Introduction to Programming Concepts With Case Studies in Python

Thistitle is a Pearson Global Edition. The editorial team at Pearson has workedclosely with educators around the world to include content which is especiallyrelevant to an international and diverse audience.For courses in computerprogramming.A user-friendly,code-intensive introduction to C programming with case studies introducing applicationsand system programming.C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels How to Program series,the books modular presentation serves as a detailed, beginner source ofinformation for college students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives students a chance to run each program as they study it and see howtheir learning applies to real-world programming scenari

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specif

International edition of Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets 7th Edition. Hillier is especially known for his classic, award-winning text, Introduction to Operations Research, co-authored with the late Gerald J. Lieberman, which has been translated into well over a dozen languages and is currently in its 8th edition. The 6th edition won honorable mention for the 1995 Lanchester Prize (best English-language publication of any kind in the field) and Dr. Hillier also was awarded the 2004 INFORMS Expository Writing Award for the 8th edition. His other books include The Evaluation of Risky Interrelated Investments, Queueing Tables and Graphs, Introduction to Stochastic Models in Operations Research, and Introduction to Mathematical Programming. He received his BS in industrial engineering and doctorate specializing in operations research and management science from Stanford University. The winner of many awards in high school and colleg

Augment your knowledge of Python with this entertaining learning guide, which features 100 exercises and programming puzzles and solutions. Python Challenges will help prepare you for your next exam or a job interview, and covers numerous practical topics such as strings, data structures, recursion, arrays, and more.Each topic is addressed in its own separate chapter, starting with an introduction to the basics and followed by 10 to 15 exercises of various degrees of difficulty, helping you to improve your programming skills effectively. Detailed sample solutions, including the algorithms used for all tasks, are included to maximize your understanding of each area. Author Michael Inden also describes alternative solutions and analyzes possible pitfalls and typical errors.Three appendices round out the book: the first covers the Python command line interpreter, which is often helpful for trying out the code snippets and examples in the book, followed by an overview of Pytest for unit te

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of

Hallmark FeaturesIntroduces the fundamental constructs of contemporary programming languages•Critical evaluation of existing and future programming languages gives students the necessary tools for evaluating on their own.•An in-depth discussion of programming language structures, presenting a formal method of describing syntax, and introducing approaches to lexical and syntax analysis prepare students for the study of compiler design.•Coverage of advanced object-oriented topics and languages is integrated throughout.Addresses the most up-to-date information in this field•New - New material on Swift, a contemporary programming language, is now part of several chapters.•New - Section on Delphi now included in Chapter 2.•New - Section on optional types is included in Chapter 6.•New and Updated - Content describing iterations in Python are part of Chapter 8.•Revised - To ensure the material remains relevant to students, sections on outdated languages (specifically Lua and Objective-C) have

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

Learn the fundamental principles of developing structured program logic and be prepared for success with Joyce Farrell�s PROGRAMMING LOGIC AND DESIGN, 10th EDITION. This edition takes a comprehensive and language-independent approach to programming logic with an emphasis on modern conventions. It avoids technical jargon while introducing universal programming concepts and ensuring strong programming style and logical thinking. Chapters contain figures that illustrate the logic described in the text, and there are diverse and project-rich opportunities for you to creatively apply logic to program designs. Flowcharts and pseudocode are employed to appeal to varied learning styles and preferences. Chapters contain learning objectives, notes and short quizzes, summaries, key terms and multiple-choice review. Plus, there are multiple exercises in developing programming logic, maintaining existing programs, debugging programs that contain errors, and developing simple games.

