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Introduction to Programming with C++ for Engineers
A complete textbook and reference for engineers to learn the fundamentals of computer programming with modern C++ Introduction to Programming with C++ for Engineers is an original presentation teaching the fundamentals of computer programming and modern C++ to engineers and engineering students. Professor Cyganek, a highly regarded expert in his field, walks users through basics of data structures and algorithms with the help of a core subset of C++ and the Standard Library, progressing to the object-oriented domain and advanced C++ features, computer arithmetic, memory management and essentials of parallel programming, showing with real world examples how to complete tasks. He also guides users through the software development process, good programming practices, not shunning from explaining low-level features and the programming tools. Being a textbook, with the summarizing tables and diagrams the book becomes a highly useful reference for C++ programmers at all levels. Introduction to Programming with C++ for Engineers teaches how to program by: Guiding users from simple techniques with modern C++ and the Standard Library, to more advanced object-oriented design methods and language featuresProviding meaningful examples that facilitate understanding of the programming techniques and the C++ language constructionsFostering good programming practices which create better professional programmersMinimizing text descriptions, opting instead for comprehensive figures, tables, diagrams, and other explanatory materialGranting access to a complementary website that contains example code and useful links to resources that further improve the reader’s coding abilityIncluding test and exam question for the reader’s review at the end of each chapter Engineering students, students of other sciences who rely on computer programming, and professionals in various fields will find this book invaluable when learning to program with C++.
R 3,177.00

Introduction to Intelligent Systems in Traffic and Transportation
Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such as economical issues (cost of opportunity caused by delays), environmental (externalities related to emissions of pollutants), and social (traffic accidents). Solutions to these issues are more and more closely tied to information and communication technology. Indeed, a search in the technical literature (using the keyword ``urban traffic" to filter out articles on data network traffic) retrieved the following number of articles (as of December 3, 2013): 9,443 (ACM Digital Library), 26,054 (Scopus), and 1,730,000 (Google Scholar). Moreover, articles listed in the ACM query relate to conferences as diverse as MobiCom, CHI, PADS, and AAMAS. This means that there is a big and diverse community of computer scientists and computer engineers who tackle research that is connected to the development of intelligent traffic and transportation systems. It is also possible to see that this community is growing, and that research projects are getting more and more interdisciplinary. To foster the cooperation among the involved communities, this book aims at giving a broad introduction into the basic but relevant concepts related to transportation systems, targeting researchers and practitioners from computer science and information technology. In addition, the second part of the book gives a panorama of some of the most exciting and newest technologies, originating in computer science and computer engineering, that are now being employed in projects related to car-to-car communication, interconnected vehicles, car navigation, platooning, crowd sensing and sensor networks, among others. This material will also be of interest to engineers and researchers from the traffic and transportation community.
R 1,123.10

Introduction to Communication
Prioritizing brevity and clarity, this textbook introduces the study of communication through examples and applications of communication in a variety of contexts. With a unique focus on diversity and the impact of culture, each chapter opens with a case study that identifies a communication challenge, which the chapter addresses throughout, and concludes with questions that respond to that challenge. A consistent, organized structure with numerous features including fundamental issues, questions for understanding and analysis, theoretical insight (examining a particular relevant theory), and a skill set section, easily guides you through the foundations of the study of communication. Cross-referencing between chapters demonstrates the multidimensional nature of communication and the everyday talk sections demonstrate how each topic relates to technology, the workplace, or health issues. Offering a wealth of diverse examples from students' personal, professional, and online lives, this book teaches skills allowing students from all academic backgrounds to understand communication.
R 1,934.00

