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Introduction to Undergraduate Research in Computational and Mathematical Biology
Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.Some of the topics discussed include: • Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons• Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments• Network structure and the dynamics of biological systems• Using neural networks to identify bird species from birdsong samples• Modeling fluid flow induced by the motion of pulmonary ciliaAimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty.
R 2,015.00
Introduction to Nonparametric Item Response Theory
"This manuscript addresses an important and complex topic in test development in a manner that is precise and accurate, yet very accessible to students and practitioners with a modest background in classical test theory and item response theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional reading lists that are found at the conclusion of each chapter." —LINDA F. WIGHTMAN, School of Education, University of N. Carolina, Greensboro "I thoroughly enjoyed this book, and liked the clear way the authors have worked through the chapters and examples. There are rich examples with plenty of exercises that encouraged me to try these methods with my own data. The quality of the interpretation is rich, particularly in the polytomous item domain. It is well worth having on the shelf as a reference tool and as available for graduate students who wish to know more." —JOHN HATTIE, Head of the School of Education, University of Auckland, NZ This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means. Many data analysis examples are given in the book, and a user-friendly computer program used throughout the book supports data analysis using nonparametric IRT. Given the importance of school admissions, certification, personnel selection, marketing, social policy evaluation, quality-of-life measurements, and assessments of deviant behavior, this book is a must read for students or researchers engaged in this work.
R 4,958.36
Idea of a Social Science and Its Relation to Philosophy
In the fiftieth anniversary of this book’s first release, Winch’s argument remains as crucial as ever. Originally published in 1958, The Idea of a Social Science and Its Relation to Philosophy was a landmark exploration of the social sciences, written at a time when that field was still young and had not yet joined the Humanities and the Natural Sciences as the third great domain of the Academy. A passionate defender of the importance of philosophy to a full understanding of 'society' against those who would deem it an irrelevant 'ivory towers' pursuit, Winch draws from the works of such thinkers as Ludwig Wittgenstein, J.S. Mill and Max Weber to make his case. In so doing he addresses the possibility and practice of a comprehensive 'science of society'.
R 1,159.70
Introduction To Statistical Mechanics: Solutions To Problems
Statistical mechanics is concerned with defining the thermodynamic properties of a macroscopic sample in terms of the properties of the microscopic systems of which it is composed. The previous book Introduction to Statistical Mechanics provided a clear, logical, and self-contained treatment of equilibrium statistical mechanics starting from Boltzmann's two statistical assumptions, and presented a wide variety of applications to diverse physical assemblies. An appendix provided an introduction to non-equilibrium statistical mechanics through the Boltzmann equation and its extensions. The coverage in that book was enhanced and extended through the inclusion of many accessible problems. The current book provides solutions to those problems. These texts assume only introductory courses in classical and quantum mechanics, as well as familiarity with multi-variable calculus and the essentials of complex analysis. Some knowledge of thermodynamics is also assumed, although the analysis starts with an appropriate review of that topic. The targeted audience is first-year graduate students and advanced undergraduates, in physics, chemistry, and the related physical sciences. The goal of these texts is to help the reader obtain a clear working knowledge of the very useful and powerful methods of equilibrium statistical mechanics and to enhance the understanding and appreciation of the more advanced texts.
R 943.81
Introduction to Public Health and Epidemiology
"The contents are not specifically nursing orientated but very neatly balanced to be of relevance to all working in the public health arena…the book is well written, the language is clear, and the concepts clearly and simply explained and easily understood" Journal of Biosocial ScienceWhat are epidemiology and public health?What is the nature of public health evidence and knowledge?What strategies can be used to protect and improve health? The second edition of this bestselling book provides a multi-professional introduction to the key concepts in public health and epidemiology. It presents a broad, interactive account of contemporary public health, placing an emphasis on developing public health skills and stimulating the reader to think through the issues for themselves.The new edition features additional material on: Historical perspectivesPublic health skills for practiceEvaluation of public health interventions The nature of evidence and public health knowledge Translating policy and evidence into practice An Introduction to Public Health and Epidemiology is key reading for students of public health and healthcare professionals, including: nurses, doctors, community development workers and public health workers.
