Data Science for Undergraduates
Data Science for Undergraduates

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-11-11

Total Pages: 139

ISBN-13: 0309475597

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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Software Engineering 2004
Software Engineering 2004

Author: ACM/IEEE-CS Joint Task Force on Computing Curricula

Publisher:

Published: 2006

Total Pages: 152

ISBN-13:

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SE 2004 provides guidance on what should constitute an undergraduate software engineering education. This report takes into account much of the work that has been done in software engineering education over the last quarter of a century. This volume represents the first such effort by the ACM and the IEEE-CS to develop curriculum guidelines for software engineering.

Fundamentals of Discrete Math for Computer Science
Fundamentals of Discrete Math for Computer Science

Author: Tom Jenkyns

Publisher: Springer Science & Business Media

Published: 2012-10-16

Total Pages: 424

ISBN-13: 1447140699

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This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.

Computer Systems
Computer Systems

Author: J. Stanley Warford

Publisher: Jones & Bartlett Learning

Published: 2009-06-23

Total Pages: 731

ISBN-13: 0763771449

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Computer Architecture/Software Engineering

Connecting Discrete Mathematics and Computer Science
Connecting Discrete Mathematics and Computer Science

Author: David Liben-Nowell

Publisher: Cambridge University Press

Published: 2022-08-04

Total Pages: 694

ISBN-13: 1009174746

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Computer science majors taking a non-programming-based course like discrete mathematics might ask 'Why do I need to learn this?' Written with these students in mind, this text introduces the mathematical foundations of computer science by providing a comprehensive treatment of standard technical topics while simultaneously illustrating some of the broad-ranging applications of that material throughout the field. Chapters on core topics from discrete structures – like logic, proofs, number theory, counting, probability, graphs – are augmented with around 60 'computer science connections' pages introducing their applications: for example, game trees (logic), triangulation of scenes in computer graphics (induction), the Enigma machine (counting), algorithmic bias (relations), differential privacy (probability), and paired kidney transplants (graphs). Pedagogical features include 'Why You Might Care' sections, quick-reference chapter guides and key terms and results summaries, problem-solving and writing tips, 'Taking it Further' asides with more technical details, and around 1700 exercises, 435 worked examples, and 480 figures.

ACM SIGCHI Curricula for Human-computer Interaction
ACM SIGCHI Curricula for Human-computer Interaction

Author: Association for Computing Machinery

Publisher:

Published: 1992

Total Pages: 174

ISBN-13:

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In August 1988, the SIGCHI Executive Committee authorized a multi-year project to develop a set of curriculum recommendations for education in Human-Computer Interaction. This report represents that work. The Curriculum Development Group has attempted to create an heuristic structure with which, and within which, other can work to improve the state of education in human-computer interaction. The example course descriptions represent a set of possible content/course structures that educators can use as a starting point, and further iterations are expected and welcomed.

Computing Curricula 2005
Computing Curricula 2005

Author: Joint Task Force on Computing Curricula Staff

Publisher:

Published: 2006-08-01

Total Pages: 62

ISBN-13: 9781595933591

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This document is the first edition of the Overview Report that summaries the content of the various discipline specific reports on computer science, information systems, computer engineering, and software engineering. It provides a perspective for those in academia who need to understand what the computing disciplines are and how the respective undergraduate degree programs compare and complement each other. This report summarizes the body of knowledge for undergraduate programs in each of the major computing disciplines, highlights their commonalities and differences and describes the performance characteristics of graduates from each kind of undergraduate degree program.

Technology and the Psychology of Second Language Learners and Users
Technology and the Psychology of Second Language Learners and Users

Author: Mark R. Freiermuth

Publisher: Springer Nature

Published: 2020-03-25

Total Pages: 633

ISBN-13: 3030342123

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This edited volume brings together large-scale research as well as case studies from a range of geographical contexts and represents a variety of educational settings involving second language learners and users. Its aim is to explore the interrelated issues of psychology and technology use in second language learning settings as well as in more autonomous environments. As language learning professionals continue to devote more time and attention to making various technological tools an integral part of the classroom, it is just as important to understand the influences that these tools have on the psychological state of the learners who use them. In consideration of this objective, the volume examines factors such as learner attitudes and motivation, emotion and behaviour, and the cognitive processes that are at play in the minds of the language users. This volume will be of interest not only to language teachers but also to researchers working in second language acquisition (SLA), applied linguistics, and educational psychology.

Algorithms and complexity
Algorithms and complexity

Author: Teresa Alsinet

Publisher: Universitat de Lleida

Published: 2013-10-18

Total Pages: 90

ISBN-13: 8484096300

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Després d'anys d'experiència acumulada en les aules, els professors implicats en el curs Algorísmia i Complexitat de l'Escola Politècnica Superior (Universitat de Lleida), presenten aquesta compilació d'activitats desenvolupades tant en l'àmbit teòric com en les sessions de laboratori. Tot i que els primers exercicis repassen conceptes bàsics de la programació, en general requereixen coneixements previs de programació C i Java.

Computer Science in K-12
Computer Science in K-12

Author: Shuchi Grover

Publisher:

Published: 2020-04

Total Pages:

ISBN-13: 9781734662702

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Coding teaches our students the essence of logical thinking and problem solving while also preparing them for a world in which computing is becoming increasingly pervasive. While there's excitement and enthusiasm about programming becoming an intrinsic part of K-12 curricula the world over, there's also growing anxiety about preparing teachers to teach effectively at all grade levels.This book strives to be an essential, enduring, practical guide for every K-12 teacher anywhere who is either teaching or planning to teach computer science and programming at any grade level. To this end, readers will discover:? An A-to-Z organization that affords comprehensive insight into teaching introductory programming.? 26 chapters that cover foundational concepts, practices and well-researched pedagogies related to teaching introductory programming as an integral part of K-12 computer science. Cumulatively these chapters address the two salient building blocks of effective teaching of introductory programming-what content to teach (concepts and practices) and how to teach (pedagogy).? Concrete ideas and rich grade-appropriate examples inspired by practice and research for classroom use.? Perspectives and experiences shared by educators and scholars who are actively practicing and/or examiningthe teaching of computer science and programming in K-12 classrooms.