are performed on a Raspberry Pi. Appendix B contains a complete list. Even if you skip the projects, the book's major concepts are clearly presented in the main text. |
| computer engineering crash course: Mathematics for Machine Learning Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong, 2020-04-23 The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site. |
| computer engineering crash course: Think Python Allen B. Downey, 2015-12-02 If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, youâ??ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies |
Annotated User’s Guide Crash Course Computer Science
Software Engineering: Crash Course Computer Science #16, NASA Scientist Margaret Hamilton named the disciplinary tool set for computing and computers Software Engineering.
Crash Course - Computer Science Documentation - Read the …
Computer science is the study of the theory, experimentation, and engineering that ˓→form the basis for the design and use of computers.
Computer Science One
avors" of Computer Science I (one intended for Computer Science majors, one for Computer Engineering majors, one for non-CE engineering majors, one for humanities majors, etc.). The …
C Crash Course - MIT
Let's review the steps involved in building a C program. This assumes that you have already designed the program and defined it using the steps above. Build (compile and link) your …
Introduction to Computer Engineering - University of …
• Introduce you to concepts that students in the Computer Engineering degree program learn in depth over four years • Prepare and motivate you for study in this degree program • Will count …
crash course in theoretical computer science - Oregon State …
crash course in theoretical computer science Glencora Borradaile Oregon State University eecs.orst.edu/~glencora/other/tcscrashcourse.pdf theoretical computer science = complexity …
A crash course in C - University of Texas at Austin
• A: CRASH! (Usually politely called an access violation or a segfault.) • Actually, that’s the easy case. It may accidentally seem to work fine some of the time, only to break something else. • …
Introduction to Computer Engineering Chapter 1
All computers, given enough time and memory, are capable of computing exactly the same things. Every computation can be performed by some Turing machine. (Turing’s thesis) Goal: Find a …
Computer Architecture - Crash course - Uppsala University
“For high-performance computing (HPC) applications, multicore processors introduces an additional layer of complexity, which will force users to go through change in how they address …
COS 318: Operating Systems Introduction - Princeton University
lCOS475: Computer Architecture uCourses requiring or recommending COS318 as prerequisite lCOS 418: Distributed Systems lCOS 461: Computer Networks lCOS 518: Advanced Operating …
Fundamentals Of Computer Networking And Internetworking
Computer networks and internets: an overview of concepts, terminology, and technologies that form the basis for digital communication in individual networks and the global Internet …
About the course Computer Science - mindluster.com
Discrete mathematics, linear algebra, number theory, and graph theory are the math courses most relevant to the computer science profession. Different corners of the profession, from …
crash course in theoretical computer science
crash course in theoretical computer science Glencora Borradaile Oregon State University eecs.orst.edu/~glencora/other/tcscrashcourse.pdf theoretical computer science = complexity …
Introduction to Computer Engineering - Charlotte
At the lowest level, a computer is an electronic machine. Could base state on value of voltage, but control and detection circuits more complex. We’ll see examples of these circuits in later …
A Crash Course in x86 Assembly for Reverse Engineers
EBP and ESP should be avoided as much as possible, as using them without saving and restoring their original values means the functions stack frame will be messed up and the …
CS 4350: Fundamentals of Software Engineering CS 5500: …
What is software engineering? •Software Engineering encompasses the tools and processes that we use to design, construct and maintain programs over time. 4
Software Engineering for Systems Engineers - WorldComp …
At the request of our Department of Industrial and System Engineering, the authors have developed a course for System Engineers that are going to participate in the design of cyber …
ECE/CS 3700: Fundamentals of Digital System Design
teaches basic electrical and computer engineering concepts along with electrical engineering design, application of mathematical optimization concepts, and use of state-of-the-art computer …
S.E. Sem. IV Crash Course - Prospectus - Vidyalankar Classes
S.E. Sem. IV Crash Course - Prospectus Author: Vidyalankar - Engineering Subject: S.E. Sem. IV Crash Course Keywords: S.E. Sem. IV Crash Course Created Date: 5/3/2022 10:11:54 AM
6.824 2006 Lecture 6: Crash Recovery for Disk File Systems
Critical for performance and crash recovery of individual machines. Interacts with distributed protocols, for both reasons. Crash recovery techniques similar to those in distributed systems.
