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| computer science master's degree requirements: 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 master's degree requirements: Artificial Intelligence for Computer Games Pedro Antonio González-Calero, Marco Antonio Gómez-Martín, 2011-03-01 The book presents some of the most relevant results from academia in the area of Artificial Intelligence for games. It emphasizes well theoretically supported work supported by developed prototypes, which should lead into integration of academic AI techniques into current electronic entertainment games. The book elaborates on the main results produced in Academia within the last 10 years regarding all aspects of Artificial Intelligence for games, including pathfinding, decision making, and learning. A general theme of the book is the coverage of techniques for facilitating the construction of flexible not prescripted AI for agents in games. Regarding pathfinding, the book includes new techniques for implementing real-time search methods that improve the results obtained through AI, as well as techniques for learning pathfinding behavior by observing actual players. Regarding decision making, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual cases of past behavior. Additionally, the book will cover a number of approaches proposed for extending the essentially pre-scripted nature of current commercial videogames AI into a more interactive form of narrative, where the story emerges from the interaction with the player. Some of those approaches rely on a layered architecture for the character AI, including beliefs, intentions and emotions, taking ideas from research on agent systems. The book also includes chapters on techniques for automatically or semiautomatically learning complex behavior from recorded traces of human or automatic players using different combinations of reinforcement learning, case-based reasoning, neural networks and genetic algorithms. |
| computer science master's degree requirements: Programming with Java! Tim Ritchey, 1995 Gives examples of how to write your own Java code. Examples from book are on CD-ROM disk. |
| computer science master's degree requirements: Advanced Topics in Computer Vision Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla, 2013-09-24 This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video. |
| computer science master's degree requirements: Advanced Database Systems Nabil R. Adam, Bharat K. Bhargava, 1993-12-08 Database management is attracting wide interest in both academic and industrial contexts. New application areas such as CAD/CAM, geographic information systems, and multimedia are emerging. The needs of these application areas are far more complex than those of conventional business applications. The purpose of this book is to bring together a set of current research issues that addresses a broad spectrum of topics related to database systems and applications. The book is divided into four parts: - object-oriented databases, - temporal/historical database systems, - query processing in database systems, - heterogeneity, interoperability, open system architectures, multimedia database systems. |
| computer science master's degree requirements: 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 master's degree requirements: Graduate STEM Education for the 21st Century National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on Revitalizing Graduate STEM Education for the 21st Century, 2018-09-21 The U.S. system of graduate education in science, technology, engineering, and mathematics (STEM) has served the nation and its science and engineering enterprise extremely well. Over the course of their education, graduate students become involved in advancing the frontiers of discovery, as well as in making significant contributions to the growth of the U.S. economy, its national security, and the health and well-being of its people. However, continuous, dramatic innovations in research methods and technologies, changes in the nature and availability of work, shifts in demographics, and expansions in the scope of occupations needing STEM expertise raise questions about how well the current STEM graduate education system is meeting the full array of 21st century needs. Indeed, recent surveys of employers and graduates and studies of graduate education suggest that many graduate programs do not adequately prepare students to translate their knowledge into impact in multiple careers. Graduate STEM Education for the 21st Century examines the current state of U.S. graduate STEM education. This report explores how the system might best respond to ongoing developments in the conduct of research on evidence-based teaching practices and in the needs and interests of its students and the broader society it seeks to serve. This will be an essential resource for the primary stakeholders in the U.S. STEM enterprise, including federal and state policymakers, public and private funders, institutions of higher education, their administrators and faculty, leaders in business and industry, and the students the system is intended to educate. |