R 1,356.00
Introduction to Probabilistic Number Theory
Despite its seemingly deterministic nature, the study of whole numbers, especially prime numbers, has many interactions with probability theory, the theory of random processes and events. This surprising connection was first discovered around 1920, but in recent years the links have become much deeper and better understood. Aimed at beginning graduate students, this textbook is the first to explain some of the most modern parts of the story. Such topics include the Chebychev bias, universality of the Riemann zeta function, exponential sums and the bewitching shapes known as Kloosterman paths. Emphasis is given throughout to probabilistic ideas in the arguments, not just the final statements, and the focus is on key examples over technicalities. The book develops probabilistic number theory from scratch, with short appendices summarizing the most important background results from number theory, analysis and probability, making it a readable and incisive introduction to this beautiful area of mathematics.
R 2,139.74
Introduction to the Philosophy of Educational Research
This book provides an accessible introduction to the philosophy of educational research. A historical-philosophical journey presents the development of research methods from their origins to the present day. In addition, the book reflects on how research methods have influenced scientific effectiveness. Throughout, the book covers the principal things that need to be known today about the theory and practice of educational research, its epistemological bases, and its development as a discipline within scientific knowledge. The historical events that defined both the methodological evolution and the current situation of contemporary educational research are described to enable its understanding. This book provides an accessible introduction to the philosophy of educational research. A historical-philosophical journey presents the development of research methods from their origins to the present day.. It can also be used as didactic material for classroom discussions on educational research, educational philosophy, and current controversies in education. Its usefulness reaches the social sciences, humanities, and experimental sciences in all areas related to teaching and training. The basis of educational research is exposed, both in its concepts or philosophical visions and methodologies, which ultimately define what education means today. Topics discussed in the book include: * Basics of Educational Research; * Mixed, Quantitative and Qualitative Models; * Ethics in Scientific Research; * Current Problems in Education; * Historical Evolution of Educational Research; Main contents: Theory and Practice of Educational Research; The Problems of Public Education; Philosophy-Based Research; The Debate between Quantitative and Qualitative Paradigms: Alternative Visions of How to Research Education; The Emergence of Mixed Methods in Educational Research; Science-Based Research and Evidence-Based Decision-Making; Scientific Research and Education; From Research Applied to Practice to Research Embedded in Practice; Educational Research in an Era of Ethics in Scientific Research; The Use of Standardized Tests to Measure; Research-Evaluation of Learning.
R 5,622.84
Introduction to Language and Society
In this third edition of the bestselling classic textbook, Martin Montgomery explores the key connections between language and social life. Guiding the student through discussions on child language, accent and dialect, social class and gender, as well as a number of other topics, Montgomery provides a comprehensive and accessible introduction to the function of language in modern society.This third edition includes: new sections on dialect levelling and estuary English; hip-hop and rapping as anti-language and ‘crossing’ between Creole, Panjabi and South Asian English new material on the Gulf War and the 'War on Terror'discussions on language in internet usage and new technologiesupdated examples and references.With detailed suggestions for further reading and practical work for each chapter, An Introduction to Language and Society is the ideal resource for students and teachers of Communication Studies and Language Studies.
R 2,411.45
Solutions Manual for "Introduction to Modern Economic Growth"
This is an essential companion to Daron Acemoglu's landmark textbook, Introduction to Modern Economic Growth . Designed for students, this manual contains solutions to selected exercises located throughout Acemoglu's text, helping students to maximize and reinforce their understanding of the material. Students will find this book invaluable for coursework and self-study.
R 1,515.52
Introduction to People Analytics
How can HR practitioners with little or no experience of analytics feel confident in their ability to find, analyse and use workforce data to make better business decisions? This book has the answers.An understanding of people analytics is a crucial skill for all HR professionals. This new edition provides expert guidance on the key aspects of analytics, enabling all HR professionals to feel confident in their ability to handle employee and organizational data. It features new material on applying data to respond to external disruption such as COVID-19 as well as how to develop a people analytics journey. There is also advice on recruiting people analytics specialists and embedding new data-driven operating models within HR.This book is essential reading for all HR professionals to develop understanding of how and where HR analytics can make a tangible difference to organizations. With updated case studies and thought leadership examples from companies including NHS, AstraZeneca and Swarovski, this book demonstrates how people analytics can be leveraged to improve culture and employee engagement, increase performance and reduce costs.
