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| computer science elevator pitch: Developer Hegemony Erik Dietrich, It’s been said that software is eating the planet. The modern economy—the world itself—relies on technology. Demand for the people who can produce it far outweighs the supply. So why do developers occupy largely subordinate roles in the corporate structure? Developer Hegemony explores the past, present, and future of the corporation and what it means for developers. While it outlines problems with the modern corporate structure, it’s ultimately a play-by-play of how to leave the corporate carnival and control your own destiny. And it’s an emboldening, specific vision of what software development looks like in the world of developer hegemony—one where developers band together into partner firms of “efficiencers,” finally able to command the pay, respect, and freedom that’s earned by solving problems no one else can. Developers, if you grow tired of being treated like geeks who can only be trusted to take orders and churn out code, consider this your call to arms. Bring about the autonomous future that’s rightfully yours. It’s time for developer hegemony. |
| computer science elevator pitch: All Work, No Pay Lauren Berger, 2012-01-03 Land Killer Internships—and Make the Most of Them! These days, a college resume without internship experience is considered “naked.” Indeed, statistics show that internship experience leads to more job offers with highersalaries—and in this tough economy, college grads need all the help they can get. Enter Lauren Berger, internships expert and CEO of Intern Queen, Inc., whose comprehensive guide reveals insider secrets to scoring the perfect internship, building invaluable connections, boosting transferable skills, and ultimately moving toward your dream career. She’ll show you how to: Discover the best internship opportunities, from big companies to virtual internships Write effective resumes and cover letters Nail phone, Skype, and in-person interviews Know your rights as an intern Use social networking to your advantage Network like a pro Impress your boss Get solid letters of recommendation Turn internships into job opportunities With exercises, examples, and a go-getter attitude, this next-generation internship manual provides all the cutting-edge information students and recent grads will need to get a competitive edge in the job market. So what are you waiting for? |
| computer science elevator pitch: Preparing Pre-Service Teachers to Teach Computer Science Aman Yadav, Chrystalla Mouza, Anne Ottenbreit-Leftwich, 2021-05-01 Computer science has emerged as a key driver of innovation in the 21st century. Yet preparing teachers to teach computer science or integrate computer science content into K-12 curricula remains an enormous challenge. Recent policy reports have suggested the need to prepare future teachers to teach computer science through pre-service teacher education programs. In order to prepare a generation of teachers who are capable of delivering computer science to students, however, the field must identify research-based examples, pedagogical strategies, and policies that can facilitate changes in teacher knowledge and practices. The purpose of this book is to provide examples that could help guide the design and delivery of effective teacher preparation on the teaching of computer science. This book identifies promising pathways, pedagogical strategies, and policies that will help teacher education faculty and pre-service teachers infuse computer science content into their curricula as well as teach stand-alone computing courses. Specifically, the book focuses on pedagogical practices for developing and assessing pre-service teacher knowledge of computer science, course design models for pre-service teachers, and discussion of policies that can support the teaching of computer science. The primary audience of the book is students and faculty in educational technology, educational or cognitive psychology, learning theory, teacher education, curriculum and instruction, computer science, instructional systems, and learning sciences. |
| computer science elevator pitch: Advances in Computer, Communication and Computational Sciences Sanjiv K. Bhatia, Shailesh Tiwari, Su Ruidan, Munesh Chandra Trivedi, K. K. Mishra, 2020-10-27 This book discusses recent advances in computer and computational sciences from upcoming researchers and leading academics around the globe. It presents high-quality, peer-reviewed papers presented at the International Conference on Computer, Communication and Computational Sciences (IC4S 2019), which was held on 11—12 October 2019 in Bangkok. Covering a broad range of topics, including intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, the Web and informatics, it offers readers from the computer industry and academia key insights into how the advances in next-generation computer and communication technologies can be shaped into real-life applications. |
| computer science elevator pitch: Collaboration Technologies and Social Computing Patricia Santos, |
| computer science elevator pitch: Advances and Applications in Computer Science, Electronics and Industrial Engineering Jyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña, 2019-10-23 This book presents the proceedings of the Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2019), held in Ambato in October 2019, with participants from 13 countries and guest speakers from Chile, Colombia, France, Japan, Spain, Portugal, and United States. Featuring 23 peer-reviewed papers, it discusses topics such as the use of metaheuristic for non-deterministic problem solutions, software architectures for supporting e-government initiatives, and the use of electronics in e-learning and industrial environments. It also includes contributions illustrating how new approaches on these converging research areas are impacting the development of human societies around the world into Society 5.0. As such, it is a valuable resource for scholars and practitioners alike. |