Annotated User’s Guide Crash Course Computer Science
Software Engineering: Crash Course Computer Science #16, NASA Scientist Margaret Hamilton named the disciplinary tool set for computing and computers Software Engineering.
Crash Course - Computer Science Documentation - Read the …
Computer science is the study of the theory, experimentation, and engineering that ˓→form the basis for the design and use of computers.
Computer Science One
avors" of Computer Science I (one intended for Computer Science majors, one for Computer Engineering majors, one for non-CE engineering majors, one for humanities majors, etc.). The …
C Crash Course - MIT
Let's review the steps involved in building a C program. This assumes that you have already designed the program and defined it using the steps above. Build (compile and link) your …
Introduction to Computer Engineering - University of …
• Introduce you to concepts that students in the Computer Engineering degree program learn in depth over four years • Prepare and motivate you for study in this degree program • Will count …
crash course in theoretical computer science - Oregon State …
crash course in theoretical computer science Glencora Borradaile Oregon State University eecs.orst.edu/~glencora/other/tcscrashcourse.pdf theoretical computer science = complexity …
A crash course in C - University of Texas at Austin
• A: CRASH! (Usually politely called an access violation or a segfault.) • Actually, that’s the easy case. It may accidentally seem to work fine some of the time, only to break something else. • …
Introduction to Computer Engineering Chapter 1
All computers, given enough time and memory, are capable of computing exactly the same things. Every computation can be performed by some Turing machine. (Turing’s thesis) Goal: Find a …
Computer Architecture - Crash course - Uppsala University
“For high-performance computing (HPC) applications, multicore processors introduces an additional layer of complexity, which will force users to go through change in how they address …
COS 318: Operating Systems Introduction - Princeton …
lCOS475: Computer Architecture uCourses requiring or recommending COS318 as prerequisite lCOS 418: Distributed Systems lCOS 461: Computer Networks lCOS 518: Advanced …
Fundamentals Of Computer Networking And Internetworking …
Computer networks and internets: an overview of concepts, terminology, and technologies that form the basis for digital communication in individual networks and the global Internet …
About the course Computer Science - mindluster.com
Discrete mathematics, linear algebra, number theory, and graph theory are the math courses most relevant to the computer science profession. Different corners of the profession, from …
crash course in theoretical computer science
crash course in theoretical computer science Glencora Borradaile Oregon State University eecs.orst.edu/~glencora/other/tcscrashcourse.pdf theoretical computer science = complexity …
Introduction to Computer Engineering - Charlotte
At the lowest level, a computer is an electronic machine. Could base state on value of voltage, but control and detection circuits more complex. We’ll see examples of these circuits in later …
A Crash Course in x86 Assembly for Reverse Engineers
EBP and ESP should be avoided as much as possible, as using them without saving and restoring their original values means the functions stack frame will be messed up and the …
CS 4350: Fundamentals of Software Engineering CS 5500: …
What is software engineering? •Software Engineering encompasses the tools and processes that we use to design, construct and maintain programs over time. 4
Software Engineering for Systems Engineers - WorldComp …
At the request of our Department of Industrial and System Engineering, the authors have developed a course for System Engineers that are going to participate in the design of cyber …
ECE/CS 3700: Fundamentals of Digital System Design
teaches basic electrical and computer engineering concepts along with electrical engineering design, application of mathematical optimization concepts, and use of state-of-the-art …
S.E. Sem. IV Crash Course - Prospectus - Vidyalankar Classes
S.E. Sem. IV Crash Course - Prospectus Author: Vidyalankar - Engineering Subject: S.E. Sem. IV Crash Course Keywords: S.E. Sem. IV Crash Course Created Date: 5/3/2022 10:11:54 AM
6.824 2006 Lecture 6: Crash Recovery for Disk File Systems
Critical for performance and crash recovery of individual machines. Interacts with distributed protocols, for both reasons. Crash recovery techniques similar to those in distributed systems.
