Computer Science Bachelor Of Arts Vs Science



  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs science: Java Programming Ralph Bravaco, Shai Simonson, 2009-02-01 Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition.
  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs science: Security Informatics Christopher C. Yang, Michael Chau, Jau-Hwang Wang, Hsinchun Chen, 2010-01-08 Intelligence and Security Informatics (ISI) is defined as the study of the development and use of advanced information systems and technologies for national, international, and societal security-related applications. With the rise of global terrorism, the field has been given an increasing amount of attention from academic researchers, law enforcement, intelligent experts, information technology consultants and practitioners. SECURITY INFORMATICS is global in scope and perspective. Leading experts will be invited as contributing authors from the US, UK, Denmark, Israel, Singapore, Hong Kong, Taiwan, Europe, etc. It is the first systematic, archival volume treatment of the field and will cover the very latest advances in ISI research and practice. It is organized in four major subject areas: (1) Information and Systems Security, (2) Information Sharing and Analysis in Security Informatics, (3) Infrastructure Protection and Emergency Responses, and (4) National Security and Terrorism Informatics.
  computer science bachelor of arts vs science: Building Problem Solvers Kenneth D. Forbus, Johan De Kleer, 1993 After working through Building Problem Solvers, readers should have a deep understanding of pattern directed inference systems, constraint languages, and truth maintenance systems.
  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs science: The Minimum You Need to Know about Logic to Work in IT Roland Hughes, 2007 This book is part of aaThe Minimum You Need to Knowaa family of books by Logikal Solutions. As the family expands they will cover an increasing variety of topics. This book is designed to be used as a text book for classes in logic from high school to college level. It should be one of the first courses you have on IT and this should be one of the first books you read when starting in IT. Not only does this book cover flow charting and pseudocode, it teaches the reader to think before they start mapping out the logic to solve a problem. The author of this book is an industry veteran with nearly 20 years in the field. It has been his experience that recent graduates, from any country, are nearly useless at problem solving. If they cannot point, click, and drag, they cannot solve the problem. This book is an attempt to teach them how to solve the problem. An instructoraas guide is available for schools looking to make this book the basis of coursework.
  computer science bachelor of arts vs science: Computer and Information Technology Prasad Yarlagadda, Seung Bok Choi, Yun Hae Kim, 2014-05 Selected, peer reviewed papers from the International Forum on Computer and Information Technology (IFCIT 2013), December 24-25, 2013, Shenzhen, China
  computer science bachelor of arts vs science: Aesthetic Computing Paul A. Fishwick, 2006 The application of the theory and practice of art to computer science: how aesthetics and art can play a role in computing disciplines.
  computer science bachelor of arts vs science: The University of London, 1858-1900 Francis Michael Glenn Willson, 2004 Convocation was deeply divided, those defensive of the existing 'external' system being apprehensive of the power which the new 'internal' system would give to teachers in London. Convocation exercised its veto once, and lost that power when the Charter of the University was replaced by an Act of Parliament.--BOOK JACKET.
  computer science bachelor of arts vs science: Computer Science Handbook Allen B. Tucker, 2004-06-28 When you think about how far and fast computer science has progressed in recent years, it's not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today's computer scientists, software engineers, and IT professionals need. With a broadened scope, more emphasis on applied computing, and more than 70 chap
  computer science bachelor of arts vs science: Product Marketing, Simplified Srini Sekaran, 2020-07-19 A comprehensive guide to product marketing — from messaging to influencing the product roadmap. Learn how to launch products, deliver value to the right customer, and grow your business. Whether you're looking to become a product marketer, a product manager, or an entrepreneur, this is the handbook you need to learn how to deliver value and take a product to market the right way.
  computer science bachelor of arts vs science: Land Grants to States United States. Public Land Law Review Commission, 1970
  computer science bachelor of arts vs science: Infinite Words Dominique Perrin, Jean-Éric Pin, 2004-02-18 Infinite Words is an important theory in both Mathematics and Computer Sciences. Many new developments have been made in the field, encouraged by its application to problems in computer science. Infinite Words is the first manual devoted to this topic. Infinite Words explores all aspects of the theory, including Automata, Semigroups, Topology, Games, Logic, Bi-infinite Words, Infinite Trees and Finite Words. The book also looks at the early pioneering work of Büchi, McNaughton and Schützenberger. Serves as both an introduction to the field and as a reference book. Contains numerous exercises desgined to aid students and readers. Self-contained chapters provide helpful guidance for lectures.
  computer science bachelor of arts vs science: Higher Education Opportunity Act United States, 2008
  computer science bachelor of arts vs science: Servicemember's Guide to a College Degree Larry J. Anderson, 2002 The complete guide on how to obtain a college degree while in the service. Loads of tips on how to be academically successful.