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. Through concepts, examples, and more than 300 practice exercises that exploit the interpreter, students learn not only what programming-language features are but also how to do things with them. Substantial implementation projects include Milner's type inference, both copying and mark-an

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

The second edition of a rigorous and example-driven introduction to topics in economic dynamics that emphasizes techniques for modeling dynamic systems.This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modeling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real-world problems. The material makes extensive use of programming examples to illustrate ideas, bringing to life the abstract concepts in the text. Key topics include algorithms and scientific computing, simulation, Markov models, and dynamic programming. Part I introduces fundamentals and part II covers more advanced material. This second edition has been thoroughly updated, drawing on recent research in the field.New for the second edition:“Programming-language agnostic” presentation using pseudocode.New chapter 1 covering

This book describes how computer programs can generate narratives and how studies of computational narrative can illuminate how humans tell stories. Combining an introduction to relevant concepts related to automatic storytelling with accessible descriptions of well-known computer programs that illustrate how such concepts are employed, the book is aimed at an interdisciplinary audience and assumes little or no background in computer science. The book introduces the most relevant techniques employed over the last 60 years for the development of computer models for narrative generation, including narrative templates, problem-solving, planning, author engagement and reflection, and statistical methods such as deep neural networks, ending with an examination of the societal implications of the development of automatic narrative generator systems.

Talaro’s Foundations in Microbiology: Basic Principles is an allied health microbiology text with a taxonomic approach to the disease chapters. It offers an engaging and accessible writing style through the use of case studies and analogies to thoroughly explain difficult microbiology concepts.

The new edition of a widely used introduction to game theory and its applications, with a focus on economics, business, and politics.This widely used introduction to game theory is rigorous but accessible, unique in its balance between the theoretical and the practical, with examples and applications following almost every theory-driven chapter. In recent years, game theory has become an important methodological tool for all fields of social sciences, biology and computer science. This second edition of Strategies and Games not only takes into account new game theoretical concepts and applications such as bargaining and matching, it also provides an array of chapters on game theory applied to the political arena. New examples, case studies, and applications relevant to a wide range of behavioral disciplines are now included. The authors map out alternate pathways through the book for instructors in economics, business, and political science. The book contains four parts: strategic form

An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for gra

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

A comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Features:Rigorous and tested in the classroomWritten for engineering and computer science undergraduates with a soph

The age of the internet and media have brought about a growing interest in Asian culture and its various languages across the region. Due to the unique structures, the Han characters are being utilized as flexible design elements that bring abstract visual concepts to life in breaking the barriers between the East and the West. As a follow-up to the original release in 2015, Hanzi-Kanji-Hanja 2 comprises logotypes and their applications to offer readers a closer insight into the art of the strokes; as well as a showcase of brand identities and expanded further with case studies and interviews to serve as an inspiring reference point for designers of all cultures.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

●NEW "LEARN IT" ACTIVITIES SEPARATE KEY CONCEPTS AND TOPICS INTO SMALLER, MANAGEABLE SECTIONS OF LEARNING. Students tackle important chapter concepts one section at a time. After each small section, readers test their comprehension with a set of questions. These "Learn It" questions build a foundation for the understanding of chapter concepts in a gradual, scaffolded manner.●UPDATED CHAPTER ASSIGNMENTS TEST UNDERSTANDING AND APPLICATION OF KEY CONCEPTS. Case Activities guide students in applying key concepts from the chapter to solve marketing problems at a real companies. Students also learn to work with new information and consider different applications of concepts -- something marketers encounter every day in business. Case study activities strengthen application and critical-thinking skills as students learn in-context, deepening understanding of chapter topics and concepts while building marketing acumen.●NEW "WHY DOES THIS TOPIC MATTER TO ME?" ENGAGEMENT ACTIVITIES EMPHASIZE THE

The Seventeenth Edition of Purchasing and Supply Management provides a comprehensive introduction to the purchasing and supply chain management field, supported by over 45 case studies. Cases cover purchasing and supply chain issues in a variety of settings, from process industries to high tech manufacturing and services as well as public institutions.The text focuses on decision making throughout the supply chain. Based on the conviction that supply managers, in concert with suppliers and distributors, have to contribute to organizational goals and strategies, this edition continues to focus on how to make that mission a reality.

