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| computer science masters 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 masters 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 masters requirements: Sequences and Power Series , |
| computer science masters 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 masters 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 masters 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 masters 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 masters 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 masters 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 masters 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 masters 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 masters 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 masters requirements: Data Privacy and Security J. J. P. Kenny, 1985 |
| computer science masters 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 masters 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 masters 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 masters requirements: 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 masters requirements: Computer Science Distilled Wladston Ferreira Filho, 2017-01-17 A walkthrough of computer science concepts you must know. Designed for readers who don't care for academic formalities, it's a fast and easy computer science guide. It teaches the foundations you need to program computers effectively. After a simple introduction to discrete math, it presents common algorithms and data structures. It also outlines the principles that make computers and programming languages work. |
| computer science masters requirements: The Best Business Schools' Admissions Secrets Chioma Isiadinso M.Ed., 2014-08-05 The top secrets to getting into the best MBA programs, from a leading industry expert Top MBA programs reject more than 80 percent of their applicants, but author Chioma Isiadinso's admissions consulting firm has successfully guided 90 percent of her students into the best business schools around the world. As a former Admissions Board Member, Isiadinso offers insider tips and strategies to help applicants get into the school of their choice by building and promoting their personal brand. This revised and updated edition now offers: the do's and don'ts of social media networking sample admissions essays that worked an international perspective for global admissions appeal |
| computer science masters requirements: Graduate School David Gerald Mumby, 1997 Dr. Mumby is Associate Professor of Psychology at Concordia University |
| computer science masters 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 masters requirements: 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 masters 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 masters 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 masters requirements: Mathematical Epidemiology Fred Brauer, Pauline van den Driessche, J. Wu, 2008-04-30 Based on lecture notes of two summer schools with a mixed audience from mathematical sciences, epidemiology and public health, this volume offers a comprehensive introduction to basic ideas and techniques in modeling infectious diseases, for the comparison of strategies to plan for an anticipated epidemic or pandemic, and to deal with a disease outbreak in real time. It covers detailed case studies for diseases including pandemic influenza, West Nile virus, and childhood diseases. Models for other diseases including Severe Acute Respiratory Syndrome, fox rabies, and sexually transmitted infections are included as applications. Its chapters are coherent and complementary independent units. In order to accustom students to look at the current literature and to experience different perspectives, no attempt has been made to achieve united writing style or unified notation. Notes on some mathematical background (calculus, matrix algebra, differential equations, and probability) have been prepared and may be downloaded at the web site of the Centre for Disease Modeling (www.cdm.yorku.ca). |
| computer science masters requirements: Museums and Digital Culture Tula Giannini, Jonathan P. Bowen, 2019-05-06 This book explores how digital culture is transforming museums in the 21st century. Offering a corpus of new evidence for readers to explore, the authors trace the digital evolution of the museum and that of their audiences, now fully immersed in digital life, from the Internet to home and work. In a world where life in code and digits has redefined human information behavior and dominates daily activity and communication, ubiquitous use of digital tools and technology is radically changing the social contexts and purposes of museum exhibitions and collections, the work of museum professionals and the expectations of visitors, real and virtual. Moving beyond their walls, with local and global communities, museums are evolving into highly dynamic, socially aware and relevant institutions as their connections to the global digital ecosystem are strengthened. As they adopt a visitor-centered model and design visitor experiences, their priorities shift to engage audiences, convey digital collections, and tell stories through exhibitions. This is all part of crafting a dynamic and innovative museum identity of the future, made whole by seamless integration with digital culture, digital thinking, aesthetics, seeing and hearing, where visitors are welcomed participants. The international and interdisciplinary chapter contributors include digital artists, academics, and museum professionals. In themed parts the chapters present varied evidence-based research and case studies on museum theory, philosophy, collections, exhibitions, libraries, digital art and digital future, to bring new insights and perspectives, designed to inspire readers. Enjoy the journey! |
| computer science masters 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 masters requirements: Parallel & Distributed Algorithms Michel Cosnard, 1989 Mathematics of Computing -- Parallelism. |
| computer science masters 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 masters requirements: Online Credibility and Digital Ethos: Evaluating Computer-Mediated Communication Folk, Moe, 2012-12-31 Digital technology plays a vital role in today's need for instant information access. The simplicity of acquiring and publishing online information presents new challenges in establishing and evaluating online credibility. Online Credibility and Digital Ethos: Evaluating Computer-Mediated Communication highlights important approaches to evaluating the credibility of digital sources and techniques used for various digital fields. This book brings together research in computer mediated communication along with the affects digital culture and online credibility. |