R 1,882.10
R 4,871.00
Introduction to Linear Programming and Game Theory
Praise for the Second Edition: "This is quite a well-done book: very tightly organized, better-than-average exposition, and numerous examples, illustrations, and applications." —Mathematical Reviews of the American Mathematical Society An Introduction to Linear Programming and Game Theory, Third Edition presents a rigorous, yet accessible, introduction to the theoretical concepts and computational techniques of linear programming and game theory. Now with more extensive modeling exercises and detailed integer programming examples, this book uniquely illustrates how mathematics can be used in real-world applications in the social, life, and managerial sciences, providing readers with the opportunity to develop and apply their analytical abilities when solving realistic problems. This Third Edition addresses various new topics and improvements in the field of mathematical programming, and it also presents two software programs, LP Assistant and the Solver add-in for Microsoft Office Excel, for solving linear programming problems. LP Assistant, developed by coauthor Gerard Keough, allows readers to perform the basic steps of the algorithms provided in the book and is freely available via the book's related Web site. The use of the sensitivity analysis report and integer programming algorithm from the Solver add-in for Microsoft Office Excel is introduced so readers can solve the book's linear and integer programming problems. A detailed appendix contains instructions for the use of both applications. Additional features of the Third Edition include: A discussion of sensitivity analysis for the two-variable problem, along with new examples demonstrating integer programming, non-linear programming, and make vs. buy models Revised proofs and a discussion on the relevance and solution of the dual problem A section on developing an example in Data Envelopment Analysis An outline of the proof of John Nash's theorem on the existence of equilibrium strategy pairs for non-cooperative, non-zero-sum games Providing a complete mathematical development of all presented concepts and examples, Introduction to Linear Programming and Game Theory, Third Edition is an ideal text for linear programming and mathematical modeling courses at the upper-undergraduate and graduate levels. It also serves as a valuable reference for professionals who use game theory in business, economics, and management science.
R 4,883.00
Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA Complete reference for applied statisticians and data analysts that uniquely covers the new statistical methodologies that enable deeper data analysis An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA provides readers with powerful new statistical methodologies that enable deeper data analysis. The book offers applied statisticians an introduction to the latest topics in nonparametrics. The worked examples with supporting R code provide analysts the tools they need to apply these methods to their own problems. Co-authored by an internationally recognised expert in the field and an early career researcher with broad skills including data analysis and R programming, the book discusses key topics such as: NP ANOVA methodologyCochran-Mantel-Haenszel (CMH) methodology and designLatin squares and balanced incomplete block designsParametric ANOVA F tests for continuous dataNonparametric rank tests (the Kruskal-Wallis and Friedman tests)CMH MS tests for the nonparametric analysis of categorical response data Applied statisticians and data analysts, as well as students and professors in data analysis, can use this book to gain a complete understanding of the modern statistical methodologies that are allowing for deeper data analysis.
R 5,048.00
Introduction to Modern Time Series Analysis
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
R 2,772.61
R 675.00
Introduction to Statistical Physics
This book fills the need for an intermediate undergraduate textbook on statistical physics. The subject is introduced from a phenomenalogical stance and presented in terms of thermodynamics, stressing the power and practicality of this approach. The atomic view is then discussed and formal stistical mechanics is brought in. Finally the reader is brought back to phenomenology, in the treatment of noise and random processes. Examples are drawn from topics of strong current interest, such as quantum optics, superconductivity and Bose-Einstein condensation. The book contains a large number of examples and a solutions manual and teachers guide will accompany the text.
R 3,920.00
Introduction to Human-Animal Interaction
Introduction to Human-Animal Interaction focuses on the human dimension of interacting with other animals. This book introduces recent developments, theories, and debates in the relatively new research area of Human-Animal Interaction (HAI) and focuses on the social and life sciences aspect of these interactions. Experts from different academic disciplines provide an overview for students and professionals interested in how humans and other animals interact, and what advantages and disadvantages emerge for both parties in this relationship.The book starts with the theories and mechanisms supporting our interactions with animals, such as human-animal communication, and it then covers the implications of HAI in terms of ethics and welfare. After discussing cultural differences and forensic aspects in human-animal interaction (e.g., wildlife crime and animal abuse), the book examines evidence in the area of animal-assisted intervention. The final chapters give an overview of current research in specific human-animal interaction systems: human-pet, human-livestock and human-wildlife interaction. The book offers a scientific, evidence-based perspective on human-animal interaction, providing pedagogical tools to make a systematic, critical and constructive evaluation of research in HAI possible. It offers a range of in-text pedagogical features like a subject index, chapter MCQs, open questions, further reading, and additional digital resources including videos which are accessible via QR codes or through the associated website. This textbook provides the fundamental tools for achieving a comprehensive, current, and critical overview of the HAI field and is an integral text for undergraduate and postgraduate students undertaking modules in human-animal interaction, in social sciences such as anthropology, cultural studies, criminology, ethics and laws or in life sciences such as animal behaviour, conservation and welfare, biology, neuroscience, physiology, psychology, public health and those studying veterinary science.
