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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
Introduction to Combinatorics
Praise for the First Edition “This excellent text should prove a useful accoutrement for any developing mathematics program . . . it’s short, it’s sweet, it’s beautifully written.” —The Mathematical Intelligencer “Erickson has prepared an exemplary work . . . strongly recommended for inclusion in undergraduate-level library collections.” —Choice Featuring a modern approach, Introduction to Combinatorics, Second Edition illustrates the applicability of combinatorial methods and discusses topics that are not typically addressed in literature, such as Alcuin’s sequence, Rook paths, and Leech’s lattice. The book also presents fundamental results, discusses interconnection and problem-solving techniques, and collects and disseminates open problems that raise questions and observations. Many important combinatorial methods are revisited and repeated several times throughout the book in exercises, examples, theorems, and proofs alike, allowing readers to build confidence and reinforce their understanding of complex material. In addition, the author successfully guides readers step-by-step through three major achievements of combinatorics: Van der Waerden’s theorem on arithmetic progressions, Pólya’s graph enumeration formula, and Leech’s 24-dimensional lattice. Along with updated tables and references that reflect recent advances in various areas, such as error-correcting codes and combinatorial designs, the Second Edition also features: Many new exercises to help readers understand and apply combinatorial techniques and ideasA deeper, investigative study of combinatorics through exercises requiring the use of computer programsOver fifty new examples, ranging in level from routine to advanced, that illustrate important combinatorial conceptsBasic principles and theories in combinatorics as well as new and innovative results in the field Introduction to Combinatorics, Second Edition is an ideal textbook for a one- or two-semester sequence in combinatorics, graph theory, and discrete mathematics at the upper-undergraduate level. The book is also an excellent reference for anyone interested in the various applications of elementary combinatorics.
R 3,471.00
Introduction to Veterinary Genetics
The concepts of veterinary genetics are crucial to understanding and controlling many diseases and disorders in animals. They are also crucial to enhancing animal production. Accessible and clearly presented, Introduction to Veterinary Genetics provides a succinct introduction to the aspects of genetics relevant to animal diseases and production. Now in its third edition, this is the only introductory level textbook on genetics that has been written specifically for veterinary and animal science students. Coverage includes: basic genetics, molecular biology, genomics, cytogenetics, immunogenetics, population genetics, quantitative genetics, biotechnology, and the use of molecular tools in the control of inherited disorders. This book describes in detail how genetics is being applied to artificial selection in animal production. It also covers the conservation of genetic diversity in both domesticated and wild animals. New for the Third Edition: End-of-chapter summaries provide quick recaps.Covers new topics: epigenetics, genomics and bioinformatics.Thoroughly revised according to recent advances in genetics. Introduction to Veterinary Genetics is still the only introductory genetics textbook for students of veterinary and animal science and will continue to be an indispensable reference tool for veterinary students and practitioners alike.
R 2,706.00
Walk Through Combinatorics, A: An Introduction To Enumeration And Graph Theory
This is a textbook for an introductory combinatorics course that can take up one or two semesters. An extensive list of problems, ranging from routine exercises to research questions, is included. In each section, there are also exercises that contain material not explicitly discussed in the preceding text, so as to provide instructors with extra choices if they want to shift the emphasis of their course.Just as with the first edition, the new edition walks the reader through the classic parts of combinatorial enumeration and graph theory, while also discussing some recent progress in the area: on the one hand, providing material that will help students learn the basic techniques, and on the other hand, showing that some questions at the forefront of research are comprehensible and accessible for the talented and hard-working undergraduate. The basic topics discussed are: the twelvefold way, cycles in permutations, the formula of inclusion and exclusion, the notion of graphs and trees, matchings and Eulerian and Hamiltonian cycles. The selected advanced topics are: Ramsey theory, pattern avoidance, the probabilistic method, partially ordered sets, and algorithms and complexity.As the goal of the book is to encourage students to learn more combinatorics, every effort has been made to provide them with a not only useful, but also enjoyable and engaging reading.