| computer science elevator pitch: The Inevitable City Scott Cowen, Betsy Seifter, 2014-06-10 After seven years of service as the president of Tulane University, Scott Cowen watched the devastation of his beloved New Orleans at the hands of Hurricane Katrina. When federal, state, and city officials couldn't find their way to decisive action, Cowen, known for his gutsy leadership, quickly partnered with a coalition of civic, business, and nonprofit leaders looking to work around the old institutions to revitalize and transform New Orleans. This team led the charge to restore equilibrium and eventually to rebuild. For the past nine years, Cowen has continued this work, helping to bring the city of New Orleans back from the brink. The Inevitable City presents 10 principles that changed the game for this city, and, if adopted, can alter the curve for any business, endeavor, community—and perhaps even a nation.This is the story of the resurgence and reinvention of one of America's greatest cities. Ordinary citizens, empowered to actively rescue their own city after politicians and government officials failed them, have succeeded in rebuilding their world. Cowen was at the leading edge of those who articulated, shaped, and implemented a vision of transformative change that has yielded surprising social progress and economic growth: a drowned city identified with the shocking images of devastation and breakdown has transformed itself into a mecca of growth, opportunity, and hope. |
| computer science elevator pitch: Methodologies and Intelligent Systems for Technology Enhanced Learning, 13th International Conference Marcelo Milrad, Nuno Otero, María Cruz Sánchez‐Gómez, Juan José Mena, Dalila Durães, Filippo Sciarrone, Claudio Alvarez-Gómez, Manuel Rodrigues, Pierpaolo Vittorini, Rosella Gennari, Tania Di Mascio, Marco Temperini, Fernando De la Prieta, 2023-10-07 Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’23 promotes the interaction among the scientific community to discuss applications of Technology Enhanced Learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators. The 13th International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL’23) technical program includes 26 contributions (13 full papers and 13 short papers). mis4TEL’23 is hosted by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA and APPIA), and the sponsors (AIR Institute and Camara Municipal de Guimarães). |
| computer science elevator pitch: Houston, We Have a Narrative Randy Olson, 2015-09-15 Communicate more effectively about science—by taking a page from Hollywood and improving your storytelling skills. Ask a scientist about Hollywood, and you’ll probably get eye rolls. But ask someone in Hollywood about science, and they’ll see dollar signs: Moviemakers know that science can be the source of great stories, with all the drama and action that blockbusters require. That’s a huge mistake, says Randy Olson: Hollywood has a lot to teach scientists about how to tell a story—and, ultimately, how to do science better. With Houston, We Have a Narrative, he lays out a stunningly simple method for turning the dull into the dramatic. Drawing on his unique background, which saw him leave his job as a working scientist to launch a career as a filmmaker, Olson first diagnoses the problem: When scientists tell us about their work, they pile one moment and one detail atop another moment and another detail—a stultifying procession of “and, and, and.” What we need instead is an understanding of the basic elements of story, the narrative structures that our brains are all but hardwired to look for—which Olson boils down, brilliantly, to “And, But, Therefore,” or ABT. At a stroke, the ABT approach introduces momentum (“And”), conflict (“But”), and resolution (“Therefore”)—the fundamental building blocks of story. As Olson has shown by leading countless workshops worldwide, when scientists’ eyes are opened to ABT, the effect is staggering: suddenly, they’re not just talking about their work—they’re telling stories about it. And audiences are captivated. Written with an uncommon verve and enthusiasm, and built on principles that are applicable to fields far beyond science, Houston, We Have a Narrative has the power to transform the way science is understood and appreciated, and ultimately how it’s done. |
| computer science elevator pitch: The Formula Luke Dormehl, 2014 Previously published in the UK in 2014 by Virgin Books, an imprint of Ebury Publishing--Title page verso. |
| computer science elevator pitch: Data-Oriented Programming Yehonathan Sharvit, 2022-08-16 Eliminate the unavoidable complexity of object-oriented designs. The innovative data-oriented programming paradigm makes your systems less complex by making it simpler to access and manipulate data. In Data-Oriented Programming you will learn how to: Separate code from data Represent data with generic data structures Manipulate data with general-purpose functions Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data Benefit from polymorphism without objects Debug programs without a debugger Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you’ll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP. Best of all, the paradigm is language-agnostic—you’ll learn to write DOP code that can be implemented in JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like Java or C#. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Code that combines behavior and data, as is common in object-oriented designs, can introduce almost unmanageable complexity for state management. The Data-oriented programming (DOP) paradigm simplifies state management by holding application data in immutable generic data structures and then performing calculations using non-mutating general-purpose functions. Your applications are free of state-related bugs and your code is easier to understand and maintain. About the book Data-Oriented Programming teaches you to design software using the groundbreaking data-oriented paradigm. You’ll put DOP into action to design data models for business entities and implement a library management system that manages state without data mutation. The numerous diagrams, intuitive mind maps, and a unique conversational approach all help you get your head around these exciting new ideas. Every chapter has a lightbulb moment that will change the way you think about programming. What's inside Separate code from data Represent data with generic data structures Manage state without mutating data Control concurrency in highly scalable systems Write data-oriented unit tests Specify the shape of your data About the reader For programmers who have experience with a high-level programming language like JavaScript, Java, Python, C#, Clojure, or Ruby. About the author Yehonathan Sharvit has over twenty years of experience as a software engineer. He blogs, speaks at conferences, and leads Data-Oriented Programming workshops around the world. Table of Contents PART 1 FLEXIBILITY 1 Complexity of object-oriented programming 2 Separation between code and data 3 Basic data manipulation 4 State management 5 Basic concurrency control 6 Unit tests PART 2 SCALABILITY 7 Basic data validation 8 Advanced concurrency control 9 Persistent data structures 10 Database operations 11 Web services PART 3 MAINTAINABILITY 12 Advanced data validation 13 Polymorphism 14 Advanced data manipulation 15 Debugging |
| computer science elevator pitch: Artificial Intelligence Application in Networks and Systems Radek Silhavy, Petr Silhavy, 2023-07-08 The application of artificial intelligence in networks and systems is a rapidly evolving field that has the potential to transform a wide range of industries. The refereed proceedings in this book is from the Artificial Intelligence Application in Networks and Systems session of the Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The section brings together experts from different fields to present their research and discuss the latest trends and challenges. One of the key themes in this section is the development of intelligent systems that can learn, adapt, and optimize their performance in real time. Researchers are exploring how AI algorithms can be used to create autonomous networks and systems that can make decisions without human intervention. Furthermore, this section highlights the use of AI in improving network performance and efficiency. Researchers are exploring how AI algorithms can be used to optimize network routing, reduce congestion, and improve the quality of service. These efforts can help organizations save costs and improve user experience. |
| computer science elevator pitch: A New Brand World Scott Bedbury, Stephen Fenichell, 2003-02-25 What does it really take to succeed in business today? In A New Brand World, Scott Bedbury, who helped make Nike and Starbucks two of the most successful brands of recent years, explains this often mysterious process by setting out the principles that helped these companies become leaders in their respective industries. With illuminating anecdotes from his own in-the-trenches experiences and dozens of case studies of other winning—and failed—branding efforts (including Harley-Davidson, Guinness, The Gap, and Disney), Bedbury offers practical, battle-tested advice for keeping any business at the top of its game. |
| computer science elevator pitch: The Innovator's Way Peter J. Denning, Robert Dunham, 2012-09-21 Two experts show that innovation is a skill that can be learned and describe eight essential practices for achieving success. Innovation is the ruling buzzword in business today. Technology companies invest billions in developing new gadgets; business leaders see innovation as the key to a competitive edge; policymakers craft regulations to foster a climate of innovation. And yet businesses report a success rate of only four percent for innovation initiatives. Can we significantly increase our odds of success? In The Innovator's Way, innovation experts Peter Denning and Robert Dunham reply with an emphatic yes. Innovation, they write, is not simply an invention, a policy, or a process to be managed. It is a personal skill that can be learned, developed through practice, and extended into organizations. Denning and Dunham identify and describe eight personal practices that all successful innovators perform: sensing, envisioning, offering, adopting, sustaining, executing, leading, and embodying. Together, these practices can boost a fledgling innovator to success. Weakness in any of these practices, they show, blocks innovation. Denning and Dunham chart the path to innovation mastery, from individual practices to teams and social networks. |
| computer science elevator pitch: Digital Entrepreneurship and Global Innovation Hosu, Ioan, Iancu, Ioana, 2016-09-30 Succeeding in the modern business world is a multi-faceted endeavor that involves numerous parts. By implementing effective strategies, companies can strive toward achieving a competitive advantage. Digital Entrepreneurship and Global Innovation is a pivotal reference source for the latest academic material on strategic entrepreneurship initiatives to facilitate organizational growth and success, focusing on the role of digital technologies in business environments. Highlighting theoretical frameworks, industry perspectives, and emerging methodologies, this book is ideally designed for professionals, practitioners, upper-level students, and researchers involved in the field of entrepreneurship. |
| computer science elevator pitch: Undead Girl Gang Lily Anderson, 2018-05-08 A fun, fast read...it will resonate with readers who dabble in any sort of arts, dark or otherwise. --NPR.org With a singular and hilariously cutting teen voice, UNDEAD GIRL GANG is sure to be one of the most talked-about YA novels of the year. --BookPage Veronica Mars meets The Craft when a teen girl investigates the suspicious deaths of three classmates and accidentally ends up bringing them back to life to form a hilariously unlikely--and unwilling--vigilante girl gang. Meet teenage Wiccan Mila Flores, who truly could not care less what you think about her Doc Martens, her attitude, or her weight because she knows that, no matter what, her BFF Riley is right by her side. So when Riley and Fairmont Academy mean girls June Phelan-Park and Dayton Nesseth die under suspicious circumstances, Mila refuses to believe everyone's explanation that her BFF was involved in a suicide pact. Instead, armed with a tube of lip gloss and an ancient grimoire, Mila does the unthinkable to uncover the truth: she brings the girls back to life. Unfortunately, Riley, June, and Dayton have no recollection of their murders. But they do have unfinished business to attend to. Now, with only seven days until the spell wears off and the girls return to their graves, Mila must wrangle the distracted group of undead teens and work fast to discover their murderer...before the killer strikes again. |
| computer science elevator pitch: Building Your Academic Research Digital Identity Margaret Rush Dreker, Kyle James Downey, 2023 Zusammenfassung: The purpose of this timely and stimulating book is to thoroughly prepare students, early researchers, and career scholars in establishing their digital identity online. Broadly defined, digital identity is one's online history - that is, it is any trail a person has left in his or her life that is now online. In academics, the issue is of digital presence is of utmost importance, as a digital identity frames one's professional reputation, doing so by promoting and defining a person's knowledge and research in their respective field. Written by an accomplished interdisciplinary team of scholars in library science and related fields, this unique guide addresses the development of professional identity as a continuous, dynamic process that is constantly evolving, generally starting from university study and moving through one's professional work life. It goes without saying that building your digital identity as a researcher can be an effective way to publicize your work among your peers, but, the authors emphasize, this activity must be done carefully and skillfully. Indeed, developing these skills can forge a path to professional advancement in hiring, promotion, and tenure. Moreover, a well-designed digital presence can help build networks which can lead to collaborations, increased research, and grants. In addition, having a well-managed digital identity helps an academic engage with the public by strategically disseminating one's knowledge to students, public, and the media. Importantly, it can also help prevent misinformation. Whether readers are new in the field of research and publishing, or have a well-established portfolio of written literature, this handy title will provide vital guidance in establishing a digital presence, covering a wide range of issues. Key topics discussed, for example, include academic digital platforms and tools to consider when using them, working with academic librarians, social media platforms, choosing digital identity management tools like Open Researcher and Contributor ID or ORCID, the importance of author metrics and the h-index, and maintaining and curating a professional website, to name just several areas discussed. An invaluable contribution to the career literature, Building Your Academic Research Digital Identity will enable readers to strategically understand all the tools, platforms, and metrics needed to establish and cultivate one's crucially important digital profile. |
| computer science elevator pitch: Applied Data Science Martin Braschler, Thilo Stadelmann, Kurt Stockinger, 2019-06-13 This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry. |
| computer science elevator pitch: Artificial Intelligent Approaches in Petroleum Geosciences Constantin Cranganu, Henri Luchian, Mihaela Elena Breaban, 2015-04-20 This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, there is a need to establish a new approach aimed at proper integration of disciplines (such as petroleum engineering, geology, geophysics and geochemistry), data fusion, risk reduction and uncertainty management. These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. This book is intended for petroleum scientists, data miners, data scientists and professionals and post-graduate students involved in petroleum industry. |
| computer science elevator pitch: Algorithms to Live By Brian Christian, Tom Griffiths, 2016-04-19 An exploration of how computer algorithms can be applied to our everyday lives to solve common decision-making problems and illuminate the workings of the human mind. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they’ve found have much to teach us. In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one’s inbox to peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. |