R 1,694.28
Student Solutions Manual to Accompany Introduction to Time Series Analysis and Forecasting
An accessible introduction to the most current thinking in and practicality of forecasting techniques in the context of time-oriented data Analyzing time-oriented data and forecasting are among the most important problems that analysts face across many fields, ranging from finance and economics to production operations and the natural sciences. As a result, there is a widespread need for large groups of people in a variety of fields to understand the basic concepts of time series analysis and forecasting. Introduction to Time Series Analysis and Forecasting presents the time series analysis branch of applied statistics as the underlying methodology for developing practical forecasts, and it also bridges the gap between theory and practice by equipping readers with the tools needed to analyze time-oriented data and construct useful, short- to medium-term, statistically based forecasts. Seven easy-to-follow chapters provide intuitive explanations and in-depth coverage of key forecasting topics, including: Regression-based methods, heuristic smoothing methods, and general time series models Basic statistical tools used in analyzing time series data Metrics for evaluating forecast errors and methods for evaluating and tracking forecasting performanceover time Cross-section and time series regression data, least squares and maximum likelihood model fitting, model adequacy checking, prediction intervals, and weighted and generalized least squares Exponential smoothing techniques for time series with polynomial components and seasonal data Forecasting and prediction interval construction with a discussion on transfer function models as well as intervention modeling and analysis Multivariate time series problems, ARCH and GARCH models, and combinations of forecasts The ARIMA model approach with a discussion on how to identify and fit these models for non-seasonal and seasonal time series The intricate role of computer software in successful time series analysis is acknowledged with the use of Minitab, JMP, and SAS software applications, which illustrate how the methods are imple-mented in practice. An extensive FTP site is available for readers to obtain data sets, Microsoft Office PowerPoint slides, and selected answers to problems in the book. Requiring only a basic working knowledge of statistics and complete with exercises at the end of each chapter as well as examples from a wide array of fields, Introduction to Time Series Analysis and Forecasting is an ideal text for forecasting and time series coursesat the advanced undergraduate and beginning graduate levels. The book also serves as an indispensablereference for practitioners in business, economics, engineering, statistics, mathematics, and the social, environmental, and life sciences.
R 1,411.00
Introduction to Econometric Theory
Intended primarily to prepare first-year graduate students for their ongoing work in econometrics, economic theory, and finance, this innovative book presents the fundamental concepts of theoretical econometrics, from measure-theoretic probability to statistics. A. Ronald Gallant covers these topics at an introductory level and develops the ideas to the point where they can be applied. He thereby provides the reader not only with a basic grasp of the key empirical tools but with sound intuition as well. In addition to covering the basic tools of empirical work in economics and finance, Gallant devotes particular attention to motivating ideas and presenting them as the solution to practical problems. For example, he presents correlation, regression, and conditional expectation as a means of obtaining the best approximation of one random variable by some function of another. He considers linear, polynomial, and unrestricted functions, and leads the reader to the notion of conditioning on a sigma-algebra as a means for finding the unrestricted solution. The reader thus gains an understanding of the relationships among linear, polynomial, and unrestricted solutions.Proofs of results are presented when the proof itself aids understanding or when the proof technique has practical value. A major text-treatise by one of the leading scholars in this field, An Introduction to Econometric Theory will prove valuable not only to graduate students but also to all economists, statisticians, and finance professionals interested in the ideas and implications of theoretical econometrics.
