| computer science engineering syllabus: Principles of Computer System Design Jerome H. Saltzer, M. Frans Kaashoek, 2009-05-21 Principles of Computer System Design is the first textbook to take a principles-based approach to the computer system design. It identifies, examines, and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture.Through carefully analyzed case studies from each of these disciplines, it demonstrates how to apply these concepts to tackle practical system design problems. To support the focus on design, the text identifies and explains abstractions that have proven successful in practice such as remote procedure call, client/service organization, file systems, data integrity, consistency, and authenticated messages. Most computer systems are built using a handful of such abstractions. The text describes how these abstractions are implemented, demonstrates how they are used in different systems, and prepares the reader to apply them in future designs.The book is recommended for junior and senior undergraduate students in Operating Systems, Distributed Systems, Distributed Operating Systems and/or Computer Systems Design courses; and professional computer systems designers. - Concepts of computer system design guided by fundamental principles - Cross-cutting approach that identifies abstractions common to networking, operating systems, transaction systems, distributed systems, architecture, and software engineering - Case studies that make the abstractions real: naming (DNS and the URL); file systems (the UNIX file system); clients and services (NFS); virtualization (virtual machines); scheduling (disk arms); security (TLS) - Numerous pseudocode fragments that provide concrete examples of abstract concepts - Extensive support. The authors and MIT OpenCourseWare provide on-line, free of charge, open educational resources, including additional chapters, course syllabi, board layouts and slides, lecture videos, and an archive of lecture schedules, class assignments, and design projects |
| computer science engineering syllabus: Operating System Concepts Ekta Walia, This is a revised edition of the eight years old popular book on operating System Concepts. In Addition to its previous contents, the book details about operating system foe handheld devices like mobile platforms. It also explains about upcoming operating systems with have interface in various Indian language. In addition to solved exercises of individual chapters, the revised version also presents a question bank of most frequently asked questions and their solutions. Value addition has been done in almost all the 14 chapters of the book. |
| computer science engineering syllabus: Computer Science Robert Sedgewick, Kevin Wayne, 2016-06-17 Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831 |
| computer science engineering syllabus: 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 engineering syllabus: Higher Education Opportunity Act United States, 2008 |
| computer science engineering syllabus: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application. |
| computer science engineering syllabus: Engineering Problems William Macgregor Wallace, 1914 |
| computer science engineering syllabus: Multimedia Information Systems V.S. Subrahmanian, Satish K. Tripathi, 1998-06-30 Multimedia Information Systems brings together in one place important contributions and up-to-date research results in this fast moving area. Multimedia Information Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field. |
| computer science engineering syllabus: Biomolecular Feedback Systems Domitilla Del Vecchio, Richard Murray, 2014-10-26 This book provides an accessible introduction to the principles and tools for modeling, analyzing, and synthesizing biomolecular systems. It begins with modeling tools such as reaction-rate equations, reduced-order models, stochastic models, and specific models of important core processes. It then describes in detail the control and dynamical systems tools used to analyze these models. These include tools for analyzing stability of equilibria, limit cycles, robustness, and parameter uncertainty. Modeling and analysis techniques are then applied to design examples from both natural systems and synthetic biomolecular circuits. In addition, this comprehensive book addresses the problem of modular composition of synthetic circuits, the tools for analyzing the extent of modularity, and the design techniques for ensuring modular behavior. It also looks at design trade-offs, focusing on perturbations due to noise and competition for shared cellular resources. Featuring numerous exercises and illustrations throughout, Biomolecular Feedback Systems is the ideal textbook for advanced undergraduates and graduate students. For researchers, it can also serve as a self-contained reference on the feedback control techniques that can be applied to biomolecular systems. Provides a user-friendly introduction to essential concepts, tools, and applications Covers the most commonly used modeling methods Addresses the modular design problem for biomolecular systems Uses design examples from both natural systems and synthetic circuits Solutions manual (available only to professors at press.princeton.edu) An online illustration package is available to professors at press.princeton.edu |
