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| associate of computer science: 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. |
| associate of computer science: Computer Science Programming Basics in Ruby Ophir Frieder, Gideon Frieder, David Grossman, 2013-04-18 If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. Learn how to write algorithms to solve real-world problems Understand the basics of computer architecture Examine the basic tools of a programming language Explore sequential, conditional, and loop programming structures Understand how the array data structure organizes storage Use searching techniques and comparison-based sorting algorithms Learn about objects, including how to build your own Discover how objects can be created from other objects Manipulate files and use their data in your software |
| associate of computer science: Discovering Computer Science Jessen Havill, 2020-10-12 Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. -- James Deverick, Senior Lecturer, The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration. |
| associate of computer science: Problems with a Point William I. Gasarch, Clyde Kruskal, 2018 Ever notice how people sometimes use math words inaccurately? Or how sometimes you instinctively know a math statement is false (or not known)? Each chapter of this book makes a point like those above and then illustrates the point by doing some real mathematics through step-by-step mathematical techniques. This book gives readers valuable information about how mathematics and theoretical computer science work, while teaching them some actual mathematics and computer science through examples and exercises. Much of the mathematics could be understood by a bright high school student. The points made can be understood by anyone with an interest in math, from the bright high school student to a Field's medal winner.-- |
| associate of computer science: White Awareness Judy H. Katz, 1978 Stage 1. |
| associate of computer science: 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. |
| associate of computer science: Recommendations and Guidelines for an Associate Level Degree Program in Computer Programming , 1981 |
| associate of computer science: Java Programming Fundamentals Premchand S. Nair, 2008-11-20 While Java texts are plentiful, it's difficult to find one that takes a real-world approach, and encourages novice programmers to build on their Java skills through practical exercise. Written by an expert with 19 experience teaching computer programming, Java Programming Fundamentals presents object-oriented programming by employing examples taken |
| associate of computer science: Information Storage and Management EMC Education Services, 2012-04-30 The new edition of a bestseller, now revised and update throughout! This new edition of the unparalleled bestseller serves as a full training course all in one and as the world's largest data storage company, EMC is the ideal author for such a critical resource. They cover the components of a storage system and the different storage system models while also offering essential new material that explores the advances in existing technologies and the emergence of the Cloud as well as updates and vital information on new technologies. Features a separate section on emerging area of cloud computing Covers new technologies such as: data de-duplication, unified storage, continuous data protection technology, virtual provisioning, FCoE, flash drives, storage tiering, big data, and more Details storage models such as Network Attached Storage (NAS), Storage Area Network (SAN), Object Based Storage along with virtualization at various infrastructure components Explores Business Continuity and Security in physical and virtualized environment Includes an enhanced Appendix for additional information This authoritative guide is essential for getting up to speed on the newest advances in information storage and management. |
| associate of computer science: Software Engineering and Development Enrique A. Belini, 2009 Software engineering is one of the most knowledge intensive jobs. Thus, having a good knowledge management (KM) strategy in these organisations is very important. This book examines software processes from a knowledge perspective flow, in order to identify the particular knowledge needs of such processes to then be in a better position for proposing systems or strategies to address those needs. Its possible benefits are illustrated through the results of a study in a software maintenance process within a small software organisation. Furthermore, software product line architecture is regarded as one of the crucial piece of entity in software product lines. The authors of this book discuss the state of the art of software product line engineering from the perspectives of business, architecture, process and organisation. In recent years, domain-specific languages have been proposed for modelling applications on a high level of abstraction. Although the usage of domain-specific languages offers clear advantages, their design is a highly complex task. This book presents a pragmatic way for designing and using domain-specific languages. Other chapters in this book examine the development of numerical methodologies for inverse determination of material constitutive model parameters, discuss some of the reasons for the irrelevancy of software engineering to the robotic community, review the evolution of robotic software over time, and propose the use of Ant Colony Optimisation, a kind of metaheuristic algorithm, to find general property violations in concurrent systems using a explicit state model checker. |