R 4,729.83
Introduction to Environmental Economics
Clearly written, global in approach, and theoretically broad-minded, this text is an ideal introduction to environmental economics. Assuming no prior knowledge of economics, the international author team introduces fundamental economic concepts as they relate to our environment. They then use the fundamental concepts to explore and assess current and potential policy responses to some of the major environmental issues of our time. Examples are drawn from all over the world and include such vital issues as climate change, natural resource use, waste management, water pollution, and loss of biodiversity. The text is also accompanied by the following online resources:For students:Links to news stories and organizationsExercises For lecturers:PowerPoint slidesSolutions to exercisesGraphs from the bookList of Discussion Questions
R 3,502.00
Introduction to Human Communication
An Introduction to Human Communication: Communicate, Connect, Collaborate helps students understand the roles and skills essential to communicating effectively in today's environment.Providing a fresh approach to both contemporary and traditional communication topics, this text is divided into three parts: Foundations of Communication; Interpersonal and Small Group Communication; and Public Speaking. The authors use a model of communication that integrates networked digital media, addresses cultural differences and diversity, incorporates examples from popular culture and current events, and offers sound pedagogy based on their extensive teaching and research experience.The lines between interpersonal, small group, organizational, public, and mass communication have blurred as people routinely share their thoughts and ideas with others via social networking platforms, blogs, messaging apps, texts, and emails. These ways of connecting have altered how individuals think about communication, enact relationships, and inform and persuade each other. In recognizing communicators as active message producers rather than passive message consumers, this text empowers students to successfully negotiate their agency and identity across communication contexts.This is the ideal textbook for introduction to human communication courses, helping students gain the fundamental knowledge and tools necessary for our increasingly complex world.
R 5,349.00
Introduction to Nonparametric Item Response Theory
"This manuscript addresses an important and complex topic in test development in a manner that is precise and accurate, yet very accessible to students and practitioners with a modest background in classical test theory and item response theory. It also provides an excellent introduction to nonparametric IRT models for the more mathematically sophisticated student or faculty member who will welcome the extensive additional reading lists that are found at the conclusion of each chapter." —LINDA F. WIGHTMAN, School of Education, University of N. Carolina, Greensboro "I thoroughly enjoyed this book, and liked the clear way the authors have worked through the chapters and examples. There are rich examples with plenty of exercises that encouraged me to try these methods with my own data. The quality of the interpretation is rich, particularly in the polytomous item domain. It is well worth having on the shelf as a reference tool and as available for graduate students who wish to know more." —JOHN HATTIE, Head of the School of Education, University of Auckland, NZ This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits, attitudes, or opinions will find nonparametric IRT useful for designing and improving such measurements. The authors show how the broadness of the nonparametric item response models allows them to fit many data sets and remain powerful enough for implying useful measurement properties, such as the ordering of persons using the simple total score (number-correct for dichotomous item tests and sum of rating scale score for polytomous item tests) and the ordering of the items using the item means. Many data analysis examples are given in the book, and a user-friendly computer program used throughout the book supports data analysis using nonparametric IRT. Given the importance of school admissions, certification, personnel selection, marketing, social policy evaluation, quality-of-life measurements, and assessments of deviant behavior, this book is a must read for students or researchers engaged in this work.
R 3,120.15
Introduction to Comparative Ethnic Studies
This book guides instructors and students through an intersectional and comparative approach to understanding key theories, concepts, practices, and movements in Ethnic Studies.Written for introductory courses and for those new to Ethnic Studies, the book explores the decolonial legacies and origins of Ethnic Studies before delving into a broad array of vital and vivid topics including music and performance, U.S. militarism and migration, racial capitalism, gender and sexuality, environmental activism, and liberation through education, amongst others. Each chapter introduces the decolonial process of Love, Knowledge, and Revolution rooted in the theoretical and activist lineages of Ethnic Studies as an academic discipline.Key features include:A focus on providing a range of diverse perspectives to help students develop critical self-awareness that nurtures a love for self and communityA comparative approach that interweaves exemplary historical figures and preeminent scholars to empower students to view themselves within a continuum of an ongoing struggle for freedomTextboxes across the volume that highlight case studies and provide historical context to enhance student understandingDiscussion questions in each chapter aid engagement with the ideas presented and develop the reader’s critical thinking skillsA glossary of key termsThis book will be essential reading for students and teachers of courses in Ethnic Studies, and those interested in learning about the complex processes of race making and power through the lens of multiracial lived experiences in the United States.
R 8,572.00
Introduction to Copulas
The study of copulas and their role in statistics is a new but vigorously growing field. In this book the student or practitioner of statistics and probability will find discussions of the fundamental properties of copulas and some of their primary applications. The applications include the study of dependence and measures of association, and the construction of families of bivariate distributions. This book is suitable as a text or for self-study.
R 4,921.04
R 2,386.77
Introduction to Data
This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.