| computer science engineering syllabus: Cloud Computing: A Practical Approach Toby Velte, Anthony Velte, Robert C. Elsenpeter, 2009-10-22 The promise of cloud computing is here. These pages provide the 'eyes wide open' insights you need to transform your business. --Christopher Crowhurst, Vice President, Strategic Technology, Thomson Reuters A Down-to-Earth Guide to Cloud Computing Cloud Computing: A Practical Approach provides a comprehensive look at the emerging paradigm of Internet-based enterprise applications and services. This accessible book offers a broad introduction to cloud computing, reviews a wide variety of currently available solutions, and discusses the cost savings and organizational and operational benefits. You'll find details on essential topics, such as hardware, platforms, standards, migration, security, and storage. You'll also learn what other organizations are doing and where they're headed with cloud computing. If your company is considering the move from a traditional network infrastructure to a cutting-edge cloud solution, you need this strategic guide. Cloud Computing: A Practical Approach covers: Costs, benefits, security issues, regulatory concerns, and limitations Service providers, including Google, Microsoft, Amazon, Yahoo, IBM, EMC/VMware, Salesforce.com, and others Hardware, infrastructure, clients, platforms, applications, services, and storage Standards, including HTTP, HTML, DHTML, XMPP, SSL, and OpenID Web services, such as REST, SOAP, and JSON Platform as a Service (PaaS), Software as a Service (SaaS), and Software plus Services (S+S) Custom application development environments, frameworks, strategies, and solutions Local clouds, thin clients, and virtualization Migration, best practices, and emerging standards |
| computer science engineering syllabus: UNIX System Programming Keith Haviland, Ben Salama, 1987 |
| computer science engineering syllabus: 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 engineering syllabus: Princeton Review AP Computer Science A Prep, 2022 The Princeton Review, 2021-08-31 Make sure you’re studying with the most up-to-date prep materials! Look for the newest edition of this title, The Princeton Review AP Computer Science A Prep, 2023 (ISBN: 9780593450727, on-sale September 2020). Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality or authenticity, and may not include access to online tests or materials included with the original product. |
| computer science engineering syllabus: Numerical Methods in Engineering with Python 3 Jaan Kiusalaas, 2013-01-21 Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language. |
| computer science engineering syllabus: Code Charles Petzold, 2022-08-02 The classic guide to how computers work, updated with new chapters and interactive graphics For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think. - Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating? For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use. This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend. In addition to substantially revised and updated content, new chapters include: Chapter 18: Let's Build a Clock! Chapter 21: The Arithmetic Logic Unit Chapter 22: Registers and Busses Chapter 23: CPU Control Signals Chapter 24: Jumps, Loops, and Calls Chapter 28: The World Brain From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution. |
| computer science engineering syllabus: About Face Alan Cooper, Robert Reimann, David Cronin, Christopher Noessel, 2014-09-02 The essential interaction design guide, fully revised and updated for the mobile age About Face: The Essentials of Interaction Design, Fourth Edition is the latest update to the book that shaped and evolved the landscape of interaction design. This comprehensive guide takes the worldwide shift to smartphones and tablets into account. New information includes discussions on mobile apps, touch interfaces, screen size considerations, and more. The new full-color interior and unique layout better illustrate modern design concepts. The interaction design profession is blooming with the success of design-intensive companies, priming customers to expect design as a critical ingredient of marketplace success. Consumers have little tolerance for websites, apps, and devices that don't live up to their expectations, and the responding shift in business philosophy has become widespread. About Face is the book that brought interaction design out of the research labs and into the everyday lexicon, and the updated Fourth Edition continues to lead the way with ideas and methods relevant to today's design practitioners and developers. Updated information includes: Contemporary interface, interaction, and product design methods Design for mobile platforms and consumer electronics State-of-the-art interface recommendations and up-to-date examples Updated Goal-Directed Design methodology Designers and developers looking to remain relevant through the current shift in consumer technology habits will find About Face to be a comprehensive, essential resource. |