R 2,815.26
Introduction to Multiple Time Series Analysis
This graduate level textbook deals with analyzing and forecasting multiple time series. It considers a wide range of multiple time series models and methods. The models include vector autoregressive, vector autoregressive moving average, cointegrated, and periodic processes as well as state space and dynamic simultaneous equations models. Least squares, maximum likelihood, and Bayesian methods are considered for estimating these models. Different procedures for model selection or specification are treated and a range of tests and criteria for evaluating the adequacy of a chosen model are introduced. The choice of point and interval forecasts is considered and impulse response analysis, dynamic multipliers as well as innovation accounting are presented as tools for structural analysis within the multiple time series context. This book is accessible to graduate students in business and economics. In addition, multiple time series courses in other fields such as statistics and engineering may be based on this book. Applied researchers involved in analyzing multiple time series may benefit from the book as it provides the background and tools for their task. It enables the reader to perform his or her analyses in a gap to the difficult technical literature on the topic.
R 1,794.57
Modern Introduction to Probability and Statistics
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books
R 1,454.58
Introduction to Applied Multivariate Analysis with R
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos.An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.
R 1,958.56
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 2,447.93
R 458.00
Introduction to Psycholinguistics
The new edition of the popular introduction to the field of psycholinguistics, providing a solid foundation for understanding how people produce and comprehend language Introduction to Psycholinguistics: Understanding Language Science, Second Edition, presents a comprehensive overview of the cognitive processes involved in language acquisition, production, and comprehension. Balancing depth and accessibility, this bestselling textbook adopts a multidisciplinary approach to the study of language that incorporates perspectives from psychology, linguistics, philosophy, computer science, neurology, neurophysiology, and related fields. Student-friendly chapters explain the core components of speech, discuss how the brain receives and applies the basic building blocks of language, review leading research in psycholinguistics, describe the experimental evidence behind major theories, and more. Fully updated to incorporate recent developments in the field, the second edition of Introduction to Psycholinguistics includes a new section devoted to language and cognitive disorders, two entirely new chapters on language as aspects of autism and schizophrenia, updated illustrations and learning objectives, and new coverage of language acquisition, the cognitive neuroscience of language, bilingualism, and sign language. This valuable textbook: Reviews leading research and theory in psycholinguistics, including in-depth descriptions of the experimental evidence behind theoriesDescribes phonology, morphology, semantics, syntax, pragmatics, and other key components of languageCovers bilingualism, second-language acquisition, sign language comprehension, reading comprehension, and non-literal language interpretationDiscusses cognitive disorders such as autism, aphasia, schizophrenia, and specific language impairment (SLI)Offers clear learning objectives, engaging thought exercises, chapter review questions, and step-by-step explanations of all key conceptsProvides resources for instructors and students, including a companion website with review exercises, quizzes, PowerPoint slides, test banks, and other supplementary materials Introduction to Psycholinguistics: Understanding Language Science, Second Edition, is an excellent textbook for upper-level undergraduate courses in psycholinguistics, language processing, and cognitive or communication disorders, as well as related courses in psychology, linguistics, cognitive science, neuroscience, language education, and computational linguistics.
R 1,961.00
Open for Business: An Introduction to the Real World
More than 20% of students choose business as a major. Give your students a leg up on the competition....Open For Business: An Introduction to the Real World introduces today's time-starved community college students to the world of business. Written by long-time community college educators, this introductory level business textbook, provides all of the necessary information in an easily readable and retainable format.Written in a plain, flowing, and easy to read format, Open For Business: An Introduction to the Real World focuses on ""real world"" application scenarios providing the reader with practical, usable advice in addition to high-end concepts and theories.Available in print and eBook formats, Open For Business: An Introduction to the Real World:Is practical! The book explains business basics through examples and practical advice so students can start using learned concepts right away.Is logical! The text provides a logical introduction to business: basic ideas build on one another and lead to more advanced business concepts. Is student friendly!Learning Objectives and Opening Story vignettes introduce the reader to important concepts they will encounter in each chapter.Is accessible! A running glossary in the margin provides the reader with easily accessible material.Gauges comprehension!Chapter Summaries, Review Questions, Discussion Questions, and References reinforce the concepts learned and encourage the reader to test his/her comprehension of concepts taught.