R 7,232.38
Introduction to the Analysis of Variance
This book is for students taking either a first-year graduate statistics course or an advanced undergraduate statistics course in Psychology. Enough introductory statistics is briefly reviewed to bring everyone up to speed. The book is highly user-friendly without sacrificing rigor, not only in anticipating students' questions, but also in paying attention to the introduction of new methods and notation. In addition, many topics given only casual or superficial treatment are elaborated here, such as: the nature of interaction and its interpretation, in terms of theory and response scale transformations; generalized forms of analysis of covariance; extensive coverage of multiple comparison methods; coverage of nonorthogonal designs; and discussion of functional measurement. The text is structured for reading in multiple passes of increasing depth; for the student who desires deeper understanding, there are optional sections; for the student who is or becomes proficient in matrix algebra, there are still deeper optional sections. The book is also equipped with an excellent set of class-tested exercises and answers.
R 2,943.00
Introduction to Variance Estimation
Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference for the survey researcher who is faced with the problem of estimating variances for real survey data.
R 6,027.90
Qualitative Theory Of Odes: An Introduction To Dynamical Systems Theory
The Qualitative Theory of Ordinary Differential Equations (ODEs) occupies a rather special position both in Applied and Theoretical Mathematics. On the one hand, it is a continuation of the standard course on ODEs. On the other hand, it is an introduction to Dynamical Systems, one of the main mathematical disciplines in recent decades. Moreover, it turns out to be very useful for graduates when they encounter differential equations in their work; usually those equations are very complicated and cannot be solved by standard methods.The main idea of the qualitative analysis of differential equations is to be able to say something about the behavior of solutions of the equations, without solving them explicitly. Therefore, in the first place such properties like the stability of solutions stand out. It is the stability with respect to changes in the initial conditions of the problem. Note that, even with the numerical approach to differential equations, all calculations are subject to a certain inevitable error. Therefore, it is desirable that the asymptotic behavior of the solutions is insensitive to perturbations of the initial state.Each chapter contains a series of problems (with varying degrees of difficulty) and a self-respecting student should solve them. This book is based on Raul Murillo's translation of Henryk Żołądek's lecture notes, which were in Polish and edited in the portal Matematyka Stosowana (Applied Mathematics) in the University of Warsaw.
R 3,591.73
Introduction to Medical Software
Providing a concise and accessible overview of the design, implementation and management of medical software, this textbook will equip students with a solid understanding of critical considerations for both standalone medical software (software as a medical device/SaMD) and software that is integrated into hardware devices. It includes: practical discussion of key regulatory documents and industry standards, and how these translate into concrete considerations for medical software design; detailed coverage of the medical software lifecycle process ; accessible introduction to quality and risk management systems in the context of medical software; succinct coverage of essential topics in data science, machine learning, statistics, cybersecurity, software engineering and healthcare bring readers up-to-speed; six cautionary real-world case studies illustrate the dangers of improper or careless software processes. Accompanied by online resources for instructors, this is the ideal introduction for undergraduate students in biomedical engineering, electrical engineering and computer science, junior software engineers, and digital health entrepreneurs.
R 2,958.22
Introduction to Robotics, Global Edition
For senior-yearundergraduate and first-year graduate courses in robotics. An intuitiveintroduction to robotic theory and application Since its originalpublication in 1986, Craig’s Introduction to Robotics: Mechanics andControl has been the leading textbook for teaching robotics at theuniversity level. Blending traditional mechanical engineering material withcomputer science and control theoretical concepts, the text covers a range oftopics, including rigid-body transformations, forward and inverse positionalkinematics, velocities and Jacobians of linkages, dynamics, linear andnon-linear control, force control methodologies, mechanical design aspects, androbotic programming. The 4th Edition featuresa balance of application and theory, introducing the science and engineering ofmechanical manipulation—establishing and building on foundational understandingof mechanics, control theory, and computer science. With an emphasis on the computationalaspects of problems, the text aims to present material in a simple, intuitive manner.