| computer science engineering syllabus: Computer Networking: A Top-Down Approach Featuring the Internet, 3/e James F. Kurose, 2005 |
| computer science engineering syllabus: Proceedings of the Computer Science and Engineering Curricula Workshop, June 6-7, 1977, Williamsburg, Virginia , 1977 |
| computer science engineering syllabus: CDS - General Knowledge and English Ajit Singh, 2023-09-22 This book deals with the whole gamut of General Knowledge and English that an aspirant requires to prepare for CDS/AFA/INA/AFCAT and any other Graduate and above level exam held by UPSC. As it contains detailed notes on Indian History, Geography and Indian Polity followed by MCQs that have appeared in various competitive exams it would prove to be very useful for other competitive exams as well. Besides notes on each topic, it has over 7000 Multiple Choice Questions (MCQs) on various subjects as per the syllabus. This book on ‘General Knowledge & English’ has been written after lot of research and contains MCQs that have appeared in previous 20 years question papers, of CDS. The detailed notes on History, Geography and Indian Polity with MCQs and MCQs on Indian Economy, Indian Culture, Environment, General Science and Defence & Para Military will prove to be very useful for all other Competitive Exams conducted by UPSC. In addition, in the English Chapter, besides 20 solved question papers of English, Antonyms, Synonyms, One Word and Idioms & phrases that have appeared in various exams have also been included. |
| computer science engineering syllabus: 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 engineering syllabus: 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 engineering syllabus: Proceedings of the Computer Science and Engineering Curricula Workshop IEEE Computer Society, 1977 |
| computer science engineering syllabus: Applied Cryptography Bruce Schneier, 2017-05-25 From the world's most renowned security technologist, Bruce Schneier, this 20th Anniversary Edition is the most definitive reference on cryptography ever published and is the seminal work on cryptography. Cryptographic techniques have applications far beyond the obvious uses of encoding and decoding information. For developers who need to know about capabilities, such as digital signatures, that depend on cryptographic techniques, there's no better overview than Applied Cryptography, the definitive book on the subject. Bruce Schneier covers general classes of cryptographic protocols and then specific techniques, detailing the inner workings of real-world cryptographic algorithms including the Data Encryption Standard and RSA public-key cryptosystems. The book includes source-code listings and extensive advice on the practical aspects of cryptography implementation, such as the importance of generating truly random numbers and of keeping keys secure. . . .the best introduction to cryptography I've ever seen. . . .The book the National Security Agency wanted never to be published. . . . -Wired Magazine . . .monumental . . . fascinating . . . comprehensive . . . the definitive work on cryptography for computer programmers . . . -Dr. Dobb's Journal . . .easily ranks as one of the most authoritative in its field. -PC Magazine The book details how programmers and electronic communications professionals can use cryptography-the technique of enciphering and deciphering messages-to maintain the privacy of computer data. It describes dozens of cryptography algorithms, gives practical advice on how to implement them into cryptographic software, and shows how they can be used to solve security problems. The book shows programmers who design computer applications, networks, and storage systems how they can build security into their software and systems. With a new Introduction by the author, this premium edition will be a keepsake for all those committed to computer and cyber security. |