R 3,398.00
Introduction to Analysis
Introduction to Analysis is an ideal text for a one semester course on analysis. The book covers standard material on the real numbers, sequences, continuity, differentiation, and series, and includes an introduction to proof. The author has endeavored to write this book entirely from the student’s perspective: there is enough rigor to challenge even the best students in the class, but also enough explanation and detail to meet the needs of a struggling student. From the Author to the student:"I vividly recall sitting in an Analysis class and asking myself, ‘What is all of this for?’ or ‘I don’t have any idea what’s going on.’ This book is designed to help the student who finds themselves asking the same sorts of questions, but will also challenge the brightest students."Chapter 1 is a basic introduction to logic and proofs.Informal summaries of the idea of proof provided before each result, and before a solution to a practice problem.Every chapter begins with a short summary, followed by a brief abstract of each section. Each section ends with a concise and referenced summary of the material which is designed to give the student a "big picture" idea of each section.There is a brief and non-technical summary of the goals of a proof or solution for each of the results and practice problems in this book, which are clearly marked as "Idea of proof," or as "Methodology", followed by a clearly marked formal proof or solution.Many references to previous definitions and results. A "Troubleshooting Guide" appears at the end of each chapter that answers common questions.
R 2,564.00
Introduction to the Mathematics of Money
This is an undergraduate textbook on the basic aspects of personal savings and investing with a balanced mix of mathematical rigor and economic intuition. It uses routine financial calculations as the motivation and basis for tools of elementary real analysis rather than taking the latter as given. Proofs using induction, recurrence relations and proofs by contradiction are covered. Inequalities such as the Arithmetic-Geometric Mean Inequality and the Cauchy-Schwarz Inequality are used. Basic topics in probability and statistics are presented. The student is introduced to elements of saving and investing that are of life-long practical use. These include savings and checking accounts, certificates of deposit, student loans, credit cards, mortgages, buying and selling bonds, and buying and selling stocks.The book is self contained and accessible. The authors follow a systematic pattern for each chapter including a variety of examples and exercises ensuring that the student deals with realities, rather than theoretical idealizations. It is suitable for courses in mathematics, investing, banking, financial engineering, and related topics.
R 2,769.10
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R 3,114.00
Introduction to Deep Learning for Healthcare
This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that can effectively model health data. Healthcare data: Among all healthcare technologies, electronic health records (EHRs) had vast adoption and a significant impact on healthcare delivery in recent years. One crucial benefit of EHRs is to capture all the patient encounters with rich multi-modality data. Healthcare data include both structured and unstructured information. Structured data include various medical codes for diagnoses and procedures, lab results, and medication information. Unstructured data contain 1) clinical notes as text, 2) medical imaging data such as X-rays, echocardiogram, and magnetic resonance imaging (MRI), and 3) time-series data such as the electrocardiogram (ECG) and electroencephalogram (EEG). Beyond the data collected during clinical visits, patient self-generated/reported data start to grow thanks to wearable sensors’ increasing use. The authors present deep learning case studies on all data described.Deep learning models: Neural network models are a class of machine learning methods with a long history. Deep learning models are neural networks of many layers, which can extract multiple levels of features from raw data. Deep learning applied to healthcare is a natural and promising direction with many initial successes. The authors cover deep neural networks, convolutional neural networks, recurrent neural networks, embedding methods, autoencoders, attention models, graph neural networks, memory networks, and generative models. It’s presented with concrete healthcare case studies such as clinical predictive modeling, readmission prediction, phenotyping, x-ray classification, ECG diagnosis, sleep monitoring, automatic diagnosis coding from clinical notes, automatic deidentification, medication recommendation, drug discovery (drug property prediction and molecule generation), and clinical trial matching.This textbook targets graduate-level students focused on deep learning methods and their healthcare applications. It can be used for the concepts of deep learning and its applications as well. Researchers working in this field will also find this book to be extremely useful and valuable for their research.
R 2,617.68
First Introduction to Quantum Physics
In this undergraduate textbook, now in its 2nd edition, the author develops the quantum theory from first principles based on very simple experiments: a photon traveling through beam splitters to detectors, an electron moving through magnetic fields, and an atom emitting radiation. From the physical description of these experiments follows a natural mathematical description in terms of matrices and complex numbers.The first part of the book examines how experimental facts force us to let go of some deeply held preconceptions and develops this idea into a description of states, probabilities, observables, and time evolution. The quantum mechanical principles are illustrated using applications such as gravitational wave detection, magnetic resonance imaging, atomic clocks, scanning tunneling microscopy, and many more. The first part concludes with an overview of the complete quantum theory.The second part of the book covers more advanced topics, including the concept of entanglement, the process of decoherence or how quantum systems become classical, quantum computing and quantum communication, and quantum particles moving in space. Here, the book makes contact with more traditional approaches to quantum physics. The remaining chapters delve deeply into the idea of uncertainty relations and explore what the quantum theory says about the nature of reality.The book is an ideal accessible introduction to quantum physics, tested in the classroom, with modern examples and plenty of end-of-chapter exercises.
