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Explaining Algorithms Using Metaphors

Author: Michal Forišek

Publisher: Springer Science & Business Media

Published: 2013-04-09

Total Pages: 101

ISBN-13: 1447150198

There is a significant difference between designing a new algorithm, proving its correctness, and teaching it to an audience. When teaching algorithms, the teacher's main goal should be to convey the underlying ideas and to help the students form correct mental models related to the algorithm. This process can often be facilitated by using suitable metaphors. This work provides a set of novel metaphors identified and developed as suitable tools for teaching many of the "classic textbook" algorithms taught in undergraduate courses worldwide. Each chapter provides exercises and didactic notes for teachers based on the authors’ experiences when using the metaphor in a classroom setting.

Innovative Teaching Strategies and New Learning Paradigms in Computer Programming

Author: Ricardo Queirós

Publisher: IGI Global

Published: 2014-11-30

Total Pages: 339

ISBN-13: 1466673052

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Courses in computer programming combine a number of different concepts, from general problem-solving to mathematical precepts such as algorithms and computational intelligence. Due to the complex nature of computer science education, teaching the novice programmer can be a challenge. Innovative Teaching Strategies and New Learning Paradigms in Computer Programming brings together pedagogical and technological methods to address the recent challenges that have developed in computer programming courses. Focusing on educational tools, computer science concepts, and educational design, this book is an essential reference source for teachers, practitioners, and scholars interested in improving the success rate of students.

The Humanities in Transition from Postmodernism into the Digital Age

Author: Nigel A. Raab

Publisher: Routledge

Published: 2020-05-31

Total Pages: 192

ISBN-13: 1000091481

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The Humanities in Transition explores how the basic components of the digital age will have an impact on the most trusted theories of humanists. Over the past two generations, humanists have come to take basic postmodern theories for granted whether on language, knowledge or time. Yet Michel Foucault, Jacques Derrida and similar philosophers developed their ideas when the impact of this digital world could barely be imagined. The digital world, built on algorithms and massive amounts of data, operates on radically different principles. This volume analyzes these differences, demonstrating where an aging postmodernism cannot keep pace with today’s technologies. The book first introduces the major influence postmodern had on global thought before turning to algorithms, digital space, digital time, data visuals and the concept to digital forgeries. By taking a closer look at these themes, it establishes a platform to create more robust humanist theories for the third millennium. This book will appeal to graduate students and established scholars in the Digital Humanities who are looking for diverse and energetic theoretical approaches that can truly come to terms with the digital world.

Swarm Intelligence

Author: Marco Dorigo

Publisher: Springer Nature

Published: 2020-10-22

Total Pages: 362

ISBN-13: 3030603768

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This book constitutes the proceedings of the 12th International Conference on Swarm Intelligence, ANTS 2020, held online -due to COVID-19- in Barcelona Spain, in October 2020. The 20 full papers presented , together with 8 short papers and 5 extended abstracts were carefully reviewed and selected from 50 submissions. ANTS 2020 contributions are dealing with any aspect of swarm intelligence.

Web-Based Education

Author: Anil Aggarwal

Publisher: IGI Global

Published: 2003-01-01

Total Pages: 492

ISBN-13: 9781931777872

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"A range of investigative, problem-solving articles pertaining to current developments in educational systems, this collection draws from faculty experiences gained while implementing and utilizing a combination of telecommunications and web-enabled technologies. Addressing trends and issues, and exploring the opportunities and problems confronting colleges and universities related to this relatively new practice, the articles present numerous academic perspectives and provide concepts for effectively utilizing and managing web-based education in a teaching environment. Proving recognizable competition to traditional university education, many public and private colleges and universities are facing the challenges and opportunities offered by this new technology-based concept. Discussing the successes and failures of the early adopters and including issues relating to peer-to-peer networks, e-course management, and MIS needs, this book attempts to move from questions concerning ""what"" to issues relating to ""how."""

Python Algorithms

Author: Magnus Lie Hetland

Publisher: Apress

Published: 2011-02-27

Total Pages: 325

ISBN-13: 1430232382

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Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques. The book deals with some of the most important and challenging areas of programming and computer science, but in a highly pedagogic and readable manner. The book covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others himself.

Guide to Teaching Computer Science

Author: Orit Hazzan

Publisher: Springer Nature

Published: 2020-08-05

Total Pages: 416

ISBN-13: 3030393607

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This concise yet thorough textbook presents an active-learning model for the teaching of computer science. Offering both a conceptual framework and detailed implementation guidelines, the work is designed to support a Methods of Teaching Computer Science (MTCS) course, but may be applied to the teaching of any area of computer science at any level, from elementary school to university. This text is not limited to any specific curriculum or programming language, but instead suggests various options for lesson and syllabus organization. Fully updated and revised, the third edition features more than 40 new activities, bringing the total to more than 150, together with new chapters on computational thinking, data science, and soft concepts and soft skills. This edition also introduces new conceptual frameworks for teaching such as the MERge model, and new formats for the professional development of computer science educators. Topics and features: includes an extensive set of activities, to further support the pedagogical principles outlined in each chapter; discusses educational approaches to computational thinking, how to address soft concepts and skills in a MTCS course, and the pedagogy of data science (NEW); focuses on teaching methods, lab-based teaching, and research in computer science education, as well as on problem-solving strategies; examines how to recognize and address learners’ misconceptions, and the different types of questions teachers can use to vary their teaching methods; provides coverage of assessment, teaching planning, and designing a MTCS course; reviews high school teacher preparation programs, and how prospective teachers can gain experience in teaching computer science. This easy-to-follow textbook and teaching guide will prove invaluable to computer science educators within all frameworks, including university instructors and high school teachers, as well as to instructors of computer science teacher preparation programs.

Perceptions of Knowledge Visualization: Explaining Concepts through Meaningful Images

Author: Ursyn, Anna

Publisher: IGI Global

Published: 2013-10-31

Total Pages: 418

ISBN-13: 1466647043

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Multisensory perception is emerging as an important factor in shaping current lifestyles. Therefore, computer scientists, engineers, and technology experts are acknowledging the comparative power existing beyond visual explanations. Perceptions of Knowledge Visualization: Explaining Concepts through Meaningful Images discusses issues related to visualization of scientific concepts, picturing processes and products, as well as the role of computing in the advancement of visual literacy skills. By connecting theory with practice, this book gives researchers, computer scientists, and academics an active experience which enhances the perception and the role of computer graphics.

Emotional Cognitive Neural Algorithms with Engineering Applications

Author: Leonid Perlovsky

Publisher: Springer Science & Business Media

Published: 2011-08-20

Total Pages: 208

ISBN-13: 3642228291

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Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL. „Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and neuroscientists interested in mathematical models of the brain and min das well.

How to Think About Algorithms

Author: Jeff Edmonds

Publisher: Cambridge University Press

Published: 2008-05-19

Total Pages: 409

ISBN-13: 1139471759

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This textbook, for second- or third-year students of computer science, presents insights, notations, and analogies to help them describe and think about algorithms like an expert, without grinding through lots of formal proof. Solutions to many problems are provided to let students check their progress, while class-tested PowerPoint slides are on the web for anyone running the course. By looking at both the big picture and easy step-by-step methods for developing algorithms, the author guides students around the common pitfalls. He stresses paradigms such as loop invariants and recursion to unify a huge range of algorithms into a few meta-algorithms. The book fosters a deeper understanding of how and why each algorithm works. These insights are presented in a careful and clear way, helping students to think abstractly and preparing them for creating their own innovative ways to solve problems.