| computer science engineering syllabus: Structure and Interpretation of Computer Programs Harold Abelson, Gerald Jay Sussman, 2022-05-03 A new version of the classic and widely used text adapted for the JavaScript programming language. Since the publication of its first edition in 1984 and its second edition in 1996, Structure and Interpretation of Computer Programs (SICP) has influenced computer science curricula around the world. Widely adopted as a textbook, the book has its origins in a popular entry-level computer science course taught by Harold Abelson and Gerald Jay Sussman at MIT. SICP introduces the reader to central ideas of computation by establishing a series of mental models for computation. Earlier editions used the programming language Scheme in their program examples. This new version of the second edition has been adapted for JavaScript. The first three chapters of SICP cover programming concepts that are common to all modern high-level programming languages. Chapters four and five, which used Scheme to formulate language processors for Scheme, required significant revision. Chapter four offers new material, in particular an introduction to the notion of program parsing. The evaluator and compiler in chapter five introduce a subtle stack discipline to support return statements (a prominent feature of statement-oriented languages) without sacrificing tail recursion. The JavaScript programs included in the book run in any implementation of the language that complies with the ECMAScript 2020 specification, using the JavaScript package sicp provided by the MIT Press website. |
| computer science engineering syllabus: Discrete Structure and Automata Theory for Learners Dr. Umesh Gill Sehgal, Ms. Sukhpreet Kaur, 2020-09-05 Learn to identify the implementation of Discrete Structure and Theory of Automata in a myriad of applications used in day to day lifeKey Featuresa- Learn how to write an argument using logical notation and decide if the argument is valid or not valid.a- Learn how to use the concept of different data structures (stacks, queues, sorting concept, etc.) in the computer science field.a- Learn how to use Automata Machines like FSM, Pushdown automata, Turing machine, etc. in various applications related to computer science through suitable practical illustration.a- Learn how to implement the finite state machine using JFLAP (Java Formal Languages and Automata Package).DescriptionThis book's purpose is to provide a modern and comprehensive introduction to the subject of Discrete Structures and Automata Theory. Discrete structures, also called Discrete Mathematics, are an exciting and active subject, particularly due to its extreme relevance to both Mathematics and Computer Science and Algorithms. This subject forms a common foundation for rigorous Mathematical, Logical Reasoning and Proofs, as well as a formal introduction to abstract objects that are essential tools in an assortment of applications and effective computer implementations. Computing skills are now an integral part of almost all the Scientific fields, and students are very enthusiastic about being able to harness the full computing power of these tools. Further, this book also deep dives into the Automata Theory with various examples that illustrate the basic concepts and is substantiated with multiple diagrams. The book's vital feature is that it contains the practical implementation of the Automata Machine example through the JFLAP Tool. Courses on Discrete Structures and Automata theory are offered at most universities and colleges.What will you learna- Understand the basic concepts of Sets and operations in Sets.a- Demonstrate different traversal techniques for Trees and Graphs.a- Deep dive into the concept of Mathematical Induction, Sets, Relations, Functions, Recursion, Graphs, Trees, Boolean Algebra, and Proof techniques.a- Understand the concept of Automata Machines in day to day life like the Elevator, Turnstile, Genetic Algorithms, Traffic lights, etc.a- Use the JFLAP tool to solve the various exercise problems related to automata theory.Who this book is forThis book is a must-read to everyone interested in improving their concepts regarding Discrete Structure and Automata Theory.Table of Contents1. Set Theory2. Relations and Functions3. Graph Theory4. Trees5. Algebraic Structure6. Recursion and Recurrence Relations7. Sorting8. Queues9. Introduction10. Finite Automata Theory11. Theory of Machines12. Regular Language13. Grammar14. Pushdown Automata15. Cellular Automata16. Turning Machine17. Problems Solving Using JFLAP Tool18. Revision QuestionsAbout the AuthorsDr. UMESH SEHGAL completed his Ph.D.,M.Phil. Computer Science and MCA. He held academic positions at the GNA University as an A.P in FCS Department. He has achieved the Best Educationist Award in 2017.He has achieved the Indira Gandhi Education Excellence Award in 2017.He has achieved the Best Researcher Award in 2018-19.He has published several articles in leading International and National Computer science journals and has been an invited speaker at Wireless networks based lectures and conferences in the many universities and Institutes in India, Malaysia, China, and UAE.SUKHPREET KAUR GILL received the M.Tech. degree in Computer Science and Engineering from Guru Nanak Dev Engineering College, Ludhiana. She is currently working as Assistant Professor at GNA University Phagwara. She has achieved the Bright Educator Award 2019. She has published several articles in leading International and National Computer science journals. |
| computer science engineering syllabus: Computer Science and Education. Teaching and Curriculum Wenxing Hong, |