| computer science elevator pitch: In Real Life Jon Mitchell, 2014-12-16 Technology can help us with some of our most difficult work. It can also offer us endless distractions. Can technology help us, as individuals and communities, in our most important task, that of being a good person? Jon Mitchell sets out to identify and explore the ways in which we can develop a more thoughtful relationship with technology. Rather than only using our technological devices as a medium for connecting with the world, he recommends we rethink our relationship with technology, and see it as a resource that allows us to have a more intimate and personal relationship with ourselves and the world around us. Mitchell offers concrete practices for streamlining and improving the way we use technology in our daily lives. Writing in a relatable, conversational, easy-to-read style, Mitchell draws on his years of experience as a tech journalist and mindfulness practitioner to propose a rethinking of both the design of technology and its use. |
| computer science elevator pitch: The Job Seeker's Script Judith Humphrey, 2023-05-16 The Job Seeker’s Script stands out in a crowded field of career advice literature Whether you’re looking to move up in your firm or searching for a position elsewhere, this book will show you how to tell your story persuasively at every stage of your professional journey. As a job seeker, you will discover how to create a clear, powerful script that inspires your listeners, gains their support, and lands you that dream job. The centerpiece of this book is the HIRE scripting template. You can use it to successfully structure every “chapter” in your story, from networking conversations and elevator pitches, to resumes and cover letters, to interviews. You will also learn how to • portray yourself as the central “character” in your story, • speak with compelling language, • rehearse for each interview, and • deliver with a strong, confident presence. The Job Seeker’s Script is distinguished by its wealth of examples, drawn from author Judith Humphrey’s deep experience in the field of communications. Learn from this book how to craft a narrative that will ensure your destiny as a standout performer and successful job candidate. |
| computer science elevator pitch: Applying Computational Intelligence Arthur Kordon, 2009-11-28 In theory, there is no difference between theory and practice. But, in practice, there is. Jan L. A. van de Snepscheut The ?ow of academic ideas in the area of computational intelligence has penetrated industry with tremendous speed and persistence. Thousands of applications have proved the practical potential of fuzzy logic, neural networks, evolutionary com- tation, swarm intelligence, and intelligent agents even before their theoretical foundation is completely understood. And the popularity is rising. Some software vendors have pronounced the new machine learning gold rush to “Transfer Data into Gold”. New buzzwords like “data mining”, “genetic algorithms”, and “swarm optimization” have enriched the top executives’ vocabulary to make them look more “visionary” for the 21st century. The phrase “fuzzy math” became political jargon after being used by US President George W. Bush in one of the election debates in the campaign in 2000. Even process operators are discussing the perf- mance of neural networks with the same passion as the performance of the Dallas Cowboys. However, for most of the engineers and scientists introducing computational intelligence technologies into practice, looking at the growing number of new approaches, and understanding their theoretical principles and potential for value creation becomes a more and more dif?cult task. |
| computer science elevator pitch: Getting a Coding Job For Dummies Nikhil Abraham, 2015-08-03 Your friendly guide to getting a job in coding Getting a Coding Job For Dummies explains how a coder works in (or out of) an organization, the key skills any job requires, the basics of the technologies a coding pro will encounter, and how to find formal or informal ways to build your skills. Plus, it paints a picture of the world a coder lives in, outlines how to build a resume to land a coding job, and so much more. Coding is one of the most in-demand skills in today's job market, yet there seems to be an ongoing deficit of candidates qualified to take these jobs. Getting a Coding Job For Dummies provides a road map for students, post-grads, career switchers, and anyone else interested in starting a career in coding. Inside this friendly guide, you'll find the steps needed to learn the hard and soft skills of coding—and the world of programming at large. Along the way, you'll set a clear career path based on your goals and discover the resources that can best help you build your coding skills to make you a suitable job candidate. Covers the breadth of job opportunities as a coder Includes tips on educational resources for coders and ways to build a positive reputation Shows you how to research potential employers and impress interviewers Offers access to online video, articles, and sample resume templates If you're interested in pursuing a job in coding, but don't know the best way to get there, Getting a Coding Job For Dummies is your compass! |