R 2,381.00
Introduction to Migration Studies
This open access textbook provides an introduction to theories, concepts and methodological approaches concerning various facets of migration and migration-related diversities. It starts with an introduction to migration studies and continues with an introductory reading of migration drivers, migration infrastructures, migration flows, and several transversal topics such as gender and migration. It also covers politics, policies and governance as well as specific research methods.As an interactive guide, this book develops an innovative format that brings a connection with various online sources. This means that whereas the chapters bring together literature in a coherent way, they are also connected to IMISCOE's online interactive Migration Research Hub for further reading and for more empirical material on migration and diversity.As such, this textbook provides a very useful introductory reading for undergraduate and graduate students as well as for policymakers, policy advisors, and all those interested in studies on migration and migration-related diversities.
R 1,455.61
Pythagorean Introduction to Number Theory
Right triangles are at the heart of this textbook’s vibrant new approach to elementary number theory. Inspired by the familiar Pythagorean theorem, the author invites the reader to ask natural arithmetic questions about right triangles, then proceeds to develop the theory needed to respond. Throughout, students are encouraged to engage with the material by posing questions, working through exercises, using technology, and learning about the broader context in which ideas developed.Progressing from the fundamentals of number theory through to Gauss sums and quadratic reciprocity, the first part of this text presents an innovative first course in elementary number theory. The advanced topics that follow, such as counting lattice points and the four squares theorem, offer a variety of options for extension, or a higher-level course; the breadth and modularity of the later material is ideal for creating a senior capstone course. Numerous exercises are included throughout, many of which are designed for SageMath.By involving students in the active process of inquiry and investigation, this textbook imbues the foundations of number theory with insights into the lively mathematical process that continues to advance the field today. Experience writing proofs is the only formal prerequisite for the book, while a background in basic real analysis will enrich the reader’s appreciation of the final chapters.
R 2,015.00
Introduction to Combinatorics
What Is Combinatorics Anyway?Broadly speaking, combinatorics is the branch of mathematics dealingwith different ways of selecting objects from a set or arranging objects. Ittries to answer two major kinds of questions, namely, counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties?The authors have presented a text for students at all levels of preparation.For some, this will be the first course where the students see several real proofs. Others will have a good background in linear algebra, will have completed the calculus stream, and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problemsto give the reader a better idea of what the subject covers. The nextchapters explore enumerative ideas and also probability. It then moves on toenumerative functions and the relations between them, and generating functions and recurrences.,Important families of functions, or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets, graphs, codes, Latin squares, and experimental designs follow. Theauthors conclude with further discussion of the interaction between linear algebraand combinatorics.Features Two new chapters on probability and posets. Numerous new illustrations, exercises, and problems. More examples on current technology use A thorough focus on accuracy Three appendices: sets, induction and proof techniques, vectors and matrices, and biographies with historical notes, Flexible use of MapleTM and MathematicaTM
R 2,564.00
Introduction to Crime and Crime Causation
An Introduction to Crime and Crime Causation is a student-friendly textbook that defines and explains the concepts of crime, criminal law, and criminology. Ideal for a one-semester course, the book compares and contrasts early criminal behavior and today’s modern forms of crime. It also explores society’s responses to criminal behavior in the past and in the present day. It covers both major and lesser-known crime causation theories and their impact on society. Topics covered include: The importance of understanding crime data The goals of punishment The history of criminology, including the influence of social Darwinism on early trait theorists Crime causation theories, including a comparison of mainstream and critical theories The relationship between crime and biology, including the influence of genetics, substance use, and mental illness The social structural approach to crime, including a consideration of the changing contexts of urban criminality The nature and function of the justice system at the local, state, and federal levels, and basic categories of crimes Drug trafficking crimes, drug court efforts, and perceived weaknesses in current antidrug effortsEach chapter begins with a set of objectives and concludes with a summary. Interactive questions promote classroom discussion and practicum sections facilitate contextual learning. Drawn from different and distinct backgrounds, the authors each have unique perspectives on crime, making for a particularly well-rounded text that explores crime from several angles. The book attempts to educate readers in the development of new insights on crime and crime causation and provides a greater understanding of the steps that need to be taken before a significant reduction in crime can occur.
