Download or read book On Teaching Theoretical Foundations of Computer Science written by D. Mandrioli and published by . This book was released on 1980 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book On the Theoretical Foundations of Computer Science An Introductory Essay written by Gabriel Kabanda and published by GRIN Verlag. This book was released on 2019-07-12 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essay from the year 2019 in the subject Computer Science - Theory, grade: 4.00, Atlantic International University, language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the discussion on the meaning, significance and potential applications of theoretical foundations of computer science with respect to Algorithms Design and Analysis, Complexity Theory, Turing Machines, Finite Automata, Cryptography and Machine Learning. An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related). A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM). The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results).
Download or read book Basic Category Theory for Computer Scientists written by Benjamin C. Pierce and published by MIT Press. This book was released on 1991-08-07 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts. Contents Tutorial • Applications • Further Reading
Download or read book Instructional Design for Learning written by Norbert M. Seel and published by Springer. This book was released on 2017-04-17 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook on Instructional Design for Learning is a must for all education and teaching students and specialists. It provides a comprehensive overview about the theoretical foundations of the various models of Instructional Design and Technology from its very beginning to the most recent approaches. It elaborates Instructional Design (ID) as a science of educational planning. The book expands on this general understanding of ID and presents an up-to-date perspective on the theories and models for the creation of detailed and precise blueprints for effective instruction. It integrates different theoretical aspects and practical approaches, such as conceptual ID models, technology-based ID, and research-based ID. In doing so, this book takes a multi-perspective view on the questions that are central for professional ID: How to analyze the relevant characteristics of the learner and the environment? How to create precise goals and adequate instruments of assessment? How to design classroom and technology-supported learning environments? How to ensure effective teaching and learning by employing formative and summative evaluation? Furthermore, this book presents empirical findings on the processes that enable effective instructional designing. Finally, this book demonstrates two different fields of application by addressing ID for teaching and learning at secondary schools and colleges, as well as for higher education.
Download or read book Foundations of Computation written by Carol Critchlow and published by . This book was released on 2011 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computation is a free textbook for a one-semester course in theoretical computer science. It has been used for several years in a course at Hobart and William Smith Colleges. The course has no prerequisites other than introductory computer programming. The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.
Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Download or read book Foundations of Computer Science written by Alfred V. Aho and published by W. H. Freeman. This book was released on 1994-10-15 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Foundations of Computer Science written by Wilfried Brauer and published by Springer Science & Business Media. This book was released on 1997-10-24 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Dedicated to Wilfried Brauer.#Includes bibliographical references and index.
Download or read book Theoretical Foundations of Computer Science written by Dino Mandrioli and published by . This book was released on 1987-05-15 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores basic concepts of theoretical computer science and shows how they apply to current programming practice. Coverage ranges from classical topics, such as formal languages, automata, and compatibility, to formal semantics, models for concurrent computation, and program semantics.
Download or read book On the Theoretical Foundations of Computer Science An Introductory Essay written by Gabriel Kabanda and published by . This book was released on 2019-06-14 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essay from the year 2019 in the subject Computer Science - Theory, grade: 4.00, Atlantic International University, language: English, abstract: The paper presents an analytical exposition, critical context and integrative conclusion on the discussion on the meaning, significance and potential applications of theoretical foundations of computer science with respect to Algorithms Design and Analysis, Complexity Theory, Turing Machines, Finite Automata, Cryptography and Machine Learning. An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related). A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM). The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results).
Download or read book Funding a Revolution written by National Research Council and published by National Academies Press. This book was released on 1999-02-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.
Download or read book Theoretical Foundations of Learning Environments written by David Jonassen and published by Routledge. This book was released on 2014-04-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical Foundations of Learning Environments describes the most contemporary psychological and pedagogical theories that are foundations for the conception and design of open-ended learning environments and new applications of educational technologies. In the past decade, the cognitive revolution of the 60s and 70s has been replaced or restructured by constructivism and its associated theories, including situated, sociocultural, ecological, everyday, and distributed conceptions of cognition. These theories represent a paradigm shift for educators and instructional designers, to a view of learning as necessarily more social, conversational, and constructive than traditional transmissive views of learning. Never in the history of education have so many different theories said the same things about the nature of learning and the means for supporting it. At the same time, although there is a remarkable amount of consonance among these theories, each also provides a distinct perspective on how learning and sense making occur. This book provides students, faculty, and instructional designers with a clear, concise introduction to these theories and their implications for the design of new learning environments for schools, universities, and corporations. It is well-suited as a required or supplementary text for courses in instructional design and theory, educational psychology, learning, theory, curriculum theory and design, and related areas.
Download or read book Theoretical Foundations of Learning Environments written by Susan Land and published by Routledge. This book was released on 2012-03-22 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides students, faculty, and instructional designers with a clear, concise introduction to the major pedagogical and psychological theories and their implications for the design of new learning environments.
Download or read book Educational Communities of Inquiry Theoretical Framework Research and Practice written by Akyol, Zehra and published by IGI Global. This book was released on 2012-09-30 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communications technologies have been continuously integrated into learning and training environments which has revealed the need for a clear understanding of the process. The Community of Inquiry (COI) Theoretical Framework has a philosophical foundation which provides planned guidelines and principles to development useful learning environments and guarantees successful educational experiences. Educational Communities of Inquiry: Theoretical Framework, Research, and Practice is an extensive reference that offers theoretical foundations and developments associated with the COl theoretical framework. This collection is a valuable source of ideas, research opportunities, and challenges for scholars and practitioners in the field of education technology.
Download or read book Theoretical Foundations of Programming Methodology written by M. Broy and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers presented at the Marktoberdorf Summer School on Theoretical Foundations of Programming Methodology, organized under the auspices of the Technical University Münich and sponsored by the NATO Scientific Affairs Division, Germany, 1981
Download or read book Introduction to Computer Theory written by Daniel I. A. Cohen and published by John Wiley & Sons. This book was released on 1996-10-25 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found "refreshing". It is easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems.
Download or read book Theoretical Computer Science written by Lara Briggs and published by Larsen and Keller Education. This book was released on 2023-09-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical computer science (TCS) refers to a subset of computer science that deals with algorithmic and computational interactions and processes. It emphasizes on theoretical foundations of computer science and commonly depends on rigorous mathematical proofs. The goal of TCS is to understand the nature of computation and use this understanding to develop more effective methodologies. The primary uses of TCS are quantum computation and algorithm design. It encompasses a wide range of topics such as program semantics and verification, computational economics, computational number theory and algebra, machine learning, cryptography, algorithmic game theory, computational geometry, and computational biology. TCS has also played a vital role in the formation of various fields including algorithmic privacy, quantum computation, algorithmic fairness and algorithmic economics. This book contains some path-breaking studies in the field of theoretical computer science. It presents researches and studies performed by experts across the globe. This book is a complete source of knowledge on the present status of this important field.