  computer science bachelor of arts vs science: Software Engineering Education Lionel E. Deimel, 1990-04-06
  computer science bachelor of arts vs science: Computerworld , 1981-09-21 For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
  computer science bachelor of arts vs science: The Productive Programmer Neal Ford, 2008-07-03 Anyone who develops software for a living needs a proven way to produce it better, faster, and cheaper. The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to: Write the test before you write the code Manage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standards Make hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer.
  computer science bachelor of arts vs science: Mechanism Analysis Lyndon O. Barton, 2016-04-19 This updated and enlarged Second Edition provides in-depth, progressive studies of kinematic mechanisms and offers novel, simplified methods of solving typical problems that arise in mechanisms synthesis and analysis - concentrating on the use of algebra and trigonometry and minimizing the need for calculus.;It continues to furnish complete coverag
  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs science: Python Scripting for Computational Science Hans Petter Langtangen, 2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries.
  computer science bachelor of arts vs science: You Can Do Anything George Anders, 2017-08-08 In a tech-dominated world, the most needed degrees are the most surprising: the liberal arts. Did you take the right classes in college? Will your major help you get the right job offers? For more than a decade, the national spotlight has focused on science and engineering as the only reliable choice for finding a successful post-grad career. Our destinies have been reduced to a caricature: learn to write computer code or end up behind a counter, pouring coffee. Quietly, though, a different path to success has been taking shape. In You Can Do Anything, George Anders explains the remarkable power of a liberal arts education - and the ways it can open the door to thousands of cutting-edge jobs every week. The key insight: curiosity, creativity, and empathy aren't unruly traits that must be reined in. You can be yourself, as an English major, and thrive in sales. You can segue from anthropology into the booming new field of user research; from classics into management consulting, and from philosophy into high-stakes investing. At any stage of your career, you can bring a humanist's grace to our rapidly evolving high-tech future. And if you know how to attack the job market, your opportunities will be vast. In this book, you will learn why resume-writing is fading in importance and why telling your story is taking its place. You will learn how to create jobs that don't exist yet, and to translate your campus achievements into a new style of expression that will make employers' eyes light up. You will discover why people who start in eccentric first jobs - and then make their own luck - so often race ahead of peers whose post-college hunt focuses only on security and starting pay. You will be ready for anything.
  computer science bachelor of arts vs science: Colleges That Create Futures Princeton Review, 2016-05-10 KICK-START YOUR CAREER WITH THE RIGHT ON-CAMPUS EXPERIENCE! When it comes to getting the most out of college, the experiences you have outside the classroom are just as important as what you study. Colleges That Create Futures looks beyond the usual “best of” college lists to highlight 50 schools that empower students to discover practical, real-world applications for their talents and interests. The schools in this book feature distinctive research, internship, and hands-on learning programs—all the info you need to help find a college where you can parlay your passion into a successful post-college career. Inside, You'll Find: • In-depth profiles covering career services, internship support, student group activity, alumni satisfaction, noteworthy facilities and programs, and more • Candid assessments of each school’s academics from students, current faculty, and alumni • Unique hands-on learning opportunities for students across majors • Testimonials on career prep from alumni in business, education, law, and much more *************************** What makes Colleges That Create Futures important? You've seen the headlines—lately the news has been full of horror stories about how the college educational system has failed many recent grads who leave school with huge debt, no job prospects, and no experience in the working world. Colleges That Create Futures identifies schools that don't fall into this trap but instead prepare students for successful careers! How are the colleges selected? Schools are selected based on survey results on career services, grad school matriculation, internship support, student group and government activity, alumni activity and salaries, and noteworthy facilities and programs.
  computer science bachelor of arts vs science: Machine Learning Bookcamp Alexey Grigorev, 2021-11-23 The only way to learn is to practice! In Machine Learning Bookcamp, you''ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you''ve learned in previous chapters. By the end of the bookcamp, you''ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technology Machine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that''s exactly what you''ll be doing in Machine Learning Bookcamp. about the book In Machine Learning Bookcamp you''ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you''ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You''ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you''re done working through these fun and informative projects, you''ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems. what''s inside Code fundamental ML algorithms from scratch Collect and clean data for training models Use popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images and text Deploy ML models to a production-ready environment about the reader For readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.