Concepts seem to work best when created in that interspace between theory and praxis, between philosophy, art, and science. Deleuze himself has generated many concepts in this encounter between philosophy and non-philosophy (art, literature, film, botany, etc): his ideas of affects and percepts, of becoming, the stutter, movement-image and time-image, the rhizome, to name but a few.In the case of this volume, the "other" is the "other" to English language/culture (and its philosophy): what happens, if instead of "other disciplines," we take other cultures, other languages, other philosophies? Does not the focus on English as a hegemonic language of academic discourse deny us a plethora of possibilities, of possible Denkfiguren , of possible concepts? This collection is a kind of travelogue. The journey does not follow a particular trajectory―some countries are not on the map; some are visited twice. So, there is no claim to completeness involved here―it is rather an invitation to ans

An Introduction to Global Media for the Twenty-First Century provides a thorough introduction to the field of global media today. The book presents the key changes taking place as the global media landscape evolves, and the main theories of the field, that explain these developments.Tracing, first, the formative development of an international and global media landscape throughout the 20th century from the telegraph, television and film export, and transnational television to the Internet, the book then focuses on developments in the 21st century. This includes: the digitization of the global media and communications sector; the popularization of the Internet and digital infrastructure such as the smartphone and platforms; the emergence of global online media and services; the production and distribution of digital media content; and the exploitation of user data. Case studies illustrate key developments throughout the book.The book shows how the field is characterized by a continuity

An Introduction to Global Media for the Twenty-First Century provides a thorough introduction to the field of global media today. The book presents the key changes taking place as the global media landscape evolves, and the main theories of the field, that explain these developments.Tracing, first, the formative development of an international and global media landscape throughout the 20th century from the telegraph, television and film export, and transnational television to the Internet, the book then focuses on developments in the 21st century. This includes: the digitization of the global media and communications sector; the popularization of the Internet and digital infrastructure such as the smartphone and platforms; the emergence of global online media and services; the production and distribution of digital media content; and the exploitation of user data. Case studies illustrate key developments throughout the book.The book shows how the field is characterized by a continuity

Andrew M. Mbuvi makes the case for African biblical studies as a vibrant and important emerging distinct discipline, while also using its postcolonial optic to critique biblical studies for its continued underlying racially and imperialistically motivated tendencies. Mbuvi argues that the emergence of biblical studies as a discipline in the West coincides with, and benefits from, the establishment of the colonial project that included African colonization. At the heart of the colonial project was the Bible, not only as ferried by missionaries, who often espoused racialized views, to convert “heathens in the distant lands,” but as the text used in the racialized justification of the colonial violence. Interpretive approaches established within these racist and colonialist matrices continue to dominate the discipline, perpetuating racialized interpretive methodology and frameworks.On these grounds, Mbuvi makes the case that the continued marginalization of non-western approaches is a ref

Classrooms are dynamic spaces of teaching and learning, where language and culture are intertwined in remarkable ways. The theory of language socialization explores how sociocultural practices in classrooms help to shape language learning and development. This collection is the first of its kind to bring together research on this fascinating concept. It presents ten case studies, based on linguistic and ethnographic research conducted in classrooms located within communities in North America, Europe and India, spanning learners from preschool, to primary and secondary school, to university. Following an introduction that discusses the theory and core concepts of language socialization, the volume is divided into three central themes: socializing values, dispositions, and stances; socializing identities; and language socialization and ideology. Both new and more experienced researchers will appreciate its new insights into how language socialization is carried out across the globe.

Marks' Basic Medical Biochemistry: A Clinical Approach, 6th Edition links biochemistry to physiology and pathophysiology, empowering students to confidently apply fundamental concepts to the practice of medicine -- from diagnosing patients to recommending effective treatments. This proven, application-centered approach builds biochemical coverage around related clinical concepts to anchor students' understanding to a clinical context from day one. Intuitively organized chapters center on hypothