The real world is perceived and broken down as data, models and algorithms in the eyes of physicists and engineers. Data is noisy by nature and classical statistical tools have so far been successful in dealing with relatively smaller levels of randomness. The recent emergence of Big Data and the required computing power to analyse them have rendered classical tools outdated and insufficient. T…
This is the first book combining research on the Global Environment, Catastrophic Risks and Economic Theory and Policy. Modern economic theory originated in the middle of the twentieth century when industrial expansion coupled with population growth led to a voracious use of natural resources and global environmental concerns. It is uncontested that, for the first time in recorded history, huma…
This textbook, available in two volumes, has been developed from a course taught at Harvard over the last decade. The course covers principally the theory and physical applications of linear algebra and of the calculus of several variables, particularly the exterior calculus. The authors adopt the 'spiral method' of teaching, covering the same topic several times at increasing levels of sophist…
This unique volume utilizes the UNESCO Education for Sustainable Development (ESD) framework to illustrate successful integration of sustainability education in post-secondary foreign language (FL) learning.Showcasing a variety of approaches to using content-based instruction (CBI) in college-level courses, this text valuably demonstrates how topics relating to environmental, social, and cultur…
This book explores how different classroom discourses and concepts of knowledge permeate teaching in high- and low-performance classrooms. Drawing on empirical research from classrooms in Sweden, it presents a theory-based framework for classroom research.The book examines the central concepts of knowledge, curriculum, pedagogy and equity to discuss differences in access to knowledge and the im…
This book carves the beginnings of a new path in the arguably weary discipline of economics. It combines a variety of perspectives – from the history of ideas to epistemology – in order to try to understand what has gone so wrong with economics and articulate a coherent way forward. This is undertaken through a dual path of deconstruction and reconstruction. Mainstream economics is broken d…
This book is an introduction to Fourier Transformation with a focus on signal analysis, based on the first edition. It is well suited for undergraduate students in physics, mathematics, electronic engineering as well as for scientists in research and development. It gives illustrations and recommendations when using existing Fourier programs and thus helps to avoid frustrations. Moreover, it is…
It is most times not easy for school leavers to make the right choices about the field of academic study that would help them attain their career visions. Factors including family upbringing, social-cultural experiences, early education, peer associations and perception of self all impact on the career choices of young persons. This book researches and presents a sampling of first-hand accounts…
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data. The book presents new met…
This book brings together selected peer-reviewed contributions from various research fields in statistics, and highlights the diverse approaches and analyses related to real-life phenomena. Major topics covered in this volume include, but are not limited to, bayesian inference, likelihood approach, pseudo-likelihoods, regression, time series, and data analysis as well as applications in the…