| associate of computer science: Regents' Proceedings University of Michigan. Board of Regents, 1987 |
| associate of computer science: 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. |
| associate of computer science: 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. |
| associate of computer science: A Computational Approach to Statistical Learning Taylor Arnold, Michael Kane, Bryan W. Lewis, 2019-01-23 A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs. |
| associate of computer science: Database Systems: Design and Management Camila Thompson, 2021-11-16 A database refers to systematic collection of data which is stored and can be accessed electronically. The software system that allows users to create, define and maintain this database is known as database management system. It collectively defines database, database model and database management system. It is used to manage internal operations of organizations and determine online interactions with suppliers and customers. They are categorized on the basis of the database model they support, the types of systems they run on, the language used to access it and on their internal engineering. The different types of databases are in-memory database, cloud database, deductive database, document-oriented database, federated database system, active database and data warehouses. Database systems are used in areas such as flight reservation systems, content management systems, library systems and computerized parts inventory systems. The topics covered in this extensive book deal with the core concepts related to database systems. Such selected concepts that redefine this discipline have been presented herein. The book is appropriate for those seeking detailed information in this area. |
| associate of computer science: The Art of Proving Binomial Identities Michael Z. Spivey, 2019-05-10 The book has two goals: (1) Provide a unified treatment of the binomial coefficients, and (2) Bring together much of the undergraduate mathematics curriculum via one theme (the binomial coefficients). The binomial coefficients arise in a variety of areas of mathematics: combinatorics, of course, but also basic algebra (binomial theorem), infinite series (Newton’s binomial series), differentiation (Leibniz’s generalized product rule), special functions (the beta and gamma functions), probability, statistics, number theory, finite difference calculus, algorithm analysis, and even statistical mechanics. |
| associate of computer science: Recommendations and Guidelines for an Associate Level Degree Program in Computer Programming Joyce Currie Little, 1981-01-01 |
| associate of computer science: Cyber Security and IT Infrastructure Protection John R. Vacca, 2013-08-22 This book serves as a security practitioner's guide to today's most crucial issues in cyber security and IT infrastructure. It offers in-depth coverage of theory, technology, and practice as they relate to established technologies as well as recent advancements. It explores practical solutions to a wide range of cyber-physical and IT infrastructure protection issues. Composed of 11 chapters contributed by leading experts in their fields, this highly useful book covers disaster recovery, biometrics, homeland security, cyber warfare, cyber security, national infrastructure security, access controls, vulnerability assessments and audits, cryptography, and operational and organizational security, as well as an extensive glossary of security terms and acronyms. Written with instructors and students in mind, this book includes methods of analysis and problem-solving techniques through hands-on exercises and worked examples as well as questions and answers and the ability to implement practical solutions through real-life case studies. For example, the new format includes the following pedagogical elements: • Checklists throughout each chapter to gauge understanding • Chapter Review Questions/Exercises and Case Studies • Ancillaries: Solutions Manual; slide package; figure files This format will be attractive to universities and career schools as well as federal and state agencies, corporate security training programs, ASIS certification, etc. - Chapters by leaders in the field on theory and practice of cyber security and IT infrastructure protection, allowing the reader to develop a new level of technical expertise - Comprehensive and up-to-date coverage of cyber security issues allows the reader to remain current and fully informed from multiple viewpoints - Presents methods of analysis and problem-solving techniques, enhancing the reader's grasp of the material and ability to implement practical solutions |
| associate of computer science: Unlocking the Clubhouse Jane Margolis, Allan Fisher, 2003-02-28 Understanding and overcoming the gender gap in computer science education. The information technology revolution is transforming almost every aspect of society, but girls and women are largely out of the loop. Although women surf the Web in equal numbers to men and make a majority of online purchases, few are involved in the design and creation of new technology. It is mostly men whose perspectives and priorities inform the development of computing innovations and who reap the lion's share of the financial rewards. As only a small fraction of high school and college computer science students are female, the field is likely to remain a male clubhouse, absent major changes. In Unlocking the Clubhouse, social scientist Jane Margolis and computer scientist and educator Allan Fisher examine the many influences contributing to the gender gap in computing. The book is based on interviews with more than 100 computer science students of both sexes from Carnegie Mellon University, a major center of computer science research, over a period of four years, as well as classroom observations and conversations with hundreds of college and high school faculty. The interviews capture the dynamic details of the female computing experience, from the family computer kept in a brother's bedroom to women's feelings of alienation in college computing classes. The authors investigate the familial, educational, and institutional origins of the computing gender gap. They also describe educational reforms that have made a dramatic difference at Carnegie Mellon—where the percentage of women entering the School of Computer Science rose from 7% in 1995 to 42% in 2000—and at high schools around the country. |
| associate of computer science: Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook Workman Publishing, 2020-04-28 From the editors of Brain Quest, America’s #1 educational bestseller! This Big Fat Notebook makes it all “sink in” with key concepts, mnemonic devices, definitions, diagrams, and doodles to help you understand computer science. Including: Computing systems Binary code Algorithms Computational thinking Loops, events, and procedures Programming in Scratch and Python Boolean Expressions Web development Cybersecurity HTML CSS …and more! The Big Fat Notebook series is built on a simple and irresistible conceit—borrowing the notes from the smartest kid in class. Each book in the series meets Common Core State Standards, Next Generation Science Standards, and state history standards, and are vetted by National and State Teacher of the Year Award–winning teachers. They make learning fun and are the perfect next step for every kid who grew up on Brain Quest. |
| associate of computer science: 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. |
| associate of computer science: 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-- |
| associate of computer science: Cisco CCNA Routing and Switching 200-120 Official Cert Guide Library Wendell Odom, 2013 Cisco Press is the official publisher for the New CCENT & CCNA Routing and Switching Certifications. The New Edition of the Best-Selling two-book value priced CCNA Official Cert Guide Library includes Updated Content, New Exercises, 8 Practice Exams, and 150 Minutes of Video Training -- PLUS the CCENT and CCNA Network Simulator Lite Editions with 26 Free Network Simulator Labs. CCNA 200-120 Official Cert Guide Library is a comprehensive review and package for the latest CCNA exams. The two books contained in this package, CCENT / CCNA ICND1 100-101 Official Cert Guide and CCNA ICND2 200-101 Official Cert Guide, present complete reviews and a more challenging and realistic preparation experience. The books have been fully updated to refresh the content for the latest CCNA exam topics and enhance certain key topics that are critical for exam success. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills. These official study guides help you master all the topics on the CCNA exams, including: Networking fundamentals Ethernet LANs and switches IPv4 addressing and subnetting Operating Cisco routers Configuring OSPF ACLs and NAT IPv6 fundamentals, implementation, and troubleshooting LAN switching IPv4 routing VPNs OSPF and EIGRP configuration and troubleshooting Wide area networks and Frame Relay Network management Well regarded for its level of detail, study plans, assessment features, challenging review questions and exercises, video instruction, and hands-on labs, these official study guides help you master the concepts and techniques that ensure your exam success. CCNA 200-120 Official Cert Guide Library is part of a recommended learning path from Cisco that includes simulation and hands-on training from authorized Cisco Learning Partners and self-study products from Cisco Press. 1587143879 / 9781587143878 CCNA Routing and Switching 200-120 Official Cert Guide Library 1/e Package consists of: 0131357549 / 9780131357549 TWO INCH MYLAR CLEAR WAFER SEAL 0133372006 / 9780133372007 Empty Slipcase for Exam 29 Cert Library 1587143739 / 9781587143731 CCNA Routing and Switching ICND2 200-101 Official Cert Guide 1587143852 / 9781587143854 CCENT/CCNA ICND1 100-101 Official Cert Guide |
| associate of computer science: A to Z of Computer Scientists Harry Henderson, 2014-05-14 Profiles more than 100 scientists from around the world who made important contributions to the study of computer science, including Howard Aiken, Steve Case, Steve Jobs, and Ted Nelson. |