Introduction to Stress and Health
With a new chapter dedicated to psychosocial and environmental stressors such as racism, climate change, discrimination, collective trauma, and settler colonialism, this fully updated second edition of An Introduction to Stress and Health explains how chronic and acute stress can precipitate changes in the body that exacerbate and contribute to conditions including heart disease, diabetes, and depression. This is the first textbook to blend psychosocial and behavioural neuroscience perspectives, giving you a broad understanding of the immunological, neurochemical, hormonal and growth factor processes that can be influenced by stress. Anisman and Matheson further invite you to consider how different interventions and therapeutic strategies might be used to deal with stress and its consequences on the body. Its lively writing, fascinating case studies and signposts to further reading make this an indispensable guide for postgraduate students taking courses in health psychology, and stress, health, and illness. Hymie Anisman is Professor of Neuroscience at Carleton University. Kimberly Matheson is Research Chair in Culture and Gender Mental Health and Professor of Neuroscience at The Royal Ottawa’s Institute of Mental Health Research and Carleton University.
R 6,844.47

Introduction to Politics and Society
Introduction to Politics and Society comprehensively demonstrates how key theoretical and concepts in political science have foretold, rationalized and shaped politics in the contemporary world.Students will discover the meaning of `power′, `authority′, `coercion′, `surveillance′ and `legitimacy′. The ideas of Weber, Marx, Foucault, Bauman, Sennett, Habermas, Baudrillard and Giddens are explained with clarity and precision. Well-chosen examples, many from popular political culture illustrate the relevance of fundamental theoretical debates. This book also examines: - The central tendencies in the movement from modern to post-modern society- The significance, strengths and weaknesses of `Third Way′ politics- The decline of organized party politics- The development of new social movementsDeveloped with an understanding of the requirements of students and lecturers, this book is an extraordinary resource for undergraduate teaching and study needs. It will be required reading for undergraduate students in sociology, politics and social policy.
R 3,147.29
R 1,499.69

Introduction To Numerical Simulation For Trade Theory And Policy
This volume provides a practical guide to building and using simulation models for international trade theory and policy. Through a sequence of carefully constructed and fully documented programs, the volume illustrates how numerical simulation can be used to analyze a wide array of problems. Modern computable general equilibrium (CGE) models for trade policy are challenging in their complexity, but can be thought of as constructions of much simpler building blocks. By developing the building blocks in a consistent manner, and gradually putting them together in more complex and interesting ways, the volume makes CGE accessible to anyone with a background in microeconomics/trade theory. The volume will be useful to graduate students and researchers in international trade looking for a detailed guide to building simulation models and to developing the skill set necessary to enter into the world of CGE modeling.
R 2,596.18

Introduction To Probability, An: With Mathematica®
The main objective of this text is to facilitate a student's smooth learning transition from a course on probability to its applications in various areas. To achieve this goal, students are encouraged to experiment numerically with problems requiring computer solutions.
R 4,991.96

Introduction to Japanese Society
An Introduction to Japanese Society provides a highly readable introduction to Japanese society by internationally renowned scholar Yoshio Sugimoto. Taking a sociological approach, the text examines the multifaceted nature of contemporary Japanese society with chapters covering class, geographical and generational variation, work, education, gender, ethnicity, religion, popular culture, and the establishment. This edition begins with a new historical introduction placing the sociological analysis of contemporary Japan in context, and includes a new chapter on religion and belief systems. Comprehensively revised to include current research and statistics, the text covers changes to the labor market, evolving conceptions of family and gender, demographic shifts in an aging society, and the emergence of new social movements. Each chapter now contains illustrative case examples, research questions, recommended further readings and useful online resources. Written in a lively and engaging style, An Introduction to Japanese Society remains essential reading for all students of Japanese society.
R 1,781.88