| computer science master's degree requirements: Cybersecurity for Executives Gregory J. Touhill, C. Joseph Touhill, 2014-06-09 Practical guide that can be used by executives to make well-informed decisions on cybersecurity issues to better protect their business Emphasizes, in a direct and uncomplicated way, how executives can identify, understand, assess, and mitigate risks associated with cybersecurity issues Covers 'What to Do When You Get Hacked?' including Business Continuity and Disaster Recovery planning, Public Relations, Legal and Regulatory issues, and Notifications and Disclosures Provides steps for integrating cybersecurity into Strategy; Policy and Guidelines; Change Management and Personnel Management Identifies cybersecurity best practices that executives can and should use both in the office and at home to protect their vital information |
| computer science master's degree requirements: 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 master's degree requirements: CUCKOO'S EGG Clifford Stoll, 2012-05-23 Before the Internet became widely known as a global tool for terrorists, one perceptive U.S. citizen recognized its ominous potential. Armed with clear evidence of computer espionage, he began a highly personal quest to expose a hidden network of spies that threatened national security. But would the authorities back him up? Cliff Stoll's dramatic firsthand account is a computer-age detective story, instantly fascinating [and] astonishingly gripping (Smithsonian). Cliff Stoll was an astronomer turned systems manager at Lawrence Berkeley Lab when a 75-cent accounting error alerted him to the presence of an unauthorized user on his system. The hacker's code name was Hunter—a mysterious invader who managed to break into U.S. computer systems and steal sensitive military and security information. Stoll began a one-man hunt of his own: spying on the spy. It was a dangerous game of deception, broken codes, satellites, and missile bases—a one-man sting operation that finally gained the attention of the CIA . . . and ultimately trapped an international spy ring fueled by cash, cocaine, and the KGB. |
| computer science master's degree requirements: 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 master's degree requirements: Commercialization of Innovative Technologies C. Joseph Touhill, Gregory J. Touhill, Thomas A. O'Riordan, 2011-09-20 This book helps you find innovative new technology ideas and guides you through the complete lifecycle of product innovation, including screening, funding, development, and commercialization. It gives you an edge by enabling you to start off with a solid foundation and strategy. Commercialization of Innovative Technologies focuses on three core areas that set the stage for successful commercialization: Developing and managing a strong, flexible innovation team of inventors, investors, technologists, and entrepreneurs; building a portfolio that spreads risk; leveraging input from technologists throughout the commercialization process. |
| computer science master's degree requirements: Internet Economics Lee W. McKnight, Joseph P. Bailey, 1998 The Internet has rapidly become an important element of the economic system. The lack of accepted metrics for economic analysis of Internet transactions is therefore increasingly problematic. This book, one of the first to bring together research on Internet engineering and economics, attempts to establish such metrics. The chapters, which developed out of a 1995 workshop held at MIT, include architectural models and analyses of Internet usage, as well as alternative pricing policies. The book is organized into six sections: 1) Introduction to Internet Economics, 2) The Economics of the Internet, 3) Interconnection and Multicast Economics, 4) Usage Sensitive Pricing, 5) Internet Commerce, and 6) Internet Economics and Policy. Contributors Loretta Anania, Joseph P. Bailey, Nevil Brownlee, David Carver, David Clark, David W. Crawford, Ketil Danielsen, Deborah Estrin, Branko Gerovac, David Gingold, Jiong Gong, Alok Gupta, Shai Herzog, Clark Johnson, Martyne M. Hallgren, Frank P. Kelly, Charlie Lai, Alan K. McAdams, Jeffrey K. MacKie-Mason, Lee W. McKnight, Gennady Medvinsky, Liam Murphy, John Murphy, B. Clifford Neuman, Jon M. Peha, Joseph Reagle, Mitrabarun Sarkar, Scott Shenker, Marvin A. Sirbu, Richard Jay Solomon, Padmanabhan Srinagesh, Dale O. Stahl, Hal R. Varian, Qiong Wang, Martin Weiss, Andrew B. Whinston |
| computer science master's degree requirements: 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 master's degree requirements: Sequences and Power Series , |
| computer science master's degree requirements: Data Privacy and Security J. J. P. Kenny, 1985 |
| computer science master's degree requirements: Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Computer Science & Information Technology, Electrical & Computer Engineering, and Energy & Power Engineering contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The profiled institutions include those in the United States, Canada and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
| computer science master's degree requirements: Data Mining For Dummies Meta S. Brown, 2014-09-04 Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining. |
| computer science master's degree requirements: Build a Career in Data Science Emily Robinson, Jacqueline Nolis, 2020-03-24 Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder |
| computer science master's degree requirements: Parallel Numerical Algorithms David E. Keyes, Ahmed Sameh, V. Venkatakrishnan, 2012-12-06 In this volume, designed for computational scientists and engineers working on applications requiring the memories and processing rates of large-scale parallelism, leading algorithmicists survey their own field-defining contributions, together with enough historical and bibliographical perspective to permit working one's way to the frontiers. This book is distinguished from earlier surveys in parallel numerical algorithms by its extension of coverage beyond core linear algebraic methods into tools more directly associated with partial differential and integral equations - though still with an appealing generality - and by its focus on practical medium-granularity parallelism, approachable through traditional programming languages. Several of the authors used their invitation to participate as a chance to stand back and create a unified overview, which nonspecialists will appreciate. |
| computer science master's degree requirements: Urban Geoscience G. McCall, 1996-07-31 This volume looks at the increasing demand for geoscientific input to planning urban land use, rectifying problems of decay and poor prior procedures, rehabilitating land after the closure of extractive and other industries, designing new constructions, and environmental assessment. |
| computer science master's degree requirements: 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 master's degree requirements: Application of Computational Techniques in Pharmacy and Medicine Leonid Gorb, Victor Kuz'min, Eugene Muratov, 2014-11-07 The proposed volume provides both fundamental and detailed information about the computational and computational-experimental studies which improve our knowledge of how leaving matter functions, the different properties of drugs (including the calculation and the design of new ones), and the creation of completely new ways of treating numerical diseases. Whenever it is possible, the interplay between theory and experiment is provided. The book features computational techniques such as quantum-chemical and molecular dynamic approaches and quantitative structure–activity relationships. The initial chapters describe the state-of-the art research on the computational investigations in molecular biology, molecular pharmacy, and molecular medicine performed with the use of pure quantum-chemical techniques. The central part of the book illustrates the status of computational techniques that utilize hybrid, so called QM/MM approximations as well as the results of the QSAR studies which now are the most popular in predicting drugs’ efficiency. The last chapters describe combined computational and experimental investigations. |
| computer science master's degree requirements: 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 |
| computer science master's degree requirements: 101 Careers in Mathematics: Fourth Edition Deanna Haunsperger, Robert Thompson, 2019-09-24 What can you do with a degree in math? This book addresses this question with 125 career profiles written by people with degrees and backgrounds in mathematics. With job titles ranging from sports analyst to science writer to inventory specialist to CEO, the volume provides ample evidence that one really can do nearly anything with a degree in mathematics. These professionals share how their mathematical education shaped their career choices and how mathematics, or the skills acquired in a mathematics education, is used in their daily work. The degrees earned by the authors profiled here are a good mix of bachelors, masters, and PhDs. With 114 completely new profiles since the third edition, the careers featured within accurately reflect current trends in the job market. College mathematics faculty, high school teachers, and career counselors will all find this a useful resource. Career centers, mathematics departments, and student lounges should have a copy available for student browsing. In addition to the career profiles, the volume contains essays from career counseling professionals on the topics of job-searching, interviewing, and applying to graduate school. |
| computer science master's degree requirements: Getting What You Came For Robert Peters, 2023-08-29 Is graduate school right for you? Should you get a master's or a Ph.D.? How can you choose the best possible school? This classic guide helps students answer these vital questions and much more. It will also help graduate students finish in less time, for less money, and with less trouble. Based on interviews with career counselors, graduate students, and professors, Getting What You Came For is packed with real-life experiences. It has all the advice a student will need not only to survive but to thrive in graduate school, including: instructions on applying to school and for financial aid; how to excel on qualifying exams; how to manage academic politics—including hostile professors; and how to write and defend a top-notch thesis. Most important, it shows you how to land a job when you graduate. |
| computer science master's degree requirements: Operating Systems William Stallings, 2009 For a one-semester undergraduate course in operating systems for computer science, computer engineering, and electrical engineering majors. Winner of the 2009 Textbook Excellence Award from the Text and Academic Authors Association (TAA)! Operating Systems: Internals and Design Principles is a comprehensive and unified introduction to operating systems. By using several innovative tools, Stallings makes it possible to understand critical core concepts that can be fundamentally challenging. The new edition includes the implementation of web based animations to aid visual learners. At key points in the book, students are directed to view an animation and then are provided with assignments to alter the animation input and analyze the results. The concepts are then enhanced and supported by end-of-chapter case studies of UNIX, Linux and Windows Vista. These provide students with a solid understanding of the key mechanisms of modern operating systems and the types of design tradeoffs and decisions involved in OS design. Because they are embedded into the text as end of chapter material, students are able to apply them right at the point of discussion. This approach is equally useful as a basic reference and as an up-to-date survey of the state of the art. |
| computer science master's degree requirements: Engineering Problems William Macgregor Wallace, 1914 |
| computer science master's degree requirements: Mathematics for Computer Science Eric Lehman, F. Thomson Leighton, Albert R. Meyer, 2017-03-08 This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions. |
| computer science master's degree requirements: Graduate Programs in Engineering & Applied Sciences 2011 (Grad 5) Peterson's, 2011-05-01 Peterson's Graduate Programs in Engineering & Applied Sciences contains a wealth of information on colleges and universities that offer graduate degrees in the fields of Aerospace/Aeronautical Engineering; Agricultural Engineering & Bioengineering; Architectural Engineering, Biomedical Engineering & Biotechnology; Chemical Engineering; Civil & Environmental Engineering; Computer Science & Information Technology; Electrical & Computer Engineering; Energy & Power engineering; Engineering Design; Engineering Physics; Geological, Mineral/Mining, and Petroleum Engineering; Industrial Engineering; Management of Engineering & Technology; Materials Sciences & Engineering; Mechanical Engineering & Mechanics; Ocean Engineering; Paper & Textile Engineering; and Telecommunications. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the specific program or department, faculty members and their research, and links to the program Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
| computer science master's degree requirements: Graduate Programs in Engineering & Applied Sciences 2015 (Grad 5) Peterson's, 2014-11-11 Peterson's Graduate Programs in Engineering & Applied Sciences 2015 contains comprehensive profiles of more than 3,850 graduate programs in all relevant disciplines-including aerospace/aeronautical engineering, agricultural engineering & bioengineering, chemical engineering, civil and environmental engineering, computer science and information technology, electrical and computer engineering, industrial engineering, telecommunications, and more. Two-page in-depth descriptions, written by featured institutions, offer complete details on a specific graduate program, school, or department as well as information on faculty research. Comprehensive directories list programs in this volume, as well as others in the Peterson's graduate series. |
| computer science master's degree requirements: The Computational Beauty of Nature Gary William Flake, 2000-01-27 Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. In this book Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing agents (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as beautiful and interesting. From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation. Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks. |
| computer science master's degree requirements: The Ring Programming Language Mahmoud Fayed, 2017-03-04 Innovative and practical general-purpose multi-paradigm language. |
| computer science master's degree requirements: Higher Education Opportunity Act United States, 2008 |
| computer science master's degree requirements: 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 master's degree requirements: Elements of ML Programming Jeffrey D. Ullman, 1998-01 This highly accessible introduction to the fundamentals of ML is presented by computer science educator and author, Jeffrey D. Ullman. The primary change in the Second Edition is that it has been thoroughly revised and reorganized to conform to the new language standard called ML97. This is the first book that offers both an accurate step-by-step tutorial to ML programming and a comprehensive reference to advanced features. It is the only book that focuses on the popular SML/NJ implementation. The material is arranged for use in sophomore through graduate level classes or for self-study. This text assumes no previous knowledge of ML or functional programming, and can be used to teach ML as a first programming language. It is also an excellent supplement or reference for programming language concepts, functional programming, or compiler courses. |
| computer science master's degree requirements: Codeless Data Structures and Algorithms Armstrong Subero, 2020-02-13 In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation. A solid grasp of data structures and algorithms (DSA) is imperative for anyone looking to do professional software development and engineering, but classes in the subject can be dry or spend too much time on theory and unnecessary readings. Regardless of your programming language background, Codeless Data Structures and Algorithms has you covered. In this book, author Armstrong Subero will help you learn DSAs without writing a single line of code. Straightforward explanations and diagrams give you a confident handle on the topic while ensuring you never have to open your code editor, use a compiler, or look at an integrated development environment. Subero introduces you to linear, tree, and hash data structures and gives you important insights behind the most common algorithms that you can directly apply to your own programs. Codeless Data Structures and Algorithms provides you with the knowledge about DSAs that you will need in the professional programming world, without using any complex mathematics or irrelevant information. Whether you are a new developer seeking a basic understanding of the subject or a decision-maker wanting a grasp of algorithms to apply to your projects, this book belongs on your shelf. Quite often, a new, refreshing, and unpretentious approach to a topic is all you need to get inspired. What You'll LearnUnderstand tree data structures without delving into unnecessary details or going into too much theoryGet started learning linear data structures with a basic discussion on computer memory Study an overview of arrays, linked lists, stacks and queues Who This Book Is ForThis book is for beginners, self-taught developers and programmers, and anyone who wants to understand data structures and algorithms but don’t want to wade through unnecessary details about quirks of a programming language or don’t have time to sit and read a massive book on the subject. This book is also useful for non-technical decision-makers who are curious about how algorithms work. |
| computer science master's degree requirements: The Golden Passport Duff McDonald, 2017-04-25 With The Firm, financial journalist Duff McDonald pulled back the curtain on consulting giant McKinsey & Company. In The Golden Passport, he reveals the inner works of a singular nexus of power, ambition, and influence: Harvard Business School. Harvard University still occupies a unique place in the public’s imagination, but the Harvard Business School eclipsed its parent in terms of influence on modern society long ago. A Harvard degree guarantees respect. But a Harvard MBA near-guarantees entrance into Western capitalism’s most powerful realm—the corner office. And because the School shapes the way its powerful graduates think, its influence extends well beyond their own lives. It affects the organizations they command, the economy they dominate, and society itself. Decisions and priorities at HBS touch every single one of us. Most people have a vague knowledge of the power of the HBS network, but few understand the dynamics that have made HBS an indestructible and dominant force for almost a century. Graduates of HBS share more than just an alma mater. They also share a way of thinking about how the world should work, and they have successfully molded the world to that vision—that is what truly binds them together. In addition to teasing out the essence of this exclusive, if not necessarily “secret” club, McDonald explores two important questions: Has the school failed at reaching the goal it set for itself—“the multiplication of men who will handle their current business problems in socially constructive ways?” Is HBS complicit in the moral failings of Western capitalism? At a time of soaring economic inequality and growing political unrest, this hard-hitting yet fair portrait offers a much-needed look at an institution that has had a profound influence not just in the world of business but on the shape of our society—and on all our lives. |
| computer science master's degree requirements: Web 2.0 & Semantic Web Vladan Deved#ic, Dragan Ga#evic, 2009-11-23 According to the W3C Semantic Web Activity [1]: The Semantic Web provides a common framework that allows data to be shared and reused across appli- tion, enterprise, and community boundaries. This statement clearly explains that the Semantic Web is about data sharing. Currently, the Web uses hyperlinks to connect Web pages. The Semantic Web goes beyond that and focuses on data and envisions the creation of the web of data. On the Semantic Web, anyone can say anything about any resource on the Web. This is fully based on the concept of semantic - notations, where each resource on the Web can have an assigned meaning. This is done through the use of ontologies as a formal and explicit representation of domain concepts and their relationships [2]. Ontologies are formally based on description logics. This enables agents and applications to reason over the data when searching the Web, which has not previously been possible. Web 2. 0 has gradually evolved from letting the Web users play a more active role. Unlike the initial version of the Web, where the users mainly “consumed” content, users are now offered easy-to-use services for content production and publication. Mashups, blogs, wikis, feeds, interface remixes, and social networking/tagging s- tems are examples of these well-known services. The success and wide adoption of Web 2. 0 was in its reliance on social interactions as an inevitable characteristic of the use and life of the Web. In particular, Web 2. |
| computer science master's degree requirements: Barron's GRE Sharon Weiner Green, Ira K. Wolf, 2015-06-01 This newly revised and updated manual presents a test overview of the GRE, test-taking advice, and a timetable for a typical computer-based test. Added features include— A diagnostic test with an answer key and answer explanations A verbal reasoning review with practice questions in sentence completion and reading comprehension An analytical writing review with scoring guidelines and practice exercises A quantitative reasoning review that includes general math strategies, discrete quantitative questions, quantitative comparison questions, and data interpretation questions Two full-length model GRE tests with answer keys and answer explanations The manual can be purchased alone, or with an optional CD-ROM that includes two additional full-length computer-based GREs with all questions answered and explained and automatic scoring BONUS: FREE ONLINE GRE COURSE With purchase of either version of Barron’s comprehensive GRE manual, test takers also get FREE access to Barron’s Online GRE Course. When they go online with Barron’s, they get: A diagnostic test to establish their skill profile A personalized GRE study plan to help focus time and energy Expert video lessons with solutions to help them master difficult concepts Additional practice quizzes and extra questions to help optimize their score A comprehensive GRE skill report to monitor progress GRE score projection A FREE iPad app for easy studying on the go This customized online course adapts to each individual's specific needs. Getting a great score has never been more personal or more convenient! |
MASTER’S Computer Science - University of Colorado Denver
MS courses are divided into 3 categories: A, B and C. The number of credit hours required by category vary by a student’s plan (thesis, project or course only). Students must consult with their advisor to develop a MS Plan of Study during their first semester. This plan should be modified and updated during their … See more
Master’s Degree Program Guide - University of Texas at …
Present departmental requirements for the master's programs include: 1. An undergraduate degree, preferably in an area related to computer science, computer engineering, or software …
Guide to the MSCS Program Sheet - Computer Science
understand the requirements for the Master of Science in Computer Science (MSCS) and, more specifically, how to use the MSCS program sheet which details your specific course of study …
Computer Science MS - Northwestern University
Prerequisites: Prior to their first quarter of study, MS students in Computer Science must take a preliminary exam covering topics in our undergraduate CS core sequence (COMP_SCI 111-0, …
Computer Science, Master of Science - Johns Hopkins University
Applicants (degree seeking and special student) must meet the general requirements for admission (https://e-catalogue.jhu.edu/engineering/ engineering-professionals/admission …
Computer Science, Master of Science - California State …
The Master's Program in Computer Science is a two-year program in which a student must complete a required core of courses and additional concentration and general computer …
Computer Science (MS) - North Carolina State University
complete the requirements for both the Bachelor’s and Master’s degrees at an accelerated pace. These undergraduate students may double count up to 12 credits and obtain a non-thesis …
Master of Science in Computer Science - Northeastern Illinois …
Requirements for the Degree: The Master’s Degree in Computer Science requires 36 credit hours of course work, 27 of which must be earned at Northeastern Illinois University. The remaining …
Computer Science Master's - catalog.ndsu.edu
CSCI 797 Master's Paper 2-4 Culminating Experience-Based Option (Plan C) 36 Additional Graduate Coursework 24 Additional requirements for the Master of Science in Computer …
Master of Science (M.S.) Major in Computer Science (Non …
Degree Requirements The Master of Science (M.S.) major in Computer Science requires 30 semester credit hours. Background Requirements Students are required to fulfill background …
Computer Science Master of Science Program Handbook
The Computer Science Master of Science (CS MS) Program Handbook (handbook) outlines the policies of the CS MS Program at Emory University. Policies pertaining to the Computer …
Master Degree Program in Computer Science (CS)
The curriculum for the Master of Science in Computer Science has both a thesis and a project option. A minimum of 36 semester hours of graduate course work is required for either option …
MASTER’S Computer Science - engineering.ucdenver.edu
Master’s degree candidates are required to complete a program of study consisting of a minimum of 30 semester hours of graduate level Computer Science courses while maintaining a …
MSE Computer Science Manual
In addition to these 8 required courses, a graduate student must elect one of the following options in order to complete the MSE degree requirements: A faculty-supervised research project …
Computer Science Master of Science Program Handbook
Students must take three required courses and at least four elective courses. The specific sets of required and elective courses depend upon a student’s chosen CS MS track, CS or BMI. The …
Requirements for the Master of Science (MS) Degree in …
3.1 The MS degree requirements include 30-33 credit hours of graduate-level credit. International students may have attendance requirements to maintain their immigration status. 3.2 Students …
MSE Computer Science Manual
General Graduate Degree Requirements . 1. Residency Requirement: Every master’s student must register as a full-time graduate student for at least two semesters. (Concurrent bachelor’s …
Computer Science, M.S. - Baylor University
A bachelor’s degree equivalent to the B.S. in computer science at Baylor or the B.A. in computer science at Baylor with calculus II and linear algebra is the standard requirement for admission.
Computer Science - University of Colorado Denver
Master’s degree candidates are required to complete a program of study consisting of a minimum of 30 semester hours of graduate level computer science courses while maintaining a …
MASTER’S Computer Science - University of Colorado Denver
Master’s degree candidates are required to complete a program of study consisting of a minimum of 30 semester hours of graduate level computer science courses while maintaining a …
Master’s Degree Program Guide - University of Texas at …
Present departmental requirements for the master's programs include: 1. An undergraduate degree, preferably in an area related to computer science, computer engineering, or software …
Guide to the MSCS Program Sheet - Computer Science
understand the requirements for the Master of Science in Computer Science (MSCS) and, more specifically, how to use the MSCS program sheet which details your specific course of study …
Computer Science MS - Northwestern University
Prerequisites: Prior to their first quarter of study, MS students in Computer Science must take a preliminary exam covering topics in our undergraduate CS core sequence (COMP_SCI 111-0, …
Computer Science, Master of Science - Johns Hopkins …
Applicants (degree seeking and special student) must meet the general requirements for admission (https://e-catalogue.jhu.edu/engineering/ engineering-professionals/admission …
Computer Science, Master of Science - California State …
The Master's Program in Computer Science is a two-year program in which a student must complete a required core of courses and additional concentration and general computer …
Computer Science (MS) - North Carolina State University
complete the requirements for both the Bachelor’s and Master’s degrees at an accelerated pace. These undergraduate students may double count up to 12 credits and obtain a non-thesis …
Master of Science in Computer Science - Northeastern …
Requirements for the Degree: The Master’s Degree in Computer Science requires 36 credit hours of course work, 27 of which must be earned at Northeastern Illinois University. The remaining …
Computer Science Master's - catalog.ndsu.edu
CSCI 797 Master's Paper 2-4 Culminating Experience-Based Option (Plan C) 36 Additional Graduate Coursework 24 Additional requirements for the Master of Science in Computer …
Master of Science (M.S.) Major in Computer Science (Non …
Degree Requirements The Master of Science (M.S.) major in Computer Science requires 30 semester credit hours. Background Requirements Students are required to fulfill background …
Computer Science Master of Science Program Handbook
The Computer Science Master of Science (CS MS) Program Handbook (handbook) outlines the policies of the CS MS Program at Emory University. Policies pertaining to the Computer …
Master Degree Program in Computer Science (CS)
The curriculum for the Master of Science in Computer Science has both a thesis and a project option. A minimum of 36 semester hours of graduate course work is required for either option …
MASTER’S Computer Science - engineering.ucdenver.edu
Master’s degree candidates are required to complete a program of study consisting of a minimum of 30 semester hours of graduate level Computer Science courses while maintaining a …
MSE Computer Science Manual
In addition to these 8 required courses, a graduate student must elect one of the following options in order to complete the MSE degree requirements: A faculty-supervised research project …
Computer Science Master of Science Program Handbook
Students must take three required courses and at least four elective courses. The specific sets of required and elective courses depend upon a student’s chosen CS MS track, CS or BMI. The …
Requirements for the Master of Science (MS) Degree in …
3.1 The MS degree requirements include 30-33 credit hours of graduate-level credit. International students may have attendance requirements to maintain their immigration status. 3.2 Students …
MSE Computer Science Manual
General Graduate Degree Requirements . 1. Residency Requirement: Every master’s student must register as a full-time graduate student for at least two semesters. (Concurrent bachelor’s …
Computer Science, M.S. - Baylor University
A bachelor’s degree equivalent to the B.S. in computer science at Baylor or the B.A. in computer science at Baylor with calculus II and linear algebra is the standard requirement for admission.
Computer Science - University of Colorado Denver
Master’s degree candidates are required to complete a program of study consisting of a minimum of 30 semester hours of graduate level computer science courses while maintaining a …