| computer science engineering syllabus: Computational Science – ICCS 2018 Yong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack Dongarra, Peter M. A. Sloot, 2018-06-12 The three-volume set LNCS 10860, 10861 and 10862 constitutes the proceedings of the 18th International Conference on Computational Science, ICCS 2018, held in Wuxi, China, in June 2018. The total of 155 full and 66 short papers presented in this book set was carefully reviewed and selected from 404 submissions. The papers were organized in topical sections named: Part I: ICCS Main Track Part II: Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging ManYcore Systems; Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Data, Modeling, and Computation in IoT and Smart Systems; Track of Data-Driven Computational Sciences; Track of Mathematical-Methods-and-Algorithms for Extreme Scale; Track of Multiscale Modelling and Simulation Part III: Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Papers |
| computer science engineering syllabus: Algorithms to Live By Brian Christian, Tom Griffiths, 2016-04-19 'Algorithms to Live By' looks at the simple, precise algorithms that computers use to solve the complex 'human' problems that we face, and discovers what they can tell us about the nature and origin of the mind. |
| computer science engineering syllabus: Sustainability and Law Volker Mauerhofer, Daniela Rupo, Lara Tarquinio, 2020-07-07 The book discusses sustainability and law in a multifaceted way. Together, sustainability and law are an emerging challenge for research and science. This volume contributes through an interdisciplinary concept to its further exploration. The contributions explore this exciting domain with innovative ideas and replicable approaches. It combines a variety of authors, from both the public and the private sectors, and thereby guarantees a broad view that enshrines the more theoretical arguments from the academic side as well as stronger practical applicable perspectives. The book provides space for thoughtful expansions of established theories as well as the hopeful emergence of innovative ideas. Moreover, the combination of three to five contributions into the eleven parts respectively aims toward a compression of like minded thoughts. This should lead to an intensification of exchange of viewpoints from different angles on a similar theme. Readers therefore also have the opportunity to concentrate on single chapters, but receive comprised knowledge and a variety of thoughts for new ideas on a particular theme. |
| computer science engineering syllabus: The Productive Programmer Neal Ford, 2008-07-03 Anyone who develops software for a living needs a proven way to produce it better, faster, and cheaper. The Productive Programmer offers critical timesaving and productivity tools that you can adopt right away, no matter what platform you use. Master developer Neal Ford not only offers advice on the mechanics of productivity-how to work smarter, spurn interruptions, get the most out your computer, and avoid repetition-he also details valuable practices that will help you elude common traps, improve your code, and become more valuable to your team. You'll learn to: Write the test before you write the code Manage the lifecycle of your objects fastidiously Build only what you need now, not what you might need later Apply ancient philosophies to software development Question authority, rather than blindly adhere to standards Make hard things easier and impossible things possible through meta-programming Be sure all code within a method is at the same level of abstraction Pick the right editor and assemble the best tools for the job This isn't theory, but the fruits of Ford's real-world experience as an Application Architect at the global IT consultancy ThoughtWorks. Whether you're a beginner or a pro with years of experience, you'll improve your work and your career with the simple and straightforward principles in The Productive Programmer. |
| computer science engineering syllabus: Introduction To Computers And C Programming S.K. Bajpai, 2007 Designed Strictly As Per The Syllabus Of U.P. Technical University, This Book Provides A Systematic Introduction To Computer Hardware And Software. After Explaining The Historical Development Of Computer Technology Through Different Generations, The Book Describes The Basic Hardware Components. Peripheral Devices Are Explained Next Followed By A Detailed Introduction To Operating Systems Including Dos, Unix And Windows. Various Features Of The Internet Are Then Described Including Internet Mail Tools Like Pine And Elm And Editors Like Edit And Vi. The Basic And Advanced Features Of C Programming Are Then Explained With Suitable Examples. Examples And Problems Are Included In Various Chapters.The Book Concludes With An Introduction To Recent Developments Like Object Oriented Programming, Java, Ub Script, Wireless Application Protocol (Wap), Hyper Text Markup Language (Html) And Xml. A Question Bank At The End Of The Book Would Be Extremely Useful In Enabling The Student To Test His Understanding Of Computer Technology. |
