Computational thinking and social science, Nelimarkka Matti

Автор: Anindya S. Chakrabarti, Anirban Chakraborti, K. Shuvo Bakar
Название: Data Science for Complex Systems
ISBN: 1108844790 ISBN-13(EAN): 9781108844796
Издательство: Cambridge Academ
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Цена: 58070.00 T
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Описание: Many real-life systems are dynamic, evolving, and intertwined. Examples of such systems displaying 'complexity', can be found in a wide variety of contexts ranging from economics to biology, to the environmental and physical sciences. The study of complex systems involves analysis and interpretation of vast quantities of data, which necessitates the application of many classical and modern tools and techniques from statistics, network science, machine learning, and agent-based modelling. Drawing from the latest research, this self-contained and pedagogical text describes some of the most important and widely used methods, emphasising both empirical and theoretical approaches. More broadly, this book provides an accessible guide to a data-driven toolkit for scientists, engineers, and social scientists who require effective analysis of large quantities of data, whether that be related to social networks, financial markets, economies or other types of complex systems.

Автор: Alvarez
Название: Computational Social Science
ISBN: 1107518415 ISBN-13(EAN): 9781107518414
Издательство: Cambridge Academ
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Цена: 30610.00 T
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Описание: This book serves as an introduction to the field of computational social science for academics, students, and practitioners. It will also appeal to data scientists who wish to learn about innovations in the area, in particular those interested in how data analytics is applied to study social behavior.

Автор: Matti Nelimarkka
Название: Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts
ISBN: 1526497921 ISBN-13(EAN): 9781526497925
Издательство: Sage Publications
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Цена: 143610.00 T
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Описание: This book provides fundamental understanding into computational social science, helping students build basic familiarity with programming and an in-depth understanding into the challenges and benefits within the field.

Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun
Название: Handbook of Computational Social Science, Volume 1
ISBN: 0367456524 ISBN-13(EAN): 9780367456528
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun
Название: Handbook of Computational Social Science, Volume 2
ISBN: 1032077700 ISBN-13(EAN): 9781032077703
Издательство: Taylor&Francis
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Цена: 58170.00 T
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Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

Автор: Dobrota, Dan
Название: Computational Social Science
ISBN: 103230376X ISBN-13(EAN): 9781032303765
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Автор: Michele Sala, Stefania M. Maci
Название: Corpus Linguistics and Translation Tools for Digital Humanities: Research Methods and Applications
ISBN: 1350275220 ISBN-13(EAN): 9781350275225
Издательство: Bloomsbury Academic
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Цена: 105600.00 T
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Описание: Presenting the digital humanities as both a domain of practice and as a set of methodological approaches to be applied to corpus linguistics and translation, chapters in this volume provide a novel and original framework to triangulate research for pursuing both scientific and educational goals within the digital humanities. They also highlight more broadly the importance of data triangulation in corpus linguistics and translation studies. Putting forward practical applications for digging into data, this book is a detailed examination of how to integrate quantitative and qualitative approaches through case studies, sample analysis and practical examples.

Автор: Eggleston, Kirk (Gayton Elementary School, VA, USA) Green, Erinn J. (Prince Edward County Elementary School, VA, USA) Abel, Shawn (Midlothian High School, VA, USA) Poe, Stephanie (Hopewell High School, VA, USA) Shakeshaft, Charol (Virginia Commonweal
Название: Awesome Dinosaur Activities for Kids: Mazes, Hidden Pictures, Word Searches, Secret Codes, Spot the Differences, and More!
ISBN: 0486850730 ISBN-13(EAN): 9780486850733
Издательство: Dover
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Цена: 8230.00 T
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Описание: Many undergraduate students enter into chemistry courses, often possessing low levels of experience with the mathematical concepts necessary for carrying out applied calculations in chemistry. This third Edition provides a unified, student-friendly guide of mathematical concepts and techniques structured in the context of familiar chemical topics.

Автор: Burdick, Melanie N. (Professor, Washburn University) Hallman, Heidi L. (Professor, University of Kansas)
Название: Handbook of Computational Social Science, Volume 2
ISBN: 0367457806 ISBN-13(EAN): 9780367457808
Издательство: Taylor&Francis
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Цена: 183750.00 T
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Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

Автор: Michael Laver, Scott de Marchi
Название: The Governance Cycle in Parliamentary Democracies: A Computational Social Science Approach
ISBN: 1009315471 ISBN-13(EAN): 9781009315470
Издательство: Cambridge Academ
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Цена: 92930.00 T
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Описание: Parliamentary democracy involves a never-ending cycle of elections, government formations, and the need for governments to survive in potentially hostile environments. These conditions require members of any government to make decisions on a large number of issues, some of which sharply divide them. Officials resolve these divisions by 'logrolling'– conceding on issues they care less about, in exchange for reciprocal concessions on issues to which they attach more importance. Though realistically modeling this 'governance cycle' is beyond the scope of traditional formal analysis, this book attacks the problem computationally in two ways. Firstly, it models the behavior of “functionally rational” senior politicians who use informal decision heuristics to navigate their complex high stakes setting. Secondly, by applying computational methods to traditional game theory, it uses artificial intelligence to model how hyper-rational politicians might find strategies that are close to optimal.

Автор: Martinkov?, Patricia
Название: Computational Aspects of Psychometric Methods
ISBN: 0367515385 ISBN-13(EAN): 9780367515386
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Автор: Martinkov?, Patricia
Название: Computational Aspects of Psychometric Methods
ISBN: 0367515393 ISBN-13(EAN): 9780367515393
Издательство: Taylor&Francis
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Цена: 59190.00 T
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