  computer science bachelor of arts vs science: Cognitive Psychology In and Out of the Laboratory Kathleen M. Galotti, 2020
  computer science bachelor of arts vs science: International Science and Technology Education Ortwin Renn, Nicole C. Karafyllis, Andreas Hohlt, Dorothea Taube, 2015-06-24 Education in science, technology, engineering and mathematics (STEM) is crucial for taking advantage of the prospects of new scientific discoveries initiating or promoting technological changes, and managing opportunities and risks associated with innovations. This book explores the emerging perspectives and methodologies of STEM education and its relationship to the cultural understanding of science and technology in an international context. The authors provide a unique perspective on the subject, presenting materials and experiences from non-European industrialized as well as industrializing countries, including China, Japan, South Korea, India, Egypt, Brazil and the USA. The chapters offer a wide scope of interpretations and comparative reviews of STEM education by including narrative elements about cultural developments, considering the influence of culture and social perceptions on technological and social change, and applying innovative tools of qualitative social research. The book represents a comprehensive and multidisciplinary review of the current status and future challenges facing STEM education across the world, including issues such as globalization, interdependencies of norms and values, effects on equity and social justice as well as resilience. Overall the volume provides valuable insights for a broad and comprehensive international comparison of STEM philosophies, approaches and experiences.
  computer science bachelor of arts vs science: British Qualifications Kogan Page, 2004 In a single volume, the new edition of this guide gives comprehensive coverage of the developments within the fast-changing field of professional, academic and vocational qualifications. career fields, their professional and accrediting bodies, levels of membership and qualifications, and is a one-stop guide for careers advisors, students and parents. It should also enable human resource managers to verify the qualifications of potential employees.
  computer science bachelor of arts vs science: Peterson's Colleges in the West , 2009
  computer science bachelor of arts vs science: Four-Year Colleges 2012 Peterson's, 2011-12-01 Peterson's Four-Year Colleges 2012 is the trusted guide of high school guidance counselors, parents, and students. This valuable resource includes information on accredited four-year undergraduate institution in the United States and Canada (and many international schools)-more than 2,500 institutions in all. It also includes detailed two-page descriptions, written by admissions personnel, for more than 400 colleges and universities. Inside you'll find: Detailed profile information including campus setting, enrollment, academic programs, entrance difficulty, expenses, student-faculty ratio, application deadlines, and contact information. The Advice Center provides insider info on specialized college options, such as Honors Programs and Colleges, Online Learning, Women's Colleges, and Public vs. Private institutions. Helful articles offer advice on making a list of your Top-Ten colleges, surviving standardized tests, preparing to get into college, paying for college, scholarship guidance and more. Indexes include Majors or Fields of Study, Entrance Difficulty, Cost Ranges, and geographic and alphabetical listings of all schools.
  computer science bachelor of arts vs science: Colleges in the Midwest Peterson's, 2009-08 A directory to colleges found in the Midwestern United States.
  computer science bachelor of arts vs science: Directory of Canadian Universities , 2003
  computer science bachelor of arts vs 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.
  computer science bachelor of arts vs science: Undergraduate Announcement University of Michigan--Dearborn, 1983
  computer science bachelor of arts vs science: Handbook of Research on Pathways and Opportunities Into the Business of Esports Andrews, Sharon, Crawford, Caroline M., 2021-06-25 Esports have attracted considerable attention over the past few years and become an industry that is projected to continue to increase rapidly. Intersecting with the esports industry are organizations and businesses that develop and support the esports game experience. Included is the entrepreneurial spirit of gamers, who are interested in creating their own career paths through capturing and posting gaming microassists on different public venues that are driven by advertising dollars, invitational competition monetary winnings, and other forms of marketing their expertise for financial gain. All these organizations and industries form satellites of career opportunities as well as opportunities for research and enhanced forward-leaning study. Such career opportunities can be explicitly addressed within the structure of university degree and micro-credential certificate programs, some of which have begun to offer esports-directed degrees, but most of which have not yet moved from esports clubs into a recognition of the business and industry monetization of esports. The Handbook of Research on Pathways and Opportunities Into the Business of Esports addresses the intersection of esports gaming and the business and industry of esports, rather than an exploration of the video games themselves. It is the supporting and intersecting industry driven by esports and the vast opportunities this brings that are the foci of this book. Covering topics including digital learning, esport marketing curriculum, and gaming culture, this text is essential for business professionals, industry analysts, entrepreneurs, managers, coaches, marketers, advertisers, brand managers, university and college administrators, faculty and researchers, students, professors, and academicians.
  computer science bachelor of arts vs science: University of Michigan Official Publication University of Michigan, 1989 Each number is the catalogue of a specific school or college of the University.
  computer science bachelor of arts vs science: Colleges in the Middle Atlantic States Peterson's, 2009-08 This annually updated and comprehensive guide helps students and parents compare colleges within a specific geographic area (Delaware, District of Columbia, Maryland, New Jersey, Pennsylvania, Virginia, and West Virginia). Accredited regional colleges and universities are profiled with the latest information on financial aid, admissions, and student body statistics.
  computer science bachelor of arts vs 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--
  computer science bachelor of arts vs science: Annual Catalogue of the University of Kansas University of Kansas, 1975
Computer - Wikipedia
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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 …

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