| computer science masters requirements: Distributed Computing Ajay D. Kshemkalyani, Mukesh Singhal, 2011-03-03 Designing distributed computing systems is a complex process requiring a solid understanding of the design problems and the theoretical and practical aspects of their solutions. This comprehensive textbook covers the fundamental principles and models underlying the theory, algorithms and systems aspects of distributed computing. Broad and detailed coverage of the theory is balanced with practical systems-related issues such as mutual exclusion, deadlock detection, authentication, and failure recovery. Algorithms are carefully selected, lucidly presented, and described without complex proofs. Simple explanations and illustrations are used to elucidate the algorithms. Important emerging topics such as peer-to-peer networks and network security are also considered. With vital algorithms, numerous illustrations, examples and homework problems, this textbook is suitable for advanced undergraduate and graduate students of electrical and computer engineering and computer science. Practitioners in data networking and sensor networks will also find this a valuable resource. Additional resources are available online at www.cambridge.org/9780521876346. |
| computer science masters 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 masters 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 masters requirements: The Ph.D. Process Dale F. Bloom, Jonathan D. Karp, Nicholas Cohen, 1999-02-25 The Ph.D. Process offers the essential guidance that students in the biological and physical sciences need to get the most out of their years in graduate school. Drawing upon the insights of numerous current and former graduate students, this book presents a rich portrayal of the intellectual and emotional challenges inherent in becoming a scientist, and offers the informed, practical advice a best friend would give about each stage of the graduate school experience. What are the best strategies for applying to a graduate program? How are classes conducted? How should I choose an advisor and a research project? What steps can I take now to make myself more employable when I get my degree? What goes on at the oral defense? Through a balanced, thorough examination of issues ranging from lab etiquette to research stress, the authors--each a Ph.D. in the sciences--provide the vital information that will allow students to make informed decisions all along the way to the degree. Headlined sections within each chapter make it fast and easy to look up any subject, while dozens of quotes describing personal experiences in graduate programs from people in diverse scientific fields contribute invaluable real-life expertise. Special attention is also given to the needs of international students. Read in advance, this book prepares students for each step of the graduate school experience that awaits them. Read during the course of a graduate education, it serves as a handy reference covering virtually all major issues and decisions a doctoral candidate is likely to face. The Ph.D. Process is the one book every graduate student in the biological and physical sciences can use to stay a step ahead, from application all the way through graduation. |
| computer science masters 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 masters requirements: Environment Jay Withgott, Matthew Laposata, 2018 For courses in introductory environmental science. Help Students Connect Current Environmental Issues to the Science Behind Them Environment: The Science behind the Stories is a best seller for the introductory environmental science course known for its student-friendly narrative style, its integration of real stories and case studies, and its presentation of the latest science and research. The 6th Edition features new opportunities to help students see connections between integrated case studies and the science in each chapter, and provides them with opportunities to apply the scientific process to environmental concerns. Also available with Mastering Environmental Science Mastering(tm) Environmental Science is an online homework, tutorial, and assessment system designed to improve results by helping students quickly master concepts. Students benefit from self-paced tutorials that feature personalized wrong-answer feedback and hints that emulate the office-hour experience and help keep students on track. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Note: You are purchasing a standalone product; Mastering(tm) Environmental Science does not come packaged with this content. Students, if interested in purchasing this title with Mastering Environmental Science, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and Mastering Environmental Science, search for: 0134145933 / 9780134145938 Environment: The Science behind the Stories Plus Mastering Environmental Science with eText -- Access Card Package Package consists of: 0134204883 / 9780134204888 Environment: The Science behind the Stories 0134510194 / 9780134510194 Mastering Environmental Science with Pearson eText -- ValuePack Access Card -- for Environment: The Science behind the Stories Environment: The Science behind the Stories , 6th Edition is also available via Pearson eText, a simple-to-use, mobile, personalized reading experience that lets instructors connect with and motivate students -- right in their eTextbook. Learn more. |
| computer science masters requirements: The Ring Programming Language Mahmoud Fayed, 2017-03-04 Innovative and practical general-purpose multi-paradigm language. |
| computer science masters requirements: Graduate School David G. Mumby, 2012 Aimed at college and university students in all major fields of study, this book covers everything one needs to know about how to apply successfully to graduate school in North America. |
| computer science masters 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 masters requirements: Bioinformatics and Computational Biology Hamid R. Arabnia, Fernando G. Tinetti, Quoc-Nam Tran, 2020-03-13 Proceedings of the 2019 International Conference on Bioinformatics & Computational Biology (BIOCOMP'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada. |
Computer Science MS Graduate Study Manual
There are three degree plans available, described below. Plan C (course-only) is the default plan for every CS MS student. A student who wishes to do Plan A (thesis) or B (project) must …
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