| computer science engineering syllabus: Python Scripting for Computational Science Hans Petter Langtangen, 2013-03-14 Scripting with Python makes you productive and increases the reliability of your scientific work. Here, the author teaches you how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in Python. The focus is on examples and applications of relevance to computational science: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping programs with graphical user interfaces; making computational Web services; creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran; and building flexible object-oriented programming interfaces to existing C/C++ or Fortran libraries. |
| computer science engineering syllabus: Big Data, Cloud Computing, and Data Science Engineering Roger Lee, 2023-03-12 This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. All aspects (theory, applications, and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here in the results of the articles featured in this book. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 15 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science. |
| computer science engineering syllabus: Algebra of Programming Richard Bird, Oege de Moor, 1997 Describing an algebraic approach to programming, based on a categorical calculus of relations, this book is suitable for the derivation of individual programs and for the study of programming principles in general. |
| computer science engineering syllabus: CLASSIC DATA STRUCTURES, 2nd ed. Samanta Debasis, 2008-12-01 This book is the second edition of a text designed for undergraduate engineering courses in Data Structures. The treatment of the subject matter in this second edition maintains the same general philosophy as in the first edition but with significant additions. These changes are designed to improve the readability and understandability of all algorithms so that the students acquire a firm grasp of the key concepts. This book is recommended in Assam Engineering College, Assam, Girijananda Chowdhury Institute of Management and Technology, Assam, Supreme Knowledge Foundation Group, West Bengal, West Bengal University of Technology (WBUT) for B.Tech. The book provides a complete picture of all important data structures used in modern programming practice. It shows : various ways of representing a data structure different operations to manage a data structure several applications of a data structure The algorithms are presented in English-like constructs for ease of comprehension by students, though all of them have been implemented separately in C language to test their correctness. Key Features : Red-black tree and spray tree are discussed in detail Includes a new chapter on Sorting Includes a new chapter on Searching Includes a new appendix on Analysis of Algorithms for those who may be unfamiliar with the concepts of algorithms Provides numerous section-wise assignments in each chapter Also included are exercises—Problems to Ponder—in each chapter to enhance learning The book is suitable for students of : (i) computer science (ii) computer applications (iii) information and communication technology (ICT) (iv) computer science and engineering. |
| computer science engineering syllabus: Automata Theory and Logic Gerard Prudhomme, 2017-11 The automata theory and logic in theoretical computer science is critical for the development of theoretical computer science. The objective of the theory of automata theory and logic is to propose models of mathematical mechanisms that formalize calculation methods. This theory is the foundation of several important branches of theoretical computing.The first chapter refers to automota theory. Chapter 2 shows that the durability of organic designs seems to have come about in the form of a significant basic principle in solutions biology. Chapter 3 looks at how ideas acquired from multi-level computational varieties of organic models could very well be converted into actual functions only as long as the strategy accurateness appears to have been confirmed to start with. Chapter 4 offers a model-based incorporation way of thinking for redesigning coupled with confirmation of the time aspect. Chapter 5 exchanges views about the most widely read, not to mention thrilling, computational techniques, and also equipment, on the market today for systems biologists, antagonizing design patterns as well as a partnership between all of them. Chapter 6 proves that Web malware are comparable to organic infections.Chapter 7 shows that Von Hippel-Lindau ( VHL ) disorder is a genetic problem predisposing to the growth and development of various cancer malignancy types. Chapter 8 showcases how the Wnt/β-catenin alerting path is essential for several developing procedures and also cells upkeep. Chapter 9 describes how visceral leishmaniasis, brought on by contamination of mice with the protozoan parasite Leishmania donovani, is identified by central amassing.Chapter 