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| cs7641 final exam questions: Study Guide 1 DCCCD Staff, Dcccd, 1995-11 |
| cs7641 final exam questions: Learning from Data Yaser S. Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin, 2012-01-01 |
| cs7641 final exam questions: Data Structures and Algorithm Analysis in Java, Third Edition Clifford A. Shaffer, 2012-09-06 Comprehensive treatment focuses on creation of efficient data structures and algorithms and selection or design of data structure best suited to specific problems. This edition uses Java as the programming language. |
| cs7641 final exam questions: Machine Learning Jaime Guillermo Carbonell, 1989 |
| cs7641 final exam questions: Proceedings of the international conference on Machine Learning John Anderson, E. R. Bareiss, Ryszard Stanisław Michalski, 19?? |
| cs7641 final exam questions: Machine Learning Algorithms From Scratch with Python Jason Brownlee, 2016-11-16 You must understand algorithms to get good at machine learning. The problem is that they are only ever explained using Math. No longer. In this Ebook, finally cut through the math and learn exactly how machine learning algorithms work. Using clear explanations, simple pure Python code (no libraries!) and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement a suite of linear, nonlinear and ensemble machine learning algorithms from scratch. |
| cs7641 final exam questions: Machine Learning Jason Bell, 2020-02-17 Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper. |
| cs7641 final exam questions: Database Systems Elvis Foster, Shripad Godbole, 2014-12-24 Database Systems: A Pragmatic Approach is a classroom textbook for use by students who are learning about relational databases, and the professors who teach them. It discusses the database as an essential component of a software system, as well as a valuable, mission critical corporate resource. The book is based on lecture notes that have been tested and proven over several years, with outstanding results. It also exemplifies mastery of the technique of combining and balancing theory with practice, to give students their best chance at success. Upholding his aim for brevity, comprehensive coverage, and relevance, author Elvis C. Foster's practical and methodical discussion style gets straight to the salient issues, and avoids unnecessary fluff as well as an overkill of theoretical calculations. The book discusses concepts, principles, design, implementation, and management issues of databases. Each chapter is organized systematically into brief, reader-friendly sections, with itemization of the important points to be remembered. It adopts a methodical and pragmatic approach to solving database systems problems. Diagrams and illustrations also sum up the salient points to enhance learning. Additionally, the book includes a number of Foster's original methodologies that add clarity and creativity to the database modeling and design experience while making a novel contribution to the discipline. Everything combines to make Database Systems: A Pragmatic Approach an excellent textbook for students, and an excellent resource on theory for the practitioner. |
| cs7641 final exam questions: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-10 An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. |
| cs7641 final exam questions: What Hedge Funds Really Do Philip J. Romero, Tucker Balch, 2014-09-01 This book draws the curtain back on the core building blocks of many hedge fund strategies. What do hedge funds really do? These lightly regulated funds continually innovate new investing and trading strategies to take advantage of temporary mispricing of assets (when their market price deviates from their intrinsic value). These techniques are shrouded in mystery, which permits hedge fund managers to charge exceptionally high fees. While the details of each fund’s approach are carefully guarded trade secrets, this book draws the curtain back on the core building blocks of many hedge fund strategies. As an instructional text, it will assist two types of students: Economics and finance students interested in understanding what “quants” do, and Software specialists interested in applying their skills to programming trading systems. What Hedge Funds Really Do provides a needed complement to journalistic accounts of the hedge fund industry, to deepen the understanding of nonspecialist readers such as policy makers, journalists, and individual investors. The book is organized in modules to allow different readers to focus on the elements of this topic that most interest them. Its authors are a fund practitioner and a computer scientist (Balch), in collaboration with a public policy economist and finance academic (Romero). |
| cs7641 final exam questions: Research and Technology Goddard Space Flight Center, 1990 |
| cs7641 final exam questions: Street-Fighting Mathematics Sanjoy Mahajan, 2010-03-05 An antidote to mathematical rigor mortis, teaching how to guess answers without needing a proof or an exact calculation. In problem solving, as in street fighting, rules are for fools: do whatever works—don't just stand there! Yet we often fear an unjustified leap even though it may land us on a correct result. Traditional mathematics teaching is largely about solving exactly stated problems exactly, yet life often hands us partly defined problems needing only moderately accurate solutions. This engaging book is an antidote to the rigor mortis brought on by too much mathematical rigor, teaching us how to guess answers without needing a proof or an exact calculation. In Street-Fighting Mathematics, Sanjoy Mahajan builds, sharpens, and demonstrates tools for educated guessing and down-and-dirty, opportunistic problem solving across diverse fields of knowledge—from mathematics to management. Mahajan describes six tools: dimensional analysis, easy cases, lumping, picture proofs, successive approximation, and reasoning by analogy. Illustrating each tool with numerous examples, he carefully separates the tool—the general principle—from the particular application so that the reader can most easily grasp the tool itself to use on problems of particular interest. Street-Fighting Mathematics grew out of a short course taught by the author at MIT for students ranging from first-year undergraduates to graduate students ready for careers in physics, mathematics, management, electrical engineering, computer science, and biology. They benefited from an approach that avoided rigor and taught them how to use mathematics to solve real problems. Street-Fighting Mathematics will appear in print and online under a Creative Commons Noncommercial Share Alike license. |
