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This specially commissioned volume presents a unique collection of expository papers on major topics that are representative for computer science today. The 38 contributions, written by internationally leading experts in the computer science area on personal invitation, demonstrate the scope and stature of the field today and give an impression of the chief motivations and challenges for tomorrow's computer science and information technology. This anthology marks a truly extraordinary and festive moment: it is the 1000th volume published in the Lecture Notes in Computer Science series. It addresses all computer scientists and anybody interested in a representative overview of the field.
The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation.
Investigates the research and discoveries of computer scientists whose efforts have expanded knowledge of the rapidly changing field of computer science.
This textbook presents an algorithmic approach to mathematical analysis, with a focus on modelling and on the applications of analysis. Fully integrating mathematical software into the text as an important component of analysis, the book makes thorough use of examples and explanations using MATLAB, Maple, and Java applets. Mathematical theory is described alongside the basic concepts and methods of numerical analysis, supported by computer experiments and programming exercises, and an extensive use of figure illustrations. Features: thoroughly describes the essential concepts of analysis; provides summaries and exercises in each chapter, as well as computer experiments; discusses important applications and advanced topics; presents tools from vector and matrix algebra in the appendices, together with further information on continuity; includes definitions, propositions and examples throughout the text; supplementary software can be downloaded from the book’s webpage.
Computer Science: Reflections on the Field, Reflections from the Field provides a concise characterization of key ideas that lie at the core of computer science (CS) research. The book offers a description of CS research recognizing the richness and diversity of the field. It brings together two dozen essays on diverse aspects of CS research, their motivation and results. By describing in accessible form computer science's intellectual character, and by conveying a sense of its vibrancy through a set of examples, the book aims to prepare readers for what the future might hold and help to inspire CS researchers in its creation.
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000OCo2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, OC Algorithms and ComplexityOCO and OC Formal Models and SemanticsOCO, reflecting the traditional division of the field. The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science. Contents: Vol 1: Algorithms; Computational Complexity; Distributed Computing; Natural Computing; Vol 2: Formal Specification; Logic in Computer Science; Concurrency; Formal Language Theory. Readership: Upper level undergraduates, graduate students and researchers in theoretical computer science and biocomputing."
A complete update to a classic, respected resource Invaluable reference, supplying a comprehensive overview on how to undertake and present research
contents: vol 1 : Algorithms; Computational Complexity; Distributed Computing; Natural Computing.
This book introduces law to computer scientists and other folk. Computer scientists develop, protect, and maintain computing systems in the broad sense of that term, whether hardware (a smartphone, a driverless car, a smart energy meter, a laptop, or a server), software (a program, an application programming interface or API, a module, code), or data (captured via cookies, sensors, APIs, or manual input). Computer scientists may be focused on security (e.g. cryptography), or on embedded systems (e.g. the Internet of Things), or on data science (e.g. machine learning). They may be closer to mathematicians or to electrical or electronic engineers, or they may work on the cusp of hardware and software, mathematical proofs and empirical testing. This book conveys the internal logic of legal practice, offering a hands-on introduction to the relevant domains of law, while firmly grounded in legal theory. It bridges the gap between two scientific practices, by presenting a coherent picture of the grammar and vocabulary of law and the rule of law, geared to those with no wish to become lawyers but nevertheless required to consider the salience of legal rights and obligations. Simultaneously, this book will help lawyers to review their own trade. It is a volume on law in an onlife world, presenting a grounded argument of what law does (speech act theory), how it emerged in the context of printed text (philosophy of technology), and how it confronts its new, data-driven environment. Book jacket.
Almost every job today has some interaction with a computer or a computing device. Computers come in all shapes and sizes such as smartphones, ATM machines, thermostats, test equipment, robotics, point-of-sale systems, cloud servers, projection systems, and, oh yes, personal computers. All of them need to be designed, built, and programmed. Having a good understanding of computer programming and Computer Science can provide a good foundation for one's career. The Java programming language is one of the most popular programming languages used today. By learning Java, you will have a good understanding of structured programming, and Java is a good vehicle to learn the basics of Computer Science. Employers are always looking for new-hires to have practical experience. The best way to stand out during the interview process is to demonstrate that you have a familiarity with the tools used by professional programmers. There are many Java development tools available, but when it comes to Java programming, Eclipse is the tool frequently used in the industry. Eclipse is a popular Integrated Development Environment (IDE) that supports Java, C/C++, and web development. This textbook combines Java programming, Computer Science, and a popular development tool that not only prepares you for the Computer Science curriculum but also beyond the classroom into your professional career. The 14 chapters start with the basics of how Algebra flows into computer programming, moves on to logical program flow, and then to Object Oriented Programming. After these fundamentals come the advanced topics of recursion, search, sort, and Big-O notation. Going beyond the basic curriculum material, the later chapters cover graphical programming with JavaFX, File I/O, an introduction to data structures, and finishes with JavaFX 2-D Game development. There are many computer activities to provide a hands-on experience and keep you involved during the reading of this book.