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Designed specifically for class use, this text guides students through developing their own full, working constructed language. It introduces basic concepts and the decisions students need to make about their conlang's speakers and world, before walking them through the process of conlanging in incremental stages, from selecting a language's sounds to choices about its grammar. It includes hundreds of examples from natural and constructed languages, and over seventy end-of-chapter exercises that allow students to apply concepts to an in-progress conlang and guide them in developing their own conlang. Ideal for undergraduates, the text is also suitable for more advanced students through the inclusion of clearly highlighted sections containing advanced material and optional conlang challenges. Instructor resources include an interactive slideshow for selecting stress patterns, an exercise answer guide and a sample syllabus, and student resources include a 'select-a-feature' conlang adventure, a spreadsheet of conlang features, and supplementary documentation for the exercises.
Presenting a concise overview of astrophysical concepts, the second edition of this textbook bridges the gap between introductory astronomy books and advanced astrophysics texts. Designed for one-semester astrophysics courses, the textbook is aimed at science and engineering students with college-level calculus-based physics. The new edition features both revisions and additions, with the extension of topics such as luminosity distance and the inclusion of notable developments such as the James Webb and Roman Space Telescopes. As before, the chapters are organized into five parts, covering: stellar properties; stellar structure and evolution; the interstellar medium and star/planet formation; our Milky Way and other galaxies; and cosmology. The exposition guides students toward a comprehensive fundamental understanding, using 'Quick Questions' to spur practice in basic computations, and multi-part exercises that offer a greater challenge. The solutions to the questions are freely accessible online, with exercise solutions and lecture slides available for instructors.
Students have an almost insurmountable task in understanding statistics in the psychological sciences and applying them to a research study. This textbook tackles this source of stress by guiding students through the research process, start to finish, from writing a proposal and performing the study, to analysing the results and creating a report and presentation. This truly practical textbook explains psychology research methods in a conversational style, with additional material of interest placed in focus boxes alongside, so that students don't lose their way through the steps. Every step is detailed visually with processes paralleled in both SPSS and R, allowing instructors and students to learn both statistical packages or to bridge from one to the other. Students perform hands-on statistical exercises using real data, and both qualitative and mixed-methods research are covered. They learn effective ways to present information visually, and about free tools to collect and analyse data.
This focused textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications, providing students with a deep and insightful understanding of this emerging field. It introduces students to a broad array of ML tools for effective wireless system design, and supports them in exploring ways in which future wireless networks can be designed to enable more effective deployment of federated and distributed learning techniques to enable AI systems. Requiring no previous knowledge of ML, this accessible introduction includes over 20 worked examples demonstrating the use of theoretical principles to address real-world challenges, and over 100 end-of-chapter exercises to cement student understanding, including hands-on computational exercises using Python. Accompanied by code supplements and solutions for instructors, this is the ideal textbook for a single-semester senior undergraduate or graduate course for students in electrical engineering, and an invaluable reference for academic researchers and professional engineers in wireless communications.
Important concepts from the diverse fields of physics, mathematics, engineering and computer science coalesce in this foundational text on the cutting-edge field of quantum information. Designed for undergraduate and graduate students with any STEM background, and written by a highly experienced author team, this textbook draws on quantum mechanics, number theory, computer science technologies, and more, to delve deeply into learning about qubits, the building blocks of quantum information, and how they are used in quantum computing and quantum algorithms. The pedagogical structure of the chapters features exercises after each section as well as focus boxes, giving students the benefit of additional background and applications without losing sight of the big picture. Recommended further reading and answers to select exercises further support learning. Written in approachable and conversational prose, this text offers a comprehensive treatment of the exciting field of quantum information while remaining accessible to students and researchers within all STEM disciplines.
The fully revised fifth edition of this highly acclaimed undergraduate textbook provides a thought-provoking introduction to evolutionary psychology, while assuming no prior knowledge of evolutionary theory. The authors continue to carefully guide students towards a level of understanding where they can critically apply evolutionary theory to psychological explanation, providing an engaging and balanced discussion of the field. New material has been added on female homosexuality, artificial intelligence and language, cooking and human brain expansion, Covid-19 and rates of evolutionary change, and the effects of digital media on mental health. This edition also has new and revised boxed case studies, many new figures, extra discussion questions, and additional further reading suggestions. The text is accompanied by online resources including an updated test bank and lecture slides, as well as new answers to the end-of-chapter questions. This is essential reading for students taking undergraduate and graduate courses in evolutionary psychology.
Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level implementation. Over 85 thorough worked examples, in both Matlab and Python, demonstrate how algorithms are implemented and applied whilst illustrating the end result. Over 75 end-of-chapter problems empower students to develop their own code to implement these algorithms, equipping them with hands-on experience. Matlab coding examples demonstrate how a mathematical idea is converted from equations to code, and provide a jumping off point for students, supported by in-depth coverage of essential mathematics including multivariable calculus, linear algebra, probability and statistics, numerical methods, and optimization. Accompanied online by instructor lecture slides, downloadable Python code and additional appendices, this is an excellent introduction to machine learning for senior undergraduate and graduate students in Engineering and Computer Science.
Confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data science. Master the fundamentals with step-by-step introductions to core topics will equip you with a solid foundation for applying data science techniques to real-world complex financial problems. Extract meaningful insights as you learn how to use data to lead informed, data-driven decisions, with over 50 examples and case studies and hands-on Matlab and Python code. Explore cutting-edge techniques and tools in machine learning for financial data analysis, including deep learning and natural language processing. Accessible to readers without a specialized background in finance or machine learning, and including coverage of data representation and visualization, data models and estimation, principal component analysis, clustering methods, optimization tools, mean/variance portfolio optimization and financial networks, this is the ideal introduction for financial services professionals, and graduate students in finance and data science.
This textbook reflects the changing landscape of water management by combining the fields of satellite remote sensing and water management. Divided into three major sections, it begins by discussing the information that satellite remote sensing can provide about water, and then moves on to examine how it can address real-world management challenges, focusing on precipitation, surface water, irrigation management, reservoir monitoring, and water temperature tracking. The final part analyses governance and social issues that have recently been given more attention as the world reckons with social justice and equity aspects of engineering solutions. This book uses case studies from around the globe to demonstrate how satellite remote sensing can improve traditional water practices and includes end-of-chapter exercises to facilitate student learning. It is intended for advanced undergraduate and graduate students in water resource management, and as reference textbook for researchers and professionals.
Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, calculus and optimization, and probability and statistics, demonstrating their relevance in the context of data analysis. Key application topics include clustering, regression, classification, dimensionality reduction, network analysis, and neural networks. What sets this text apart is its focus on hands-on learning. Each chapter combines mathematical insights with practical examples, using Python to implement algorithms and solve problems. Self-assessment quizzes, warm-up exercises and theoretical problems foster both mathematical understanding and computational skills. Designed for advanced undergraduate students and beginning graduate students, this textbook serves as both an invitation to data science for mathematics majors and as a deeper excursion into mathematics for data science students.
Master the art of data converter design with this definitive textbook, a detailed and accessible introduction ideal for students and practicing engineers. Razavi's distinctive and intuitive pedagogical approach, building up from elementary components to complex systems. Step-by-step transistor-level designs and simulations offer a practical hands-on understanding of key design concepts. Comprehensive coverage of essential topics including sampling circuits, comparator design, digital-to-analog converters, flash topologies, SAR and pipelined architectures, time-interleaved converters, and oversampling systems. Over 250 examples pose thought-provoking questions, reinforcing core concepts and helping students develop confidence. Over 350 end-of-chapter homework problems to test student understanding, with solutions available for course instructors. Developed by leading author Behzad Razavi, and addressing all the principles and design concepts essential to today's engineers, this is the ideal text for senior undergraduate and graduate-level students and professional engineers who aspire to excel in data converter analysis and design.
Labour Law, now in its third edition, is a well established text which offers a comprehensive and critical account of the subject by a team of prominent labour lawyers. It examines both collective labour relations and individual employment rights, including equality law, and does so while having full regard to the international labour standards as well as the implications of Brexit. Case studies and reports from government and other public agencies illuminate the text to show how the law works in practice, ensuring that students acquire not only a sophisticated knowledge of the law but also an appreciation of its purpose and the complexity of the issues which it addresses.