R 11,179.50
Walk Through Combinatorics, A: An Introduction To Enumeration And Graph Theory (Fourth Edition)
This is a textbook for an introductory combinatorics course lasting one or two semesters. An extensive list of problems, ranging from routine exercises to research questions, is included. In each section, there are also exercises that contain material not explicitly discussed in the preceding text, so as to provide instructors with extra choices if they want to shift the emphasis of their course.Just as with the first three editions, the new edition walks the reader through the classic parts of combinatorial enumeration and graph theory, while also discussing some recent progress in the area: on the one hand, providing material that will help students learn the basic techniques, and on the other hand, showing that some questions at the forefront of research are comprehensible and accessible to the talented and hardworking undergraduate. The basic topics discussed are: the twelvefold way, cycles in permutations, the formula of inclusion and exclusion, the notion of graphs and trees, matchings, Eulerian and Hamiltonian cycles, and planar graphs.New to this edition are the Quick Check exercises at the end of each section. In all, the new edition contains about 240 new exercises. Extra examples were added to some sections where readers asked for them.The selected advanced topics are: Ramsey theory, pattern avoidance, the probabilistic method, partially ordered sets, the theory of designs, enumeration under group action, generating functions of labeled and unlabeled structures and algorithms and complexity.The book encourages students to learn more combinatorics, provides them with a not only useful but also enjoyable and engaging reading.The Solution Manual is available upon request for all instructors who adopt this book as a course text. Please send your request to sales@wspc.com.The previous edition of this textbook has been adopted at various schools including UCLA, MIT, University of Michigan, and Swarthmore College. It was also translated into Korean.
R 4,094.06
Introduction to Metric Spaces
This book serves as a textbook for an introductory course in metric spaces for undergraduate or graduate students. The goal is to present the basics of metric spaces in a natural and intuitive way and encourage students to think geometrically while actively participating in the learning of this subject. In this book, the authors illustrated the strategy of the proofs of various theorems that motivate readers to complete them on their own. Bits of pertinent history are infused in the text, including brief biographies of some of the central players in the development of metric spaces. The textbook is divided into seven chapters that contain the main materials on metric spaces; namely, introductory concepts, completeness, compactness, connectedness, continuous functions and metric fixed point theorems with applications.Some of the noteworthy features of this book include· Diagrammatic illustrations that encourage readers to think geometrically· Focus on systematic strategy to generate ideas for the proofs of theorems· A wealth of remarks, observations along with a variety of exercises· Historical notes and brief biographies appearing throughout the text
R 7,581.59
Introduction to Data Structures and Algorithms
Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel
R 1,663.18
Walk Through Combinatorics, A: An Introduction To Enumeration And Graph Theory
This is a textbook for an introductory combinatorics course that can take up one or two semesters. An extensive list of exercises, ranging in difficulty from “routine” to “worthy of independent publication”, is included. In each section, there are also exercises that contain material not explicitly discussed in the text before, so as to provide instructors with extra choices if they want to shift the emphasis of their course.It goes without saying that the text covers the classic areas, i.e. combinatorial choice problems and graph theory. What is unusual, for an undergraduate textbook, is that the author has included a number of more elaborate concepts, such as Ramsey theory, the probabilistic method and — probably the first of its kind — pattern avoidance. While the reader can only skim the surface of these areas, the author believes that they are interesting enough to catch the attention of some students. As the goal of the book is to encourage students to learn more combinatorics, every effort has been made to provide them with a not only useful, but also enjoyable and engaging reading.