Introduction To Air Pollution Science
This unique textbook examines the basic health and environmental issues associated with air pollution including the relevant toxicology and epidemiology. It provides a foundation for the sampling and analysis of air pollutants as well as an understanding of international air quality regulations. Written for upper-level undergraduate and introductory graduate courses in air pollution, the book is also a valuable desk reference for practicing professionals who need to have a broad understanding of the topic. Key features:- Provides the most up-to-date coverage of the basic health and environmental issues associated with air pollution.- Offers a broader examination of air pollution topics, beyond just the meteorological and engineering aspects of air pollution. - Includes the following Instructor Resources: Instructor's Manual, PowerPoint Presentations, and a TestBank.The Phalens have put together a timely book on a critically important topic that affects all of us -- air pollution – and they do so in a new and highly relevant way: they consider the broad societal health impacts from a fundamental science viewpoint. The epidemiology, toxicology, and risks of air pollutants are included, and ethical issues of concern are highlighted. This book is a must-read for students who wish to become professionals in the air quality field and for students of environmental science whose work includes air pollution issues. The book is a significant contribution to the discipline."- Cliff I. Davidson, Director, Center for Sustainable Engineering; Thomas C. and Colleen L. Wilmot Professor of Engineering, Syracuse Center of Excellence in Environmental and Energy Systems and Department of Civil and Environmental Engineering, Syracuse University"Truly, human well-being and public health in the 21st century may hinge on our ability to anticipate, recognize, evaluate, control, and confirm responsible management of air pollution. This timely, informative, and insightful text provides a solid introduction for students and a technically sound handbook for professionals seeking literacy and critical thinking, real-life examples, understanding (not just rote applications), opportunities for continuous improvement, and modern tools for assessing and managing current and evolving air pollution challenges."- Mark D. Hoover, PhD, CHP, CIHAerosol and health science researcher, author, and editor
R 4,354.00

Cambridge Introduction to Intercultural Communication
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
R 1,431.00

Lectures in Classical Thermodynamics with an Introduction to Statistical Mechanics
This textbook facilitates students’ ability to apply fundamental principles and concepts in classical thermodynamics to solve challenging problems relevant to industry and everyday life. It also introduces the reader to the fundamentals of statistical mechanics, including understanding how the microscopic properties of atoms and molecules, and their associated intermolecular interactions, can be accounted for to calculate various average properties of macroscopic systems. The author emphasizes application of the fundamental principles outlined above to the calculation of a variety of thermodynamic properties, to the estimation of conversion efficiencies for work production by heat interactions, and to the solution of practical thermodynamic problems related to the behavior of non-ideal pure fluids and fluid mixtures, including phase equilibria and chemical reaction equilibria. The book contains detailed solutions to many challenging sample problems in classical thermodynamics and statistical mechanics that will help the reader crystallize the material taught. Class-tested and perfected over 30 years of use by nine-time Best Teaching Award recipient Professor Daniel Blankschtein of the Department of Chemical Engineering at MIT, the book is ideal for students of Chemical and Mechanical Engineering, Chemistry, and Materials Science, who will benefit greatly from in-depth discussions and pedagogical explanations of key concepts. Distills critical concepts, methods, and applications from leading full-length textbooks, along with the author’s own deep understanding of the material taught, into a concise yet rigorous graduate and advanced undergraduate text;Enriches the standard curriculum with succinct, problem-based learning strategies derived from the content of 50 lectures given over the years in the Department of Chemical Engineering at MIT;Reinforces concepts covered with detailed solutions to illuminating and challenging homework problems.
R 4,030.00

Introduction to Machine Learning
This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. This Third Edition covers newer approaches that have become highly topical, including deep learning, and auto-encoding, introductory information about temporal learning and hidden Markov models, and a much more detailed treatment of reinforcement learning. The book is written in an easy-to-understand manner with many examples and pictures, and with a lot of practical advice and discussions of simple applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, rule-induction programs, artificial neural networks, support vector machines, boosting algorithms, unsupervised learning (including Kohonen networks and auto-encoding), deep learning, reinforcement learning, temporal learning (including long short-term memory), hidden Markov models, and the genetic algorithm. Special attention is devoted to performance evaluation, statistical assessment, and to many practical issues ranging from feature selection and feature construction to bias, context, multi-label domains, and the problem of imbalanced classes.
R 2,866.50

Introduction to Text Visualization
This book provides a systematic review of many advanced techniques to support the analysis of large collections of documents, ranging from the elementary to the profound, covering all the aspects of the visualization of text documents. Particularly, we start by introducing the fundamental concept of information visualization and visual analysis, followed by a brief survey of the field of text visualization and commonly used data models for converting document into a structured form for visualization. Then we introduce the key visualization techniques including visualizing document similarity, content, sentiments, as well as text corpus exploration system in details with concrete examples in the rest of the book.
R 2,732.54