Teaching fundamental design concepts and the challenges of emerging technology, this textbook prepares students for a career designing the computer systems of the future. Self-contained yet concise, the material can be taught in a single semester, making it perfect for use in senior undergraduate and graduate computer architecture courses. This edition has a more streamlined structure, with the reliability and other technology background sections now included in the appendix. New material includes a chapter on GPUs, providing a comprehensive overview of their microarchitectures; sections focusing on new memory technologies and memory interfaces, which are key to unlocking the potential of parallel computing systems; deeper coverage of memory hierarchies including DRAM architectures, compression in memory hierarchies and an up-to-date coverage of prefetching. Practical examples demonstrate concrete applications of definitions, while the simple models and codes used throughout ensure the material is accessible to a broad range of computer engineering/science students.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
Social work practitioners must be prepared to respond to emerging social problems in a rapidly changing world. Engaging with Social Work provides an introduction to critical social work, helping students to cultivate their own understanding of the structures and discourses of oppression and disadvantage, while exploring the role of the social worker. The third edition contains updated content on emerging social issues, including the COVID-19 pandemic, the climate crisis, broken systems – such as aged care and child protection, increasing wealth inequality, threats to democracy and the decolonisation of social work. Chapters include margin definitions of key terms, reflective exercises and case studies. Perspectives on Practice are integrated throughout the text. Aboriginal and Torres Strait Islander perspectives are also included throughout, providing an understanding of their experiences. Written by experienced practitioners, Engaging with Social Work is an approachable resource for students, providing them with foundational knowledge in critical concepts and theories.
International security is an ambiguous concept – it has many meanings to many people. Without an idea of how the world works, or how security is defined and achieved, it is impossible to create effective policies to provide security. This textbook clarifies the concept of security, the debates around it, how it is defined, and how it is pursued. Tracking scholarly approaches within security studies against empirical developments in international affairs, historical and contemporary security issues are examined through various theoretical and conceptual models. Chapters cover a wide range of topics, including war and warfare, political violence and terrorism, cyber security, environmental security, energy security, economic security, and global public health. Students are supported by illustrative vignettes, bolded key terms and an end-of-book glossary, maps, box features, discussion questions, and further reading suggestions, and instructors have access to adaptable lecture slides.
English Phonetics and Phonology provides a detailed yet accessible foundational account of the science of speech sounds. Suitable for introductory courses, this textbook presents the key knowledge to comprehend the nature and function of consonant and vowel sounds as well as other characteristics of spoken language, such as stress, rhythm and intonation. With a focus on the sound system of English, examples from other languages are explored and included throughout, allowing students to better understand English sounds in contrast to these languages. Readers will discover what can be measured in speech and learn the basic functions of Praat. This hands-on-approach encourages students to make their own recordings and perform simple measurements to support their learning. While each of the fourteen chapters can be covered in one seminar, instructors can easily tailor them to fit 10–12 weeks of teaching in a phonetics or linguistics module. With no prior phonetic or linguistic knowledge needed, this textbook is suitable for first year undergraduate students, or anyone interested in developing a fundamental and sustained knowledge of the sound structure of the English language.
A logical and clear exposition of hierarchy and locality by a leading figure in the field, Continuing Syntax takes students from an introductory level of syntactic theory to an understanding of cutting-edge research in the field. A comprehensive range of topics is covered, including configurationality, head-movement, clause structure, nominal structure, subjacency, barriers and phases, ensuring that students have a thorough understanding of all the main components of contemporary theory. The many example sentences, extensive glossary, end-of-chapter exercises and annotated further reading lists allow readers to embed and extend their knowledge as they progress through the book. A self-contained work ideal for intermediate-level students, this volume also builds on the author's Beginning Syntax, and lays the foundation for a third volume, Comparing Syntax, which introduces formal syntactic typology.
With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathematics, computer science, and engineering. Authored by two influential researchers, the book covers both convex analysis basics and modern topics such as conic programming, conic representations of convex sets, and cone-constrained convex problems, providing readers with a solid, up-to-date understanding of the field. By excluding modeling and algorithms, the authors are able to discuss the theoretical aspects in greater depth. Over 170 in-depth exercises provide hands-on experience with the theory, while more than 30 'Facts' and their accompanying proofs enhance approachability. Instructors will appreciate the appendices that cover all necessary background and the instructors-only solutions manual provided online. By the end of the book, readers will be well equipped to engage with state-of-the-art developments in optimization and its applications in decision-making and engineering.
This textbook introduces the fundamentals of MATLAB for behavioral sciences in a concise and accessible way. Written for those with or without computer programming experience, it works progressively from fundamentals to applied topics, culminating in in-depth projects. Part I covers programming basics, ensuring a firm foundation of knowledge moving forward. Difficult topics, such as data structures and program flow, are then explained with examples from the behavioral sciences. Part II introduces projects for students to apply their learning directly to real-world problems in computational modelling, data analysis, and experiment design, with an exploration of Psychtoolbox. Accompanied by online code and datasets, extension materials, and additional projects, with test banks, lecture slides, and a manual for instructors, this textbook represents a complete toolbox for both students and instructors.