R 3,224.00
Introduction to the Nature and Functions of Language
A comprehensive guide to the nature of language and an introduction to linguistic analysis. This is a brand new edition of "An Introduction to the Nature and Functions of Language", the bestselling English Language textbook. With comprehensive coverage of the nature of language and linguistic analysis, this book is perfect for those studying language for the first time. Topics covered include discourse analysis, language acquisition, language change, and the history of English, together with examinations of different modes of discourse as well as the components of language itself. The book features chapter summaries, study questions, and case studies alongside suggestions for project work and extended study. The understanding of the topics is aided by a glossary of terms and a bibliography. There is also a Companion Website with student and lecturer resources. Originally published in 1996, and now fully revised, this core text has been used by thousands of students studying English Language.It is an accessible and engaging guide to the basics of language and linguistics for students on A and AS-level courses as well as being perfect those on their first year at undergraduate level on Language or Linguistics courses.
R 1,529.00
R 305.00
Introduction to Analysis of Variance
Having trouble finding a book that shows you not only how to analyze data but also how to collect the data appropriately and fully interpret the analysis, too? Here′s a new book that does all this in a particularly readable fashion. Turner and Thayer′s text: Shows how to design an experiment in the best possible way to investigate the topic of interestExplains which associated analysis will best answer your research questionDemonstrates how to conduct the analysis and then fully interpret the results in the context of your research question Organized so that the reader moves from the simplest type of design to more complex ones, the authors introduce five different kinds of ANOVA techniques and explain which design/analysis is appropriate to answer specific questions. They show how to perform each analysis using only a calculator to provide the reader with a better "feel" for the analyses than simply seeing the mathematical answers on a computer print-out. The book concludes with tips for tests on ANOVA, and descriptions of how to use the knowledge gained from the text to determine the credibility of claims made and "statistics" presented in various types of reports.
R 3,122.49
Introduction To Interfaces And Colloids, An: The Bridge To Nanoscience
The textbook seeks to bring readers with no prior knowledge or experience in interfacial phenomena, colloid science or nanoscience to the point where they can comfortably enter the current scientific and technical literature in the area.Designed as a pedagogical tool, this book recognizes the cross-disciplinary nature of the subject. To facilitate learning, the topics are developed from the beginning with ample cross-referencing. The understanding of concepts is enhanced by clear descriptions of experiments and provisions of figures and illustrations.
R 3,434.60
Introduction to Random Signals, Estimation Theory, and Kalman Filtering
This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.
R 4,030.00
Unlocking Luhmann – A Keyword Introduction to Systems Theory
Luhmann's theory is fascinating and complex. It offers incomparably enlightening insights, references and research opportunities, but reveals its utility only after a quite high competence threshold. Using the reticular form of the glossary, this book makes the theory accessible while maintaining its complexity. Without being obstructed by knowledge gaps or by references to concepts presented elsewhere, readers inside and outside sociology get the required support to explore sociological systems theory and to engage with it. Luhmann himself, in his introduction, praises the form of the glossary to cope with the challenges of the theoretical description of our highly complex society.
R 1,472.00
Introduction to Epidemiology
Epidemiology is integral to public health. This book introduces the principles, methods and application of epidemiology for improving health and survival. It is designed for self-directed learning by students and all who work in public health and health-related areas, including health economists, health policy analysts, and health services managers. Using this book will help you to practice the application of basic epidemiological methods to measure health outcomes, identify risk factors for a negative outcome, and evaluate health interventions and health services. The book helps to distinguish between strong and poor epidemiological evidence, an ability that is fundamental to promoting evidence-based health care.This 3rd edition has been revised to include:• A new section on the historical development of epidemiology• New infographics and figures to help visualise concepts • Contemporary health issues explored through examples and exercises • More activities for self-testing• A new final integrating chapter with real-life examples, such as the Zika outbreak, linking research to implementationIntroduction to Epidemiology 3rd edition is an essential resource on a fascinating area that is crucial to an understanding of public health.Series Editors: Rosalind Plowman and Nicki Thorogood.
R 1,508.00
Introduction to Error Analysis, third edition
This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes’ theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability – if students construct their own spreadsheets and avoid the temptation to use built-in functions – to teach the meaning of these concepts.