| associate of computer science: Python for Programmers Paul Deitel, Harvey Deitel, 2019-03-15 The professional programmer’s Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python–one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details. In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, SparkTM and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google TranslateTM, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more. Features 500+ hands-on, real-world, live-code examples from snippets to case studies IPython + code in Jupyter® Notebooks Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions Procedural, functional-style and object-oriented programming Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames Static, dynamic and interactive visualizations Data experiences with real-world datasets and data sources Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® WatsonTM, machine learning, deep learning, computer vision, Hadoop®, SparkTM, NoSQL, IoT Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more Accompanying code examples are available here: http://ptgmedia.pearsoncmg.com/imprint_downloads/informit/bookreg/9780135224335/9780135224335_examples.zip. Register your product for convenient access to downloads, updates, and/or corrections as they become available. See inside book for more information. |
| associate of computer science: (Re)Defining the Goal Kevin J. Fleming, Ph.d., Ph D Kevin J Fleming, 2016-07-02 How is it possible that both university graduates and unfilled job openings are both at record-breaking highs? Our world has changed. New and emerging occupations in every industry now require a combination of academic knowledge and technical ability. With rising education costs, mounting student debt, fierce competition for jobs, and the oversaturation of some academic majors in the workforce, we need to once again guide students towards personality-aligned careers and not just into college. Extensively researched, (Re)Defining the Goal deconstructs the prevalent one-size-fits-all education agenda. The author provides a fresh perspective, replicable strategies, and outlines six proven steps to help students secure a competitive advantage in the new economy. Gain a new paradigm and the right resources to help students avoid the pitfalls of unemployment, or underemployment, after graduation. |
| associate of computer science: The Product Manager Interview Lewis C. Lin, 2017-11-06 NOTE: This is the NEWER 3rd edition for the book formerly titled PM Interview Questions. -- 164 Actual PM Interview Questions From the creator of the CIRCLES Method(TM), The Product Manager Interview is a resource you don't want to miss. The world's expert in product management interviews, Lewis C. Lin, gives readers 164 practice questions to gain product management (PM) proficiency and master the PM interview including: Google Facebook Amazon Uber Dropbox Microsoft Fully Solved Solutions The book contains fully solved solutions so readers can learn, improve and do their best at the PM interview. Here are questions and sample answers you'll find in the book: Product Design How would you design an ATM for elderly people? Should Google build a Comcast-like TV cable service? Instagram currently supports 3 to 15 second videos. We're considering supporting videos of unlimited length. How would you modify the UX to accommodate this? Pricing How would you go about pricing UberX or any other new Uber product? Let's say Google created a teleporting device: which market segments would you go after? How would you price it? Metrics Imagine you are the Amazon Web Services (AWS) PM in Sydney. What are the top three metrics you'd look at? Facebook users have declined 20 percent week over week. Diagnose the problem. How would you fix the issue? Ideal Complement to Decode and Conquer Many of you have read the PM interview frameworks revealed in Decode and Conquer, including the CIRCLES(TM), AARM(TM) and DIGS(TM) Methods. The Product Manager Interview is the perfect complement to Decode and Conquer. With over 160 practice questions, you'll see what the best PM interview responses look and feel like. Brand New Third Edition Many of the sample answers have been re-written from scratch. The sample answers are now stronger and easier to follow. In total, thousands of changes have made in this brand new third edition of the book. Preferred by the World's Top Universities Here's what students and staff have to say about the Lewis C. Lin: DUKE UNIVERSITY I was so touched by your presentation this morning. It was really helpful. UNIVERSITY OF MICHIGAN I can say your class is the best that I have ever attended. I will definitely use knowledge I learned today for future interviews. COLUMBIA UNIVERSITY I'd like to let you know that your workshop today is super awesome! It's the best workshop I have been to since I came to Columbia Business School. Thank you very much for the tips, frameworks, and the very clear and well-structured instruction! UNIVERSITY OF TEXAS AT AUSTIN I wanted to reiterate how much I enjoyed your workshops today. Thank you so much for taking time out and teaching us about these much-needed principles and frameworks. I actually plan to print out a few slides and paste them on my walls! CARNEGIE MELLON UNIVERSITY I'm a very big admirer of your work. We, at Tepper, follow your books like the Bible. As a former associate product manager, I was able to connect your concepts back to my work experience back and Pragmatic Marketing training. I'm really looking forward to apply your teachings. |