| computer science elevator pitch: Advances in Computers Marvin Zelkowitz, 2010-03-02 This is volume 78 of Advances in Computers. This series, which began publication in 1960, is the oldest continuously published anthology that chronicles the ever- changing information technology field. In these volumes we publish from 5 to 7 chapters, three times per year, that cover the latest changes to the design, development, use and implications of computer technology on society today. - Covers the full breadth of innovations in hardware, software, theory, design, and applications. - Many of the in-depth reviews have become standard references that continue to be of significant, lasting value in this rapidly expanding field. |
| computer science elevator pitch: Cassandra: The Definitive Guide Eben Hewitt, 2010-11-12 What could you do with data if scalability wasn't a problem? With this hands-on guide, you'll learn how Apache Cassandra handles hundreds of terabytes of data while remaining highly available across multiple data centers -- capabilities that have attracted Facebook, Twitter, and other data-intensive companies. Cassandra: The Definitive Guide provides the technical details and practical examples you need to assess this database management system and put it to work in a production environment. Author Eben Hewitt demonstrates the advantages of Cassandra's nonrelational design, and pays special attention to data modeling. If you're a developer, DBA, application architect, or manager looking to solve a database scaling issue or future-proof your application, this guide shows you how to harness Cassandra's speed and flexibility. Understand the tenets of Cassandra's column-oriented structure Learn how to write, update, and read Cassandra data Discover how to add or remove nodes from the cluster as your application requires Examine a working application that translates from a relational model to Cassandra's data model Use examples for writing clients in Java, Python, and C# Use the JMX interface to monitor a cluster's usage, memory patterns, and more Tune memory settings, data storage, and caching for better performance |
| computer science elevator pitch: Computer-Supported Collaborative Learning at the Workplace Sean P. Goggins, Isa Jahnke, Volker Wulf, 2013-05-13 This book is an edited volume of case studies exploring the uptake and use of computer supported collaborative learning in work settings. This book fills a significant gap in the literature. A number of existing works provide empirical research on collaborative work practices (Lave & Wenger, 1987; Davenport, 2005), the sharing of information at work (Brown & Duguid, 2000), and the development of communities of practice in workplace settings (Wenger, 1998). Others examine the munificent variation of information and communication technology use in the work place, including studies of informal social networks, formal information distribution and other socio-technical combinations found in work settings (Gibson & Cohen, 2003). Another significant thread of prior work is focused on computer supported collaborative learning, much of it investigating the application of computer support for learning in the context of traditional educational institutions, like public schools, private schools, colleges and tutoring organizations. Exciting new theories of how knowledge is constructed by groups (Stahl, 2006), how teachers contribute to collaborative learning (reference to another book in the series) and the application of socio-technical scripts for learning is explicated in book length works on CSCL. Book length empirical work on CSCW is widespread, and CSCL book length works are beginning to emerge with greater frequency. We distinguish CSCL at Work from prior books written under the aegis of training and development, or human resources more broadly. The book aims to fill a void between existing works in CSCW and CSCL, and will open with a chapter characterizing the emerging application of collaborative learning theories and practices to workplace learning. CSCL and CSCW research each make distinct and important contributions to the construction of collaborative workplace learning. |
| computer science elevator pitch: Networked Anthropology Samuel Gerald Collins, Matthew Slover Durington, 2014-08-27 The advent of social media offers anthropologists exciting opportunities to extend their research to communities in fresh ways. At the same time, these technological developments open up anthropological fieldwork to different hazards. Networked Anthropology explores the increasing appropriation of diverse media platforms and social media into anthropological research and teaching. The chapters consider the possibilities and challenges of multimedia, how network ecologies work, the ethical dilemmas involved, and how to use multimedia methodologies. The book combines theoretical insights with case studies, methodological sketches and pedagogical notes. Drawing on recent ethnographic work, the authors provide practical guidance in creative ways of doing networked anthropology. They point to the future of ethnography, both inside and outside the classroom, and consider ways in which networked anthropology might develop. |