R 2,325.00
Brief Introduction to Numerical Analysis
This is an advanced textbook based on lectures given at the Moscow Physico-Technical Institute. The lectures are characterized by brevity, logical organization, and occasionally a lighthearted approach. It aims to involve the reader by asking questions, hinting, giving recommendations, comparing different methods, and discussing "optomistic" and "pessemistic" approaches to numerical analysis. Since matrix analysis underlies numerical analysis, this text emphasizes methods and algorithms of matrix analysis. Function approximations, methods of solving nonlinear equations, and minimization methods are also considered. As well as considering classical methods, new methods and approaches are discussed - such as spectral distribution theory and what it offers for design and proof of modern preconditioning strategies for large-scale linear algebra problems.
R 2,728.19
Introduction to Text Mining
This is the ideal introduction for students seeking to collect and analyze textual data from online sources. It covers the most critical issues that they must take into consideration at all stages of their research projects.
R 3,266.83
R 813.00
Introduction to Data Structures and Algorithms
Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel
R 1,673.12
Introduction to Senior Transportation
Introduction to Senior Transportation focuses on an issue that is a growing concern—the community mobility needs of older adults. Surpassing the coverage available in existing gerontology textbooks, it enables the reader to understand and appreciate the challenges faced by older adults as they make the transition from driving to using transportation options (many of which were not designed to meet their particular needs). It considers the physical and cognitive limitations of older adult passengers, the family of transportation services, the challenges providers face in meeting the assistance and support needs of senior passengers, and the transportation methods that do and do not currently meet the needs and wants of senior passengers. This textbook addresses the educational and professional development needs of faculty, students, and practitioners working in the fields of aging, aging services, and transportation. The book has been class-tested and features innovative, practical learning tools that appeal to students and practitioners. It complements any introductory course in gerontology, human development and aging, or human factors, and will enhance the curriculum of programs in the social behavioral sciences as well as traffic safety, transit engineering, and community planning.
R 9,937.76
Introduction to Existentialism
This textbook introduces you to existentialist philosophical theory and its cultural influence. The first part of the book offers an introductory overview of the 19th century historical roots of existentialist thought and chapters on all the key players: Kierkegaard, Nietzsche, Heidegger, Sartre, de Beauvoir, and Camus. The second part presents a thematic approach, with chapters on Christian and Jewish existentialism, existentialism in America, existential psychology and existentialism in the cinema. Ideal for undergraduate and classroom use, this engaging and accessible textbook includes pedagogical features, such as study questions, chapter summaries, key definitions and further reading.
R 3,825.00
Introduction to British Politics
This is the long-awaited third edition of Dearlove and Saunders' highly acclaimed, best-selling, textbook on British politics. The book has been completely rewritten, reorganized and updated, while retaining the distinctive style and approach of the earlier editions. At root, this book is about political power - how it is organized formally within the State and how it is exercised and influenced informally from outside. Written in lively and provocative prose, the volume presents the most systematic and penetrating analysis of who really runs Britain, to what end, and to whose advantage. Fully up to date, this new edition provides comprehensive coverage of the issues of the day - constitutional change, welfare reform, New Labour's Third Way, the European common currency, globalization, and much more. The volume also provides students with a highly readable and engaging guide to the key theoretical perspectives that have shaped the study of British politics. This outstanding volume will prove invaluable reading for all students of British politics, whether they are studying for A-level or undergraduate university courses. Please visit the accompanying website at: http://www.polity.co.uk/britpol
R 2,556.00
Introduction to International and Global Studies
Shawn C. Smallman and Kimberley Brown's popular introductory textbook for undergraduates in international and global studies is now released in a substantially revised and updated third edition. Encompassing the latest scholarship in what has become a markedly interdisciplinary endeavor and an increasingly chosen undergraduate major, the book introduces key concepts, themes, and issues and then examines each in lively chapters on essential topics, including the history of globalization; economic, political, and cultural globalization; security, energy, and development; health; agriculture and food; and the environment. Within these topics the authors explore such diverse and pressing subjects as commodity chains, labor (including present-day slavery), pandemics, human rights, and multinational corporations and the connections among them. This textbook, used successfully in both traditional and online courses, provides the newest and most crucial information needed for understanding our rapidly changing world.New to this edition:Close to 50% new materialNew illustrations, maps, and tablesNew and expanded emphases on political and economic globalization and populism; health; climate change, and developmentExtensively revised exercises and activitiesNew resume-writing exercise in careers chapterThoroughly revised online teacher's manual
R 1,741.00