10 looks at how Wifi broadband seems to have obtained exceptional consideration from the analysis environment. Chapter 11 describes how reconstructing mobile sounding systems as well as comprehending just how they function are leading activities in cellular biology. Chapter 12 looks at how the up-to-the-minute DREAM4 blind evaluation supplied an especially reasonable and also difficult environment for network reverse engineering techniques.Chapter 13 establishes that Stochastic Petri nets ( SPNs ) have been commonly used to design randomness, which happens to be an gargantuan characteristic of organic mechanisms. Chapter 14 establishes that air as a method of travel corresponds to an extremely fascinating illustration of a complicated techno-social process. Chapter 15 shows that despite the fact that the genome is made up of almost all genetic data, the choices that a cell can make are influenced by complicated cell equipment that is mounted above the genome. Chapter 16 shows a great number of versions in Systems Biology are referred to as a structure of Ordinary Differential Equations. Chapter 17 created a arithmetical version of the xenophagy path. Chapter 18 displays that MicroRNAs have surely obtained an important level of attention.Chapter 19 looks at how development and also evaluation of systems is more and more prevalent in organic study. Chapter 20 provides a summary of how privacy leak conduct invading users' information security continues to be extensively learned about. Chapter 21 looks at how simulating network transduction in cell alerting systems offers forecasts of coverage characteristics. |
| computer science engineering syllabus: Top 20 coding interview problems asked in Google with solutions Lin Quan, 2014-02-07 Must Have for Google Aspirants !!! This book is written for helping people prepare for Google Coding Interview. It contains top 20 programming problems frequently asked @Google with detailed worked-out solutions both in pseudo-code and C++(and C++11). Matching Nuts and Bolts OptimallySearching two-dimensional sorted arrayLowest Common Ancestor(LCA) ProblemMax Sub-Array ProblemCompute Next Higher Number2D Binary SearchString Edit DistanceSearching in Two Dimensional SequenceSelect Kth Smallest ElementSearching in Possibly Empty Two Dimensional SequenceThe Celebrity ProblemSwitch and Bulb ProblemInterpolation SearchThe Majority ProblemThe Plateau ProblemSegment ProblemsEfficient PermutationThe Non-Crooks ProblemMedian Search ProblemMissing Integer Problem |
| computer science engineering syllabus: Future Communication, Information and Computer Science Dawei Zheng, 2015-02-05 The 2014 International Conference on Future Communication, Information and Computer Science (FCICS 2014) was held May 22-23, 2014 in Beijing, China. The objective of FCICS 2014 was to provide a platform for researchers, engineers and academics as well as industrial professionals from all over the world to present their research results and development activities in Computer, Network and Information Technology and Communication Engineering. |
| computer science engineering syllabus: Introduction to Computation and Programming Using Python, second edition John V. Guttag, 2016-08-12 The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics. |
| computer science engineering syllabus: Pearls of Functional Algorithm Design Richard Bird, 2010-09-16 Richard Bird takes a radical approach to algorithm design, namely, design by calculation. These 30 short chapters each deal with a particular programming problem drawn from sources as diverse as games and puzzles, intriguing combinatorial tasks, and more familiar areas such as data compression and string matching. Each pearl starts with the statement of the problem expressed using the functional programming language Haskell, a powerful yet succinct language for capturing algorithmic ideas clearly and simply. The novel aspect of the book is that each solution is calculated from an initial formulation of the problem in Haskell by appealing to the laws of functional programming. Pearls of Functional Algorithm Design will appeal to the aspiring functional programmer, students and teachers interested in the principles of algorithm design, and anyone seeking to master the techniques of reasoning about programs in an equational style. |
BTech Computer Science Syllabus: Year Wise, Semester
May 15, 2025 · Explore the B.Tech Computer Science syllabus for 2025, featuring semester-wise subjects, programming languages, and core topics.
Computer Science Engineering Syllabus 2025: Subjects, …
Feb 13, 2025 · The Computer Science Engineering syllabus includes important CSE subjects like Computer Programming Languages, Data Structures, Digital Systems Design, Computer …
Computer Science Engineering Syllabus: Subjects List in CSE Syllabus
Dec 6, 2024 · Computer Science Engineering Syllabus: Know more about the computer science engineering syllabus and subjects, top universities, eligibility criteria, skills and job profiles.