Introduction to Statistical Methods
An Introduction to Statistical Methods presents the mathematics of probability theory (including numerous probability distributions) and the foundations of statistical inference (via hypothesis testing). Numerous examples and figures illustrate the various concepts while hundreds of exercises compliment the text by reinforcing (and extending) the ideas. Full-page summaries of each distribution are included at the end of the section. Tables for the normal distribution, t-distribution, and chi-square distribution are included as an appendix. Solutions to every problem in the text are included in the back of the text making this text ideal for those who would like to learn the material by themselves. No prior knowledge of probability is required, though a course in multivariate calculus is needed as multiple integrals are used.
R 2,081.90
Introduction to Sustainable Aquaculture
This new textbook provides an accessible introduction to sustainable aquaculture through its relationship with three key pillars: the environment, the economy and society.As the demand for seafood keeps increasing, aquaculture is considered one of the most promising and sustainable way to satisfy this demand with nutritious and high-quality food. It is important to understand, therefore, the wider role and impact aquaculture has on the environment, the economy and society. The book begins by providing a foundational introduction to aquaculture and sustainability, discussing the complex and interdepended relationship that exists between the two. The core text of the book is divided into four parts which focus on the environment, economics, social impacts and governance and technologies. Chapters examines key issues surrounding climate change, food security, new technologies, bioeconomics and risk analysis, international cooperation, employment and animal welfare, with the book concluding with a chapter examining the future directions and challenges for the aquaculture industry. The book draws on global case studies and each chapter is accompanied by recommended reading and chapter review questions to support student learning.This book will serve as an essential guide for students of aquaculture, fisheries management and sustainable food as well as practitioners and policymakers engaged in sustainable fishery development.
R 9,329.09

Introduction to Bayesian Analysis
This is a graduate-level textbook on Bayesian analysis blending modern Bayesian theory, methods, and applications. Starting from basic statistics, undergraduate calculus and linear algebra, ideas of both subjective and objective Bayesian analysis are developed to a level where real-life data can be analyzed using the current techniques of statistical computing.Advances in both low-dimensional and high-dimensional problems are covered, as well as important topics such as empirical Bayes and hierarchical Bayes methods and Markov chain Monte Carlo (MCMC) techniques.Many topics are at the cutting edge of statistical research. Solutions to common inference problems appear throughout the text along with discussion of what prior to choose. There is a discussion of elicitation of a subjective prior as well as the motivation, applicability, and limitations of objective priors. By way of important applications the book presents microarrays, nonparametric regression via wavelets as well as DMA mixtures of normals, and spatial analysis with illustrations using simulated and real data. Theoretical topics at the cutting edge include high-dimensional model selection and Intrinsic Bayes Factors, which the authors have successfully applied to geological mapping.The style is informal but clear. Asymptotics is used to supplement simulation or understand some aspects of the posterior.
R 4,395.47

Introduction to Game Theory in Business and Economics
Game theory is the study of strategic behavior in situations in which the decision makers are aware of the interdependence of their actions. This innovative textbook introduces students to the most basic principles of game theory - move and countermove - with an emphasis on real-world business and economic applications. Students with a background in principles of economics and business mathematics can readily understand most of the material.Demonstration problems in each chapter are designed to enhance the student's understanding of the concepts presented in the text. Many chapters include non-technical applications designed to further the student's intuitive understanding of strategic behavior. Case studies help underscore the usefulness of game theory for analyzing real-world situations. Each chapter concludes with a review and questions and exercises. An online Instructor's Manual with test bank is available to professors who adopt the text.
R 3,763.35

