Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts

Matti Nelimarkka

ISBN 10: 1526497913 / ISBN 13: 9781526497918

Edité par SAGE Publications Ltd, 2022

A propos de cet article

2022. 1st Edition. Paperback. . . . . .

N° de réf. du vendeur V9781526497918

Détails bibliographiques

• Titre: Computational Thinking and Social Science: Combining Programming, Methodologies and Fundamental Concepts
• Éditeur: SAGE Publications Ltd
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1526497913
• ISBN à 13 chiffres: 9781526497918
• Reliure: Couverture souple
• Édition: Edition originale
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Matti Nelimarkka has over a decade of experience in teaching programming: from high school students and freshmen in computer sciences to generic introduction courses for STEM and social science students. He also regularly teaches research method, both traditional and computational to students in STEM and social science, with a special focus on graduate students and advanced computational research methods. His experiences combined with research-based insights on programming education provide him a deep understanding how to make learning fruitful and effective for students.

In his scholarly work on computational social science, Dr. Nelimarkka has focused on the essential role of social science theories to structure research formulation and then pinpointing and - when necessarily - developing new tools and approaches to tease out an answer to this question. In addition, his work in the critical algorithm studies gives insights to the challenges of reliability and validity, often not sufficiently addressed in computational social science.

This book brings together his experiences across programming and conducting social science has led him to develop an approach where computational thinking and programming are blended with empirical research questions and methods and for higher level questions of doing new kind scholarly work with social science.