| cs7641 final exam questions: Data Mining: Concepts and Techniques Jiawei Han, Micheline Kamber, Jian Pei, 2011-06-09 Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data |
| cs7641 final exam questions: Nazi Germany and the Jews, 1933–1945 Saul Friedländer, Orna Kenan, 2009-03-03 Nazi Germany and the Jews, 1933-1945 is an abridged edition of Saul Friedländer's definitive Pulitzer Prize-winning two-volume history of the Holocaust: Nazi Germany and the Jews: The Years of Persecution, 1933-1939 and The Years of Extermination: Nazi Germany and the Jews, 1939-1945. The book's first part, dealing with the National Socialist campaign of oppression, restores the voices of Jews who were engulfed in an increasingly horrifying reality following the Nazi accession to power. Friedländer also provides the accounts of the persecutors themselves—and, perhaps most telling of all, the testimonies of ordinary German citizens who, in general, stood silent and unmoved by the increasing waves of segregation, humiliation, impoverishment, and violence. The second part covers the German extermination policies that resulted in the murder of six million European Jews—an official program that depended upon the cooperation of local authorities and police departments, the passivity of the populations, and the willingness of the victims to submit in desperate hope of surviving long enough to escape the German vise. A monumental, multifaceted study now contained in a single volume, Saul Friedländer's Nazi Germany and the Jews, 1933-1945 is an essential study of a dark and complex history. |
| cs7641 final exam questions: 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. |
| cs7641 final exam questions: User Interface Design and Evaluation Debbie Stone, Caroline Jarrett, Mark Woodroffe, Shailey Minocha, 2005-04-29 User Interface Design and Evaluation provides an overview of the user-centered design field. It illustrates the benefits of a user-centered approach to the design of software, computer systems, and websites. The book provides clear and practical discussions of requirements gathering, developing interaction design from user requirements, and user interface evaluation. The book's coverage includes established HCI topics—for example, visibility, affordance, feedback, metaphors, mental models, and the like—combined with practical guidelines for contemporary designs and current trends, which makes for a winning combination. It provides a clear presentation of ideas, illustrations of concepts, using real-world applications. This book will help readers develop all the skills necessary for iterative user-centered design, and provides a firm foundation for user interface design and evaluation on which to build. It is ideal for seasoned professionals in user interface design and usability engineering (looking for new tools with which to expand their knowledge); new people who enter the HCI field with no prior educational experience; and software developers, web application developers, and information appliance designers who need to know more about interaction design and evaluation. - Co-published by the Open University, UK. - Covers the design of graphical user interfaces, web sites, and interfaces for embedded systems. - Full color production, with activities, projects, hundreds of illustrations, and industrial applications. |
| cs7641 final exam questions: Cambridge IGCSE and O Level History 2nd Edition Ben Walsh, 2018-05-08 Exam board: Cambridge Assessment International Education Level: IGCSE Subject: History First teaching: September 2018 First exams: Summer 2020 This title is endorsed by Cambridge Assessment International Education to support Option B for examination from 2020. Rely on author Ben Walsh's bestselling approach to navigate through the content of the latest Cambridge IGCSE and O Level History syllabuses (0470/0977/2147), and help to prepare for examination. - Deepen understanding through clear and engaging text to build the content knowledge required by the course. - Develop analytical skills through carefully designed Focus Tasks on all the Focus Points or Key Questions from the syllabus. - Get a feel for the period and the issues through abundant source material that also ensures regular practice of source evaluation skills. - Remember historical facts better through memorable diagrams and timelines. - Consolidate learning with Exam Focus features suggesting how to tackle exam-style questions. The course covers all the Key Questions and Focus Points for Core Content Option B 'The 20th century: International Relations since 1919' and selected depth studies: Germany, 1918-45; Russia, 1905-41; The USA, 1919-41. |
| cs7641 final exam questions: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| cs7641 final exam questions: Fundamentals of Database Systems: Pearson New International Edition Ramez Elmasri, Shamkant Navathe, 2013-08-29 Clear explanations of theory and design, broad coverage of models and real systems, and an up-to-date introduction to modern database technologies result in a leading introduction to database systems. Intended for computer science majors, this text emphasizes math models, design issues, relational algebra, and relational calculus. A lab manual and problems give students opportunities to practice the fundamentals of design and implementation. Real-world examples serve as engaging, practical illustrations of database concepts. The Sixth Edition maintains its coverage of the most popular database topics, including SQL, security, and data mining, and features increased emphasis on XML and semi-structured data. |
| cs7641 final exam questions: Innovative Approaches to Teaching Technical Communication Tracy Bridgeford, Karla Saari Kitalong, Dickie Selfe, 2004 Programs in technical writing, technical communication, and/or professional communication have recently grown in enrollment as the demand among employers for formally prepared technical writers and editors has grown. In response, scholarly treatments of the subject and the teaching of technical writing are also burgeoning, and the body of research and theory being published in this field is many times larger and more accessible than it was even a decade ago. Although many theoretical and disciplinary perspectives can potentially inform technical communication teaching, administration, and curriculum development, the actual influences on the field's canonical texts have traditionally come from a rather limited range of disciplines. Innovative Approaches to Teaching Technical Communication brings together a wide range of scholars/teachers to expand the existing canon. |
| cs7641 final exam questions: Sleeping Ugly Jane Yolen, 1997-04 When beautiful Princes Miserella, Plain Jane, and a fairy fall under a sleeping spell, a prince undoes the spell in a surprising way. |
| cs7641 final exam questions: Artificial Intelligence Stuart Russell, Peter Norvig, 2016-09-10 Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. |
| cs7641 final exam questions: A Practical Guide to Data Structures and Algorithms using Java Sally. A Goldman, Kenneth. J Goldman, 2007-08-23 Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to |
| cs7641 final exam questions: Python for Finance Yves Hilpisch, 2014-12-11 The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies |
| cs7641 final exam questions: Performance Evaluation of Communication Networks Gary N. Higginbottom, 1998 This volume describes the mathematical methods used to analyze and model the performance of communication networks of all types, from simple to complex. It addresses traffic on LANs, WANs, and voice and video networks, providing practical methods that can be applied to standards such as ATM. The book aims to help readers obtain quick results by presenting efficient solutions to problems. These analyses are open to developments by future researchers, and the methods can be used to predict design constraints. |
| cs7641 final exam questions: Computer Visualization Richard S. Gallagher, Solomon Press, 2023-06-09 Rapid advances in 3-D scientific visualization have made a major impact on the display of behavior. The use of 3-D has become a key component of both academic research and commercial product development in the field of engineering design. Computer Visualization presents a unified collection of computer graphics techniques for the scientific visualization of behavior. The book combines a basic overview of the fundamentals of computer graphics with a practitioner-oriented review of the latest 3-D graphics display and visualization techniques. Each chapter is written by well-known experts in the field. The first section reviews how computer graphics visualization techniques have evolved to work with digital numerical analysis methods. The fundamentals of computer graphics that apply to the visualization of analysis data are also introduced. The second section presents a detailed discussion of the algorithms and techniques used to visualize behavior in 3-D, as static, interactive, or animated imagery. It discusses the mathematics of engineering data for visualization, as well as providing the current methods used for the display of scalar, vector, and tensor fields. It also examines the more general issues of visualizing a continuum volume field and animating the dimensions of time and motion in a state of behavior. The final section focuses on production visualization capabilities, including the practical computational aspects of visualization such as user interfaces, database architecture, and interaction with a model. The book concludes with an outline of successful practical applications of visualization, and future trends in scientific visualization. |
| cs7641 final exam questions: Robot Intelligence Honghai Liu, Dongbing Gu, Robert J. Howlett, Yonghuai Liu, 2010-11-08 Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advanced knowledge processing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context. |
| cs7641 final exam questions: Pattern Recognition Theory and Application King Sun Fu, A.B. Whinston, 1977-12-31 Research in the field of pattern recognition both in theo retical terms and in the area of appl ication continues to flourish. Pattern recognition is a fairly diverse field involving researchers whose primary disciplines spread over at least a half dozen fields. Possibly because of the great diversity of backgrounds but a common interest in certain broad areas of application, the field has grown so rapidly and yet seems to promise at least a similar growth rate for the future. This book is a collection containing some of the papers that were presented at the N. A. T. O. Advanced Study Institute held in Bandol, France, September 1975. The main purpose of the institute was to present material which would provide a basic background in the field. Thus, survey papers covering syntactic methods, picture processing, classification theory, and speech recognition were presented. This should have provided the listener (and we hope now, the reader) with an acquaintance with the basic tools, a look at some of the appl ications and an appraisal of how each of the particular topics will evolve. A more recent addition to the pattern recognition family is the work in the areas of economics and group choice. Since the process of recognizing and inter preting patterns is so fundamental, it probably is no surprise when a particular discipline is discovered to be amenable to the already developed techniques. |