Introduction to the Statistical Physics of Integrable Many-body Systems
Including topics not traditionally covered in literature, such as (1+1)-dimensional QFT and classical 2D Coulomb gases, this book considers a wide range of models and demonstrates a number of situations to which they can be applied. Beginning with a treatise of nonrelativistic 1D continuum Fermi and Bose quantum gases of identical spinless particles, the book describes the quantum inverse scattering method and the analysis of the related Yang–Baxter equation and integrable quantum Heisenberg models. It also discusses systems within condensed matter physics, the complete solution of the sine-Gordon model and modern trends in the thermodynamic Bethe ansatz. Each chapter concludes with problems and solutions to help consolidate the reader's understanding of the theory and its applications. Basic knowledge of quantum mechanics and equilibrium statistical physics is assumed, making this book suitable for graduate students and researchers in statistical physics, quantum mechanics and mathematical and theoretical physics.
R 7,889.00
R 1,010.03

Introduction to Nonlinear Physics
This textbook provides an introduction to the new science of nonlinear physics for advanced undergraduates, beginning graduate students, and researchers entering the field. The chapters, by pioneers and experts in the field, share a unified perspective. Nonlinear science developed out of the increasing ability to investigate and analyze systems for which effects are not simply linear functions of their causes; it is associated with such well-known code words as chaos, fractals, pattern formation, solitons, cellular automata, and complex systems. Nonlinear phenomena are important in many fields, including dynamical systems, fluid dynamics, materials science, statistical physics, and paritcel physics. The general principles developed in this text are applicable in a wide variety of fields in the natural and social sciences. The book will thus be of interest not only to physicists, but also to engineers, chemists, geologists, biologists, economists, and others interested in nonlinear phenomena. Examples and exercises complement the text, and extensive references provide a guide to research in the field.
R 1,578.11


Introduction to Pablo González Casanova
This book is an introduction to Pablo González Casanova, giant of Latin American sociology. It examines his work across history, sociology, political science, and anthropology, exploring in depth his writings on the university, democracy, the new sciences, alternatives to capitalism, the humanities, equity with social justice, patriarchal domination, and the struggle for planet earth.This book provides insights into a foundational Latin American perspective on global realities. It argues that Pablo González Casanova contributes original elements for the construction of a critical theory in the social sciences and humanities of Mexico, Latin America, and the Caribbean. With an enriching interdisciplinary perspective, this book will be of interest to scholars from a range of specialized interests in sociology, political science, philosophy, anthropology, cultural studies, scientific epistemology, methodology, and critical thinking in the alternative field to capitalism.
R 9,299.10

Introduction to Fronts in Random Media
This book aims to give a user friendly tutorial of an interdisciplinary research topic (fronts or interfaces in random media) to senior undergraduates and beginning grad uate students with basic knowledge of partial differential equations (PDE) and prob ability. The approach taken is semiformal, using elementary methods to introduce ideas and motivate results as much as possible, then outlining how to pursue rigor ous theorems, with details to be found in the references section. Since the topic concerns both differential equations and probability, and proba bility is traditionally a quite technical subject with a heavy measure theoretic com ponent, the book strives to develop a simplistic approach so that students can grasp the essentials of fronts and random media and their applications in a self contained tutorial. The book introduces three fundamental PDEs (the Burgers equation, Hamilton– Jacobi equations, and reaction–diffusion equations), analysis of their formulas and front solutions, and related stochastic processes. It builds up tools gradually, so that students are brought to the frontiers of research at a steady pace. A moderate number of exercises are provided to consolidate the concepts and ideas. The main methods are representation formulas of solutions, Laplace meth ods, homogenization, ergodic theory, central limit theorems, large deviation princi ples, variational principles, maximum principles, and Harnack inequalities, among others. These methods are normally covered in separate books on either differential equations or probability. It is my hope that this tutorial will help to illustrate how to combine these tools in solving concrete problems.
R 1,400.65

Introduction to Medical Statistics
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.
R 2,359.00

Introduction to Psychometric Theory
This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tips on how to use test theory in today’s actual testing situations.To reflect the growing use of statistical software in psychometrics, the authors introduce the use of Mplus after the first few chapters. IBM SPSS, SAS, and R are also featured in several chapters. Software codes and associated outputs are reviewed throughout to enhance comprehension. Essentially all of the data used in the book are available on the website. In addition instructors will find helpful PowerPoint lecture slides and questions and problems for each chapter. The authors rely on LVM when discussing fundamental concepts such as exploratory and confirmatory factor analysis, test theory, generalizability theory, reliability and validity, interval estimation, nonlinear factor analysis, generalized linear modeling, and item response theory. The varied applications make this book a valuable tool for those in the behavioral, social, educational, and biomedical disciplines, as well as in business, economics, and marketing. A brief introduction to R is also provided.Intended as a text for advanced undergraduate and/or graduate courses in psychometrics, testing and measurement, measurement theory, psychological testing, and/or educational and/or psychological measurement taught in departments of psychology, education, human development, epidemiology, business, and marketing, it will also appeal to researchers in these disciplines. Prerequisites include an introduction to statistics with exposure to regression analysis and ANOVA. Familiarity with SPSS, SAS, STATA, or R is also beneficial. As a whole, the book provides an invaluable introduction to measurement and test theory to those with limited or no familiarity with the mathematical and statistical procedures involved in measurement and testing.
R 7,327.00

Introduction to Continuous-Time Stochastic Processes
This textbook, now in its fourth edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, it features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. No previous knowledge of stochastic processes is required. Unlike other books on stochastic methods that specialize in a specific field of applications, this volume examines the ways in which similar stochastic methods can be applied across different fields.Beginning with the fundamentals of probability, the authors go on to introduce the theory of stochastic processes, the Itô Integral, and stochastic differential equations. The following chapters then explore stability, stationarity, and ergodicity. The second half of the book is dedicated to applications to a variety of fields, including finance, biology, and medicine. Some highlights of this fourth edition include a more rigorous introduction to Gaussian white noise, additional material on the stability of stochastic semigroups used in models of population dynamics and epidemic systems, and the expansion of methods of analysis of one-dimensional stochastic differential equations.An Introduction to Continuous-Time Stochastic Processes, Fourth Edition is intended for graduate students taking an introductory course on stochastic processes, applied probability, stochastic calculus, mathematical finance, or mathematical biology. Prerequisites include knowledge of calculus and some analysis; exposure to probability would be helpful but not required since the necessary fundamentals of measure and integration are provided. Researchers and practitioners in mathematical finance, biomathematics, biotechnology, and engineering will also find this volume to be of interest, particularly the applications explored in the second half of the book.
R 2,198.00

Introduction to Statistical Limit Theory
Helping students develop a good understanding of asymptotic theory, Introduction to Statistical Limit Theory provides a thorough yet accessible treatment of common modes of convergence and their related tools used in statistics. It also discusses how the results can be applied to several common areas in the field.The author explains as much of the background material as possible and offers a comprehensive account of the modes of convergence of random variables, distributions, and moments, establishing a firm foundation for the applications that appear later in the book. The text includes detailed proofs that follow a logical progression of the central inferences of each result. It also presents in-depth explanations of the results and identifies important tools and techniques. Through numerous illustrative examples, the book shows how asymptotic theory offers deep insight into statistical problems, such as confidence intervals, hypothesis tests, and estimation. With an array of exercises and experiments in each chapter, this classroom-tested book gives students the mathematical foundation needed to understand asymptotic theory. It covers the necessary introductory material as well as modern statistical applications, exploring how the underlying mathematical and statistical theories work together.
R 9,375.23

Recursive Introduction to the Theory of Computation
The aim of this textbook is to present an account of the theory of computation. After introducing the concept of a model of computation and presenting various examples, the author explores the limitations of effective computation via basic recursion theory. Self-reference and other methods are introduced as fundamental and basic tools for constructing and manipulating algorithms. From there the book considers the complexity of computations and the notion of a complexity measure is introduced. Finally, the book culminates in considering time and space measures and in classifying computable functions as being either feasible or not. The author assumes only a basic familiarity with discrete mathematics and computing, making this textbook ideal for a graduate-level introductory course. It is based on many such courses presented by the author and so numerous exercises are included. In addition, the solutions to most of these exercises are provided.
R 1,592.41