R 2,129.00
Introduction to Agroecology
This textbook applies basic concepts of ecology to address critical issues regarding food and agricultural systems. The intended audience is first year undergraduate students; it may also benefit higher-level undergraduates with an interest in agriculture and ecology. The level of science and general knowledge reflects this target group. The text is divided into five sections with 22 chapters in all. Each chapter has its own student learning objectives. The first two sections, “Context of Agroecology” and “Basics of Agroecosystems,” provide a sound basis for the further study of agriculture from an ecological standpoint. Section 3, “Digging Deeper into Agroecosystems,” explores the related issues of hunger, wastes, climate change, and biodiversity. It is suggested that students study these three sections before proceeding to section 4 or 5. Section 4, “Application of Agroecosystem Concepts,” introduces students to agricultural production and challenges them to use the concepts and ideas from the first three sections to critically evaluate such production systems. Section 5, “Agroecosystem Management,” brings the coverage full circle by examining global solutions and opportunities from both a scientific and social economic standpoint. Particularly these last four chapters offer both food for thought and inspiration for further work. The book’s goal is not to provide a comprehensive literature review; rather, it offers extensive data on and a stimulating analysis of the topic.
R 3,922.77
Introduction to Stochastic Networks
Beginning with Jackson networks and ending with spatial queuing systems, this book describes several basic stochastic network processes, with the focus on network processes that have tractable expressions for the equilibrium probability distribution of the numbers of units at the stations. Intended for graduate students and researchers in engineering, science and mathematics interested in the basics of stochastic networks that have been developed over the last twenty years, the text assumes a graduate course in stochastic processes without measure theory, emphasising multi-dimensional Markov processes. Alongside self-contained material on point processes involving real analysis, the book also contains complete introductions to reversible Markov processes, Palm probabilities for stationary systems, Little laws for queuing systems and space-time Poisson processes.
R 3,040.24
R 1,406.49
Introduction to Nonlinear Circuits and Networks
This course-based text revisits classic concepts in nonlinear circuit theory from a very much introductory point of view: the presentation is completely self-contained and does not assume any prior knowledge of circuit theory. It is simply assumed that readers have taken a first-year undergraduate course in differential and integral calculus, along with an elementary physics course in classical mechanics and electrodynamics. Further, it discusses topics not typically found in standard textbooks, such as nonlinear operational amplifier circuits, nonlinear chaotic circuits and memristor networks. Each chapter includes a set of illustrative and worked examples, along with end-of-chapter exercises and lab exercises using the QUCS open-source circuit simulator. Solutions and other material are provided on the YouTube channel created for this book by the authors.
R 3,590.43
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 2,564.00
Introduction to Artificial Intelligence
In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.
R 2,560.24
Introduction to Item Response Theory Models and Applications
This is a highly accessible, comprehensive introduction to item response theory (IRT) models and their use in various aspects of assessment/testing. The book employs a mixture of graphics and simulated data sets to ease the reader into the material and covers the basics required to obtain a solid grounding in IRT.Written in an easily accessible way that assumes little mathematical knowledge, Carlson presents detailed descriptions of several commonly used IRT models, including those for items scored on a two-point (dichotomous) scale such as correct/incorrect, and those scored on multiple-point (polytomous) scales, such as degrees of correctness. One chapter describes a model in-depth and is followed by a chapter of instructions and illustrations showing how to apply the models to the reader’s own work.This book is an essential text for instructors and higher level undergraduate and postgraduate students of statistics, psychometrics, and measurement theory across the behavioral and social sciences, as well as testing professionals.
R 3,815.77
Undergraduate Introduction To Financial Mathematics, An (Fourth Edition)
Anyone with an interest in learning about the mathematical modeling of prices of financial derivatives such as bonds, futures, and options can start with this book, whereby the only mathematical prerequisite is multivariable calculus. The necessary theory of interest, statistical, stochastic, and differential equations are developed in their respective chapters, with the goal of making this introductory text as self-contained as possible.In this edition, the chapters on hedging portfolios and extensions of the Black-Scholes model have been expanded. The chapter on optimizing portfolios has been completely re-written to focus on the development of the Capital Asset Pricing Model. The binomial model due to Cox-Ross-Rubinstein has been enlarged into a standalone chapter illustrating the wide-ranging utility of the binomial model for numerically estimating option prices. There is a completely new chapter on the pricing of exotic options. The appendix now features linear algebra with sufficient background material to support a more rigorous development of the Arbitrage Theorem.The new edition has more than doubled the number of exercises compared to the previous edition and now contains over 700 exercises. Thus, students completing the book will gain a deeper understanding of the development of modern financial mathematics.
R 3,261.77
Introduction To Computational Mathematics
This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical algorithms and scientific computing. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. It covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithms, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, to nonlinear curve-fitting and swarm optimization. Especially suitable for undergraduates and graduates in computational mathematics, numerical algorithms, and scientific computing, it can be used as a textbook and/or reference book.
R 3,349.65