| associate of computer science: Computer Science Education Sue Sentance, Erik Barendsen, Nicol R. Howard, Carsten Schulte, 2023-02-23 Drawing together the most up-to-date research from experts all across the world, the second edition of Computer Science Education offers the most up-to-date coverage available on this developing subject, ideal for building confidence of new pre-service and in-service educators teaching a new discipline. It provides an international overview of key concepts, pedagogical approaches and assessment practices. Highlights of the second edition include: - New sections on machine learning and data-driven (epistemic) programming - A new focus on equity and inclusion in computer science education - Chapters updated throughout, including a revised chapter on relating ethical and societal aspects to knowledge-rich aspects of computer science education - A new set of chapters on the learning of programming, including design, pedagogy and misconceptions - A chapter on the way we use language in the computer science classroom. The book is structured to support the reader with chapter outlines, synopses and key points. Explanations of key concepts, real-life examples and reflective points keep the theory grounded in classroom practice. The book is accompanied by a companion website, including online summaries for each chapter, 3-minute video summaries by each author and an archived chapter on taxonomies and competencies from the first edition. |
| associate of computer science: Core C++ Victor Shtern, 2000 This book is designed to teach new or experienced C++ programmers the principles of the C++ programming language--with an emphasis on the fundamentals of object-oriented programing, software engineering, and maintenance. The book progresses from simple language constructs and programming constructs to more complex, stressing the choices that the programmer can make and explaining criteria for arriving at high quality programs. |
| associate of computer science: Agent Supported Cooperative Work Yiming Ye, E. Churchill, 2012-12-06 Improvements in computer networking have heralded great expectations for computer-mediated distributed work. However, experience has revealed that, as information flow improves, a central problem for distributed workers is the administration, management and control of that information. Research into Computer Supported Cooperative Work (CSCW) investigates design methods and technologies for the support of collaboration, communication and coordination of distributed group work, both within and among organizations. In tandem with this focus on the support of distributed communication and collaboration, there have been exciting developments in the fields of Intelligent Agents and Distributed Artificial Intelligence (DAI), notably in the concepts, theories and deployment of intelligent agents as a means of distributing computer-based problem solving expertise. The paradigm of multi-agent systems forms a proposed basis for the design of CSCW architectures, the support of CSCW operations and for addressing some of the problems of cooperative working. The application of a multi-agent approach to CSCW makes information exchange among the participants easier by delivering support to the participants, assisting workflows and procedures, and providing convenient user interfaces to CSCW systems. Furthermore, the ideas inherent in such an approach are also applicable to other domains, such as support for interactive learning. Organizations that seek to exploit the advantages offered through CSCW will benefit from the integration of agents in the management and use of their corporate knowledge, especially with the advancement of wired or wireless networking, pervasive computing, and other information technologies. Agent Supported Cooperative Work describes the state of the art in this exciting new area, covering both theoretical foundations and practical applications of ASCW. It is the first book explicitly dedicated to ASCW, bringing together contributions from international experts in the field. |
| associate of computer science: Proceedings of the Board of Regents University of Michigan. Board of Regents, |
| associate of computer science: New Information Technology Alan Burns, 1984 |
| associate of computer science: Principles of Math 12 Castle Rock Research Corp, 2007-01-01 |
| associate of computer science: Software Engineering Education Lionel E. Deimel, 1990-04-06 |
| associate of computer science: Occupational Outlook Quarterly , 2002 |
| associate of computer science: Enterprise Management Strategies in the Era of Cloud Computing Rao, N. Raghavendra, 2015-04-30 Recent advances in internet architecture have led to the advent and subsequent explosion of cloud computing technologies, providing businesses with a powerful toolbox of collaborative digital resources. These technologies have fostered a more flexible, decentralized approach to IT infrastructure, enabling businesses to operate in a more agile fashion and on a globalized scale. Enterprise Management Strategies in the Era of Cloud Computing seeks to explore the possibilities of business in the cloud. Targeting an audience of research scholars, students, software developers, and business professionals, this premier reference source provides a cutting-edge look at the exciting and multifaceted relationships between cloud computing, software virtualization, collaborative technology, and business infrastructure in the 21st Century. |