Introduction to Languages, Machines and Logic
A well-written and accessible introduction to the most important features of formal languages and automata theory. It focuses on the key concepts, illustrating potentially intimidating material through diagrams and pictorial representations, and this edition includes new and expanded coverage of topics such as: reduction and simplification of material on Turing machines; complexity and O notation; propositional logic and first order predicate logic. Aimed primarily at computer scientists rather than mathematicians, algorithms and proofs are presented informally through examples, and there are numerous exercises (many with solutions) and an extensive glossary.
R 2,240.15

Introduction to Philosophy
This new textbook is a lively and highly accessible introduction to philosophy. From the fundamental issues of philosophical thought to the latest theories in the philosophy of mind, An Introduction to Philosophy provides clear and incisive discussion of the key areas of philosophy for students new to the subject. Provides the tools new students need to tackle philosophical arguments themselves Clearly presents and explains contemporary issues and current debates Covers the key areas of philosophy, including perception, epistemology, metaphysics, the mind, philosophy of religion, ethics and political philosophy Contains numerous learning features such as introductions, summaries, questions and further reading An Introduction to Philosophy is an ideal text for AS level, A level and first-year undergraduate students or anyone studying the subject for the first time.
R 883.00

Introduction to Disability Inclusive Disaster Risk Reduction
This first of its kind volume introduces Disability Inclusive Disaster Risk Reduction (DIDRR) in unprecedented critical and interdisciplinary ways covering the complex conceptual, theoretical and practice terrain. Established and emerging scholars and practitioners introduce and probe key discourses, theory, policy and practice at the intersections of disability, disasters and disaster risk reduction, navigating compound and dynamic areas including climate change, governance, wars and conflict, forced migration, disability representation, geopolitics, gender and ethnicity. This edited book lays out and questions established policies, discourses and practices in mainstream areas including Disaster Risk Reduction, Disaster Risk Management and Humanitarian Action, opening an effective critical debate to understand, challenge and shift dominant paradigms. By developing new theory on DIDRR, it will serve as an important tool for academics, researchers and practitioners working in multiple fields including disability studies, disaster management, global health, humanitarian studies, international studies and geography among others.
R 2,381.00

Student Solutions Manual to accompany Introduction to Ordinary Differential Equations, 4e
Fully-worked solutions to problems encountered in the bestselling differentials text Introduction to Ordinary Differential Equations, Student Solutions Manual, 4th Edition provides solutions to practice problems given in the original textbook. Aligned chapter-by-chapter with the text, each solution provides step-by-step guidance while explaining the logic behind each step in the process of solving differential equations. From first-order equations and higher-order linear differentials to constant coefficients, series solutions, systems, approximations, and more, this solutions guide clarifies increasingly complex calculus with practical, accessible instruction.
R 3,500.00

R 455.00


Introduction to Quantum Stochastic Calculus
"Elegantly written, with obvious appreciation for fine points of higher mathematics...most notable is [the] author's effort to weave classical probability theory into [a] quantum framework." – The American Mathematical Monthly "This is an excellent volume which will be a valuable companion both for those who are already active in the field and those who are new to it. Furthermore there are a large number of stimulating exercises scattered through the text which will be invaluable to students." – Mathematical Reviews An Introduction to Quantum Stochastic Calculus aims to deepen our understanding of the dynamics of systems subject to the laws of chance both from the classical and the quantum points of view and stimulate further research in their unification. This is probably the first systematic attempt to weave classical probability theory into the quantum framework and provides a wealth of interesting features: The origin of Ito's correction formulae for Brownian motion and the Poisson process can be traced to communication relations or, equivalently, the uncertainty principle.Quantum stochastic interpretation enables the possibility of seeing new relationships between fermion and boson fields.Quantum dynamical semigroups as well as classical Markov semigroups are realized through unitary operator evolutions. The text is almost self-contained and requires only an elementary knowledge of operator theory and probability theory at the graduate level.
R 2,790.19