CURRICULUM & SYLLABI B.Tech. COMPUTER SCIENCE
Department of Computer Science & Engineering 4 | P a g e Program: B.Tech. Computer Science & Engineering Program Educational Objectives PEO-1 Apply computer science theory blended …
Syllabus - Harvard University
Introduction to applications of computer science (including web technologies, visualization, and database design) to domains in the arts and humanities. Emphasis on principles of software …
BTech CSE Syllabus: Year Wise, Semester Wise, Subjects, Books
Apr 21, 2025 · Operating systems, Design and Analysis of Algorithms, Programming Languages, Microprocessors, Cryptography, and Network Security are a few of the main topics covered in …
SYLLABUS FOR COMPUTER SCIENCE & ENGINEERING …
to perform simple and sophisticated analyses for large samples. n using data structure algorithms. 6 Compute the complexity of various algorit. ons like searching, insertion, and deletion, …
Computer Science Engineering (CSE) Syllabus & Subjects List
Explore the comprehensive Computer Science Engineering (CSE) syllabus and subjects at BMU, covering programming, dbms, AI, and more to prepare for a successful tech career.
COURSE SCHEME AND SYLLABUS FOR B.E. (CSE) - Thapar …
afting and 3D modelling of solid objects. This course is aimed at making the student understand the concepts of projection systems, learn how to create projections of solid objects using first …
Syllabus of CSE: From Fundamentals to Advanced Specializations
The computer science engineering syllabus includes both theoretical concepts and practical applications, enabling students to understand the intricacies of software development, …
BTech Computer Science Syllabus: Year Wise, Semester
May 15, 2025 · Explore the B.Tech Computer Science syllabus for 2025, featuring semester-wise subjects, programming languages, and core topics.
Computer Science Engineering Syllabus 2025: Subjects, …
Feb 13, 2025 · The Computer Science Engineering syllabus includes important CSE subjects like Computer Programming Languages, Data Structures, Digital Systems Design, Computer …
Computer Science Engineering Syllabus: Subjects List in CSE Syllabus
Dec 6, 2024 · Computer Science Engineering Syllabus: Know more about the computer science engineering syllabus and subjects, top universities, eligibility criteria, skills and job profiles.
CURRICULUM & SYLLABI B.Tech. COMPUTER SCIENCE
Department of Computer Science & Engineering 4 | P a g e Program: B.Tech. Computer Science & Engineering Program Educational Objectives PEO-1 Apply computer science theory blended …
Syllabus - Harvard University
Introduction to applications of computer science (including web technologies, visualization, and database design) to domains in the arts and humanities. Emphasis on principles of software …
BTech CSE Syllabus: Year Wise, Semester Wise, Subjects, Books
Apr 21, 2025 · Operating systems, Design and Analysis of Algorithms, Programming Languages, Microprocessors, Cryptography, and Network Security are a few of the main topics covered in …
SYLLABUS FOR COMPUTER SCIENCE & ENGINEERING …
to perform simple and sophisticated analyses for large samples. n using data structure algorithms. 6 Compute the complexity of various algorit. ons like searching, insertion, and deletion, …
Computer Science Engineering (CSE) Syllabus & Subjects List
Explore the comprehensive Computer Science Engineering (CSE) syllabus and subjects at BMU, covering programming, dbms, AI, and more to prepare for a successful tech career.
COURSE SCHEME AND SYLLABUS FOR B.E. (CSE) - Thapar …
afting and 3D modelling of solid objects. This course is aimed at making the student understand the concepts of projection systems, learn how to create projections of solid objects using first …
Syllabus of CSE: From Fundamentals to Advanced Specializations
The computer science engineering syllabus includes both theoretical concepts and practical applications, enabling students to understand the intricacies of software development, …