| associate of computer science: IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks Rao, Ram Shringar, Jain, Vishal, Kaiwartya, Omprakash, Singh, Nanhay, 2020-03-20 The optimization of traffic management operations has become a considerable challenge in today’s global scope due to the significant increase in the number of vehicles, traffic congestions, and automobile accidents. Fortunately, there has been substantial progress in the application of intelligent computing devices to transportation processes. Vehicular ad-hoc networks (VANETs) are a specific practice that merges the connectivity of wireless technologies with smart vehicles. Despite its relevance, empirical research is lacking on the developments being made in VANETs and how certain intelligent technologies are being applied within transportation systems. IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks provides emerging research exploring the theoretical and practical aspects of intelligent transportation systems and analyzing the modern techniques that are being applied to smart vehicles through cloud technology. Featuring coverage on a broad range of topics such as health monitoring, node localization, and fault tolerance, this book is ideally designed for network designers, developers, analysists, IT specialists, computing professionals, researchers, academics, and post-graduate students seeking current research on emerging computing concepts and developments in vehicular ad-hoc networks. |
| associate of computer science: Encyclopedia of Computer Science and Technology Harry Henderson, 2009 Presents an illustrated A-Z encyclopedia containing approximately 600 entries on computer and technology related topics. |
| associate of computer science: Catalog Southwestern Indian Polytechnic Institute, 1996 |
| associate of computer science: Historically Black Colleges and Universities Fact Book: Public colleges , 1983 |
ASSOCIATE Definition & Meaning - Merriam-Webster
The meaning of ASSOCIATE is to join as a partner, friend, or companion. How to use associate in a sentence. Synonym Discussion of Associate.
ASSOCIATE | English meaning - Cambridge Dictionary
ASSOCIATE definition: 1. to connect someone or something in your mind with someone or something else: 2. someone who is…. Learn more.
What Does 'Associate' Mean in a Job Title? (Jobs and Salary)
Jun 5, 2025 · The term 'associate' in a job title implies a lower ranking position than other roles without the title, but with comparable job functions to assistant roles. Associate roles exist in …
ASSOCIATE Definition & Meaning - Dictionary.com
Associate definition: to connect or bring into relation, as thought, feeling, memory, etc... See examples of ASSOCIATE used in a sentence.
ASSOCIATE - Definition & Translations | Collins English Dictionary
Associate is used before a rank or title to indicate a slightly different or lower rank or title. If you associate someone or something with another thing, the two are connected in your mind.
What does associate mean? - Definitions.net
What does associate mean? This dictionary definitions page includes all the possible meanings, example usage and translations of the word associate. A person united with another or others …
Associate - definition of associate by The Free Dictionary
1. (tr) to link or connect in the mind or imagination: to associate Christmas with fun. 2. (intr) to keep company; mix socially: to associate with writers. 4. (tr; usually passive) to consider in …
Associate - Definition, Meaning & Synonyms - Vocabulary.com
As a noun, in employment, an associate is someone who is in a junior position. You might hear about associates at law firms, hoping to make partner one day. However, some companies …
Associate Definition & Meaning | Britannica Dictionary
ASSOCIATE meaning: 1 : to think of one person or thing when you think of another person or thing usually + with; 2 : to be together with another person or group as friends, partners, etc.
associate | meaning of associate in Longman Dictionary of …
associate meaning, definition, what is associate: to make a connection in your mind betwee...: Learn more.
ASSOCIATE Definition & Meaning - Merriam-Webster
The meaning of ASSOCIATE is to join as a partner, friend, or companion. How to use associate in a sentence. Synonym Discussion of Associate.
ASSOCIATE | English meaning - Cambridge Dictionary
ASSOCIATE definition: 1. to connect someone or something in your mind with someone or something else: 2. …
What Does 'Associate' Mean in a Job Title? (Jobs and Salary)
Jun 5, 2025 · The term 'associate' in a job title implies a lower ranking position than other roles without the title, but with comparable job …
ASSOCIATE Definition & Meaning - Dictionary.com
Associate definition: to connect or bring into relation, as thought, feeling, memory, etc... See examples of ASSOCIATE used in a sentence.
ASSOCIATE - Definition & Translations | Collins English …
Associate is used before a rank or title to indicate a slightly different or lower rank or title. If you associate someone or something with another thing, the …
