Sudoku Programming with C teaches you how to write computer programs to solve and generate Sudoku puzzles. This is a practical book that will provide you with everything you need to write your own boo
The goal of these notes is to provide a fast introduction to symplectic geometry for graduate students with some knowledge of differential geometry, de Rham theory and classical Lie groups.This text a
This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tool
Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author ofBeginning Python, this book is sharply focused on classical alg
Beginning Python Games Development, Second Edition teaches you how to create compelling games using Python and the PyGame games development library. It will teach you how to create visuals, do event h
The Python Quick Syntax Reference is the "go to" book that contains an easy to read and use guide to Python programming and development. This condensed code and syntax reference pres
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algori
The book addresses the main issues concerned with the new development of learning processes, innovative pedagogical changes, the effects of new technologies on education, future learning content, whic
This book brings together internationally recognised scholars with an interest in how to use the power of assessment to improve student learning and to engage with accountability priorities at both na
This book summarizes the vast amount of research related to teaching and learning probability that has been conducted for more than 50 years in a variety of disciplines. It begins with a synthesis of
This monograph describes a 3D visualization teaching-learning trajectory for elementary age learners based on the NCTM recommendations. Throughout the trajectory, learners work with actual 3D models,
Reading Comprehension: Assisting Children with Learning Difficulties examines the complex nature of reading comprehension. It introduces a model for classifying reading comprehension based on an expan
?The concept of mimetic learning at work is outlined and elaborated in this text. That elaboration consists of an account of how securing occupational capacities has been primary associated with learn
This Springer Brief examines the combination of computer vision techniques and machine learning algorithms necessary for humanoid robots to develop “true consciousness.” It illustrates the critical fi
Affective Prospecting integrates theoretical perspectives on learning with recent research in affective computing. These new perspectives are based on new research on emotion, cognition, and motivatio
It is impossible not to ask ourselves how to cope with the role and impact of scientific research in teaching and learning. The researching, teaching and learning triangle explores a growing trend amo
The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus i
This book constitutes the refereed proceedings of the 18th Annual Conference on Learning Theory, COLT 2005, held in Bertinoro, Italy in June 2005.The 45 revised full papers together with three article
Marcella Rowek explores the paradigm of Deep Democracy and its potential to transform polarized conflicts in the context of the current refugee situation in Europe. Her approach to peace work and rese
This Brief brings together empirical accounts that contribute to the investigation of the cultural phenomena of deep personal experiences. It examines everyday life experiences and its influence on th
This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer
This book addresses the theory and practice of using digital resources for contemporary learning, and how such resources can be designed, developed, and employed in a variety of learning activities an
This book is based around the author’s beautiful and sometimes awe-inspiring color images and mosaics of deep-sky objects. The book describes how similar "Hubble class" images can be created by amateu
This book delves into two divergent, yet parallel themes; first is an examination of how educators can design the experiences of learning, with a focus on the learner and the end results of education;
This book posits the idea that networked learning is the one new paradigm in learning theory that has resulted from the introduction of digital and networked technologies. It sets out, in a single vol
Thisbrief examines and explores the reuse of learning objects to enhance students' learning experiences. The author details the difficulties of reusing learning objects, or the Reusability Paradox, an
With a long history and deep connection to the Earth’s resources, indigenous peoples have an intimate understanding and ability to observe the impacts linked to climate change. Traditional ecological
This updated second edition has all of the information needed for your successful forays into deep sky observing. Coe uses his years of experience to give detailed practical advice about how
This book discusses learning and teaching with modern technology in the new knowledge society. It focuses specifically on new literacy and technology in classroom environments. Based on a social-const
This book reports on the proceedings at the STELLAR Alpine Rendez-Vous 2013, presenting strategies in handling challenges that arise when using technology-enhanced learning (TEL). With insightful cont
Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous e
During the last several decades, self-regulation of learning has permeated all areas of learning and development, including teaching preparation programs. Self-regulatory competences are essential for
This book presents the current state of the art on Construction Grammar models and usage-based language learning research. It reports on three psycholinguistic experiments conducted with the participa
Efficient Learning Machines explores all the major topics of machine learning, including big data, knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and gami
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series co
Algebra and number theory have always been counted among the most beautiful mathematical areas with deep proofs and elegant results. However, for a long time they were not considered that important in
This book provides contemporary examples of the ways in which educators can use digital technologies to create effective learning environments that support improved learning and instruction. These exa
No longer are heavy, sturdy, expensive mounts and tripods required to photograph deep space. With today's advances in technology, all that is required is an entry-DSLR and an entry level GoTo telescop
The capabilities and possibilities of emerging game-based learning technologies bring about a new perspective of learning and instruction. This, in turn, necessitates alternative ways to assess the ki