| computer science elevator pitch: The Secret Body Daniel M. Davis, 2022-07-26 “A perfect blend of cutting-edge science and compelling storytelling.”—Bill Bryson A revolutionary new vision of human biology and the scientific breakthroughs that will transform our lives Imagine knowing years in advance whether you are likely to get cancer or having a personalized understanding of your individual genes, organs, and cells. Imagine being able to monitor your body's well-being, or have a diet tailored to your microbiome. The Secret Body reveals how these and other stunning breakthroughs and technologies are transforming our understanding of how the human body works, what it is capable of, how to protect it from disease, and how we might manipulate it in the future. Taking readers to the cutting edge of research, Daniel Davis shows how radical new possibilities are becoming realities thanks to the visionary efforts of scientists who are revealing the invisible and secret universe within each of us. Focusing on six important frontiers, Davis describes what we are learning about cells, the development of the fetus, the body's immune system, the brain, the microbiome, and the genome—areas of human biology that are usually understood in isolation. Bringing them together here for the first time, Davis offers a new vision of the human body as a biological wonder of dizzying complexity and possibility. Written by an award-winning scientist at the forefront of this adventure, The Secret Body is a gripping drama of discovery and a landmark account of the dawning revolution in human health. |
| computer science elevator pitch: TPACK: Breakthroughs in Research and Practice Management Association, Information Resources, 2019-02-01 Educational technologies are becoming commonplace entities in classrooms as they provide more options and support for teachers and students. However, many teachers are finding these technologies difficult to use due to a lack of training and instruction on how to effectively apply them to the classroom. TPACK: Breakthroughs in Research and Practice is an authoritative reference source for the latest research on the integration of technological knowledge, pedagogical knowledge, and content knowledge in the contexts of K-12 education. Highlighting a range of pertinent topics such as pedagogical strategies, blended learning, and technology integration, this publication is an ideal resource for educators, instructional designers, administrators, academicians, and teacher education programs seeking current findings on the implementation of technology in instructional design. |
| computer science elevator pitch: Mathematical Modelling in Science and Technology Xavier J.R. Avula, Rudolf E. Kalman, Anthanasios I. Liapis, 2014-05-09 Mathematical Modelling in Science and Technology: The Fourth International Conference covers the proceedings of the Fourth International Conference by the same title, held at the Swiss Federal Institute of Technology, Zurich, Switzerland on August 15-17, 1983. Mathematical modeling is a powerful tool to solve many complex problems presented by scientific and technological developments. This book is organized into 20 parts encompassing 180 chapters. The first parts present the basic principles, methodology, systems theory, parameter estimation, system identification, and optimization of mathematical modeling. The succeeding parts discuss the features of stochastic and numerical modeling and simulation languages. Considerable parts deal with the application areas of mathematical modeling, such as in chemical engineering, solid and fluid mechanics, water resources, medicine, economics, transportation, and industry. The last parts tackle the application of mathematical modeling in student management and other academic cases. This book will prove useful to researchers in various science and technology fields. |
| computer science elevator pitch: Towards Scientific Leadership J. W. (Hans) Niemantsverdriet, Jan-Karel Felderhof, 2024-10-07 Modern Science and R&D critically rely on teamwork. This completely revised and expanded book Towards Scientific Leadership offers a unique approach to helping young professionals transition from productive team members to effective team leaders. The authors provide innovative ideas and strategies for leadership development, setting the book apart from others in the field. The basis of being a successful leader is authentic self-leadership – essential for all who want to control their own life. People who know themselves and realise what it takes to be productive and deliver results also understand how to lead others and inspire them to perform naturally and undertake initiatives. For scientists, who like to focus on knowledge and insight and how to transfer it to others, self-leadership is key to creating value and adopting it in practice. The book explains how to become a successful (self)leader, not with tricks, but with an inspiring vision and mission, the correct mindset, and effective teamwork. |
| computer science elevator pitch: Doing Feminist Research in Political and Social Science Brooke A. Ackerly, Jacqui True, 2019-11-08 Guiding students step-by-step through the research process while simultaneously introducing a range of debates, challenges and tools that feminist scholars use, the second edition of this popular textbook provides a vital resource to those students and researchers approaching their studies from a feminist perspective. Interdisciplinary in its approach, the book covers everything from research design, analysis and presentation, to formulating research questions, data collection and publishing research. Offering the most comprehensive and practical guide to the subject available, the text is now also fully updated to take account of recent developments in the field, including participatory action research, new technologies and methods for working with big data and social media. Doing Feminist Research is required reading for undergraduate and postgraduate courses taking a feminist approach to social science methodology, research design and methods. It is the ideal guide for all students and scholars carrying out feminist research, whether in the fields of international relations, political science, interdisciplinary international and global studies, development studies or gender and women's studies. New to this Edition: - New discussions of contemporary research methods, including participatory action research, survey research and technology, and methods for big data and social media. - Updated to reflect recent developments in feminist and gender theory, with references to the latest research examples and new boxes considering recent shifts in the social and political sciences. - Brand new boxed examples throughout covering topics including collaborations, femicide, negotiating changing research environments and the pros and cons of feminist participatory action research. - The text is now written in the first (authors) and second (readers) person making the text clearer, more consistent and inclusive from the reader point of view. |