| cs7641 final exam questions: Cognitive Models of Science Ronald N. Giere, 1992 |
| cs7641 final exam questions: Spectral Algorithms Ravindran Kannan, Santosh Vempala, 2009 Spectral methods refer to the use of eigenvalues, eigenvectors, singular values and singular vectors. They are widely used in Engineering, Applied Mathematics and Statistics. More recently, spectral methods have found numerous applications in Computer Science to discrete as well as continuous problems. Spectral Algorithms describes modern applications of spectral methods, and novel algorithms for estimating spectral parameters. The first part of the book presents applications of spectral methods to problems from a variety of topics including combinatorial optimization, learning and clustering. The second part of the book is motivated by efficiency considerations. A feature of many modern applications is the massive amount of input data. While sophisticated algorithms for matrix computations have been developed over a century, a more recent development is algorithms based on sampling on the fly from massive matrices. Good estimates of singular values and low rank approximations of the whole matrix can be provably derived from a sample. The main emphasis in the second part of the book is to present these sampling methods with rigorous error bounds. It also presents recent extensions of spectral methods from matrices to tensors and their applications to some combinatorial optimization problems. |
| cs7641 final exam questions: Applications of Artificial Intelligence , 1998-10-08 Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in hardware and software and in computer theory, design, and applications. It has also provided contributors with a medium in which they can examine their subjects in greater depth and breadth than that allowed by standard journal articles. As a result, many articles have become standard references that continue to be of significant, lasting value despite the rapid growth taking place in the field.Volume 47 contains seven chapters. The first four cover artificial intelligence, which is the use of technology to perform tasks generally assumed to require human thinking. These chapters present natural language processing, visualization, and self-replication as machine implementations of human activities. The remaining three chapters cover other recent advances that are important to the information processing field. |
| cs7641 final exam questions: 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. |
| cs7641 final exam questions: Cyber-Physical Systems Security Çetin Kaya Koç, 2018-12-06 The chapters in this book present the work of researchers, scientists, engineers, and teachers engaged with developing unified foundations, principles, and technologies for cyber-physical security. They adopt a multidisciplinary approach to solving related problems in next-generation systems, representing views from academia, government bodies, and industrial partners, and their contributions discuss current work on modeling, analyzing, and understanding cyber-physical systems. |
| cs7641 final exam questions: Readings in Hardware/Software Co-Design Giovanni De Micheli, Rolf Ernst, Wayne Wolf, 2002 This title serves as an introduction ans reference for the field, with the papers that have shaped the hardware/software co-design since its inception in the early 90s. |
| cs7641 final exam questions: Next-Generation Internet Byrav Ramamurthy, George N. Rouskas, Krishna Moorthy Sivalingam, 2011-02-03 With ever-increasing demands on capacity, quality of service, speed, and reliability, current Internet systems are under strain and under review. Combining contributions from experts in the field, this book captures the most recent and innovative designs, architectures, protocols, and mechanisms that will enable researchers to successfully build the next-generation Internet. A broad perspective is provided, with topics including innovations at the physical/transmission layer in wired and wireless media, as well as the support for new switching and routing paradigms at the device and sub-system layer. The proposed alternatives to TCP and UDP at the data transport layer for emerging environments are also covered, as are the novel models and theoretical foundations proposed for understanding network complexity. Finally, new approaches for pricing and network economics are discussed, making this ideal for students, researchers, and practitioners who need to know about designing, constructing, and operating the next-generation Internet. |
| cs7641 final exam questions: User Interface Software Len Bass, Prasun Dewan, 1993-07-27 This accessible and authoritative reference explores the practical implications of new trends in the development of user interface software. Developments such as groupware, virtual reality and multimedia are likely to alter the way we all view software both as developers and users. This book looks beyond the hype and tells what all the buzzwords mean for the working programmer and developer. |
| cs7641 final exam questions: Data Structures And Algorithms Shi-kuo Chang, 2003-09-29 This is an excellent, up-to-date and easy-to-use text on data structures and algorithms that is intended for undergraduates in computer science and information science. The thirteen chapters, written by an international group of experienced teachers, cover the fundamental concepts of algorithms and most of the important data structures as well as the concept of interface design. The book contains many examples and diagrams. Whenever appropriate, program codes are included to facilitate learning.This book is supported by an international group of authors who are experts on data structures and algorithms, through its website at www.cs.pitt.edu/~jung/GrowingBook/, so that both teachers and students can benefit from their expertise. |
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