Introduction to Modern Mathematical Computing
Thirty years ago mathematical, as opposed to applied numerical, computation was difficult to perform and so relatively little used. Three threads changed that: the emergence of the personal computer; the discovery of fiber-optics and the consequent development of the modern internet; and the building of the Three “M’s” Maple, Mathematica and Matlab. We intend to persuade that Maple and other like tools are worth knowing assuming only that one wishes to be a mathematician, a mathematics educator, a computer scientist, an engineer or scientist, or anyone else who wishes/needs to use mathematics better. We also hope to explain how to become an `experimental mathematician' while learning to be better at proving things. To accomplish this our material is divided into three main chapters followed by a postscript. These cover elementary number theory, calculus of one and several variables, introductory linear algebra, and visualization and interactive geometric computation.
R 2,113.24

Short Introduction to Mathematical Concepts in Physics
Mathematics is the language of physics and yet, mathematics is an enormous subject. This textbook provides an accessible and concise introduction to mathematical physics for undergraduate students taking a one semester course.It assumes the reader has studied a year of introductory physics and three semesters of basic calculus, including some vector calculus, but no formal training in differential equations or matrix algebra. It equips readers with the skills and foundational knowledge they need for courses that follow in classical mechanics, electromagnetism, quantum mechanics, and thermal physics.This book exposes students early on to the kinds of mathematical manipulations they will need in upper-level courses in physics. It can also serve as a useful reference for their further studies.Key features:Accompanied by homework problems and a solutions manual for instructors, available upon qualifying course adoptionBridges the gap between calculus and physics, explaining fundamental mathematics (differentiation, integration, infinite series) in physical termsExplores quick extensions into mathematics useful in physics, not typically taught in math courses, including the Gamma Function, hyperbolic functions, Gaussian integrals, Legendre polynomials, functions of a complex variable, and probability distribution functions
R 3,226.52

Introduction to Cryptocurrencies
The Crypto Market Ecosystem has emerged as the most profound application of blockchain technology in finance. This textbook adopts an integrated approach, linking traditional functions of the current financial system (payments, traded assets, fundraising, regulation) with the respective functions in the crypto market, in order to facilitate the reader in their understanding of how this new ecosystem works. The book walks the reader through the main features of the blockchain technology, the definitions, classifications, and distinct characteristics of cryptocurrencies and tokens, how these are evaluated, how funds are raised in the cryptocurrency ecosystem (ICOs), and what the main regulatory approaches are. The authors have compiled more than 100 sources from different sub-fields of economics, finance, and regulation to create a coherent textbook that provides the reader with a clear and easily understandable picture of the new world of encrypted finance and its applications.The book is primarily aimed at business and finance students, who already have an understanding of the basic principles of how the financial system works, but also targets a more general readership, by virtue of its broader scope and engaging and accessible tone.
R 7,548.53

Introduction to Children, Young People and Policy
Introduction to Children, Young People and Policy is a customised textbook compiled by Erica Joselyn-Beales, Jessica Clark and Sarah Richards for students of University Campus Suffolk
R 1,666.23

Introduction to Computational Micromechanics
In this, its second corrected printing, Zohdi and Wriggers’ illuminating text presents a comprehensive introduction to the subject. The authors include in their scope basic homogenization theory, microstructural optimization and multifield analysis of heterogeneous materials. This volume is ideal for researchers and engineers, and can be used in a first-year course for graduate students with an interest in the computational micromechanical analysis of new materials.
R 4,100.82

Cambridge Introduction to Intercultural Communication
Uniquely interdisciplinary and accessible, The Cambridge Introduction to Intercultural Communication is the ideal text for undergraduate introductory courses in Intercultural Communication, International Communication and Cross-cultural Communication. Suitable for students and practitioners alike, it encompasses the breadth of intercultural communication as an academic field and a day-to-day experience in work and private life, including international business, public services, schools and universities. This textbook touches on a range of themes in intercultural communication, such as evolutionary and positive psychology, key concepts from critical intercultural communication, postcolonial studies and transculturality, intercultural encounters in contemporary literature and film, and the application of contemporary intercultural communication research for the development of health services and military services. The concise, up-to-date overviews of key topics are accompanied by a wide variety of tasks and eighteen case studies for in-depth discussions, homework, and assessments.
R 4,525.00










