| computer science elevator pitch: Enjoy Your Science Meeting!: A Practical Guide To Getting The Most Out Of Attending Scientific Conferences Elizabeth M Fisher, Richard C Thompson, 2019-09-16 The book provides a practical and readable guide to getting the most out of attending a scientific conference. The topics covered include writing an abstract, preparing and presenting a poster or talk, chairing a session, making good use of poster and oral sessions, and networking. Also included is practical advice on registering for a conference and planning travel. Aimed primarily at PhD students who are attending their first conference, it is also relevant to junior postdoctoral scientists.Different types of scientific conferences are discussed, together with their distinct roles in the development of a scientific career. After reading this book, a student or postdoc will be in a better position to make an effective presentation of their work at a conference and to achieve the maximum benefit from attending the conference, including promoting their work, learning about the latest developments and getting to know the key players in their field. |
| computer science elevator pitch: College Grad Job Hunter Brian D. Krueger, 1997 |
| computer science elevator pitch: Last Resort Andrew Lipstein, 2022-01-18 Named a Top 10 Book of the Year by Slate Named a Best Book of 2022 by The New Yorker Named a Best Book of 2022 by Vulture A New York Times Editors’ Choice Shortlisted for the Bollinger Everyman Wodehouse Prize for Comic Fiction In his blazing debut novel, Andrew Lipstein blurs the lines of fact and fiction with a thrilling story of fame, fortune, and impossible choices. Caleb Horowitz is twenty-seven, and his wildest dreams are about to come true. His manuscript has caught the attention of the agent, who offers him money, acclaim, and a taste of the literary life. He can’t wait for his book to be shopped to every editor in New York, except one: Avi Deitsch, an old college rival and the novel’s “inspiration.” When Avi gets his hands on it, he sees nothing but theft—and opportunity. Caleb is forced to make a Faustian bargain, one that tests his theories of success, ambition, and the limits of art. Last Resort is the razor-edged account of a young man’s reckless journey into authenticity. As Caleb fights to right his mistakes and reclaim his name, he must burn every bridge, confront his deepest desires, and finally see his work from the perspectives of characters he’d imagined were his own. |
| computer science elevator pitch: Pitching Hacks: How to Pitch Startups to Investors Babak Nivi, Venture Hacks Staff, Naval Ravikant, 2009-12-22 How to raise money from VCs and angel investors. We've founded companies like Epinions; helped start companies that are backed by Sequoia, Benchmark, and Kleiner Perkins; raised $100M or so for startups; and invested another $20M in about 12 companies. This book summarizes some of the lessons we've learned about pitching companies to investors. |
| computer science elevator pitch: The Software Architect Elevator Gregor Hohpe, 2020-04-08 As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company’s structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company’s technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what’s worked and what hasn’t in large-scale transformation |
| computer science elevator pitch: BIG Jobs Guide Rachel Levy, Richard Laugesen, Fadil Santosa, 2018-06-29 Jobs using mathematics, statistics, and operations research are projected to grow by almost 30% over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG). Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as: - What skills can I offer employers? - How do I write a high-impact r?esume? - Where can I find a rewarding internship? - What kinds of jobs are out there for me? The Guide also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships. Whether you're an undergraduate or graduate student or a job seeker in mathematics, statistics, or operations research, this hands-on book will help you reach your goal?landing an internship, getting your first job or transitioning to a new one. |
| computer science elevator pitch: Applying Data Science Arthur K. Kordon, 2020-09-12 This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
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Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
Micro Center - Computer & Electronics Retailer - Shop Now
Shop Micro Center for electronics, PCs, laptops, Apple products, and much more. Enjoy in-store pickup, top deals, and expert same-day tech support.
What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
Laptop & Desktop Computers - Staples
Buy the computer that fits your exact needs. Choose from laptops, desktops PCs, notebooks, and accessories. Invest in a quality computer for work or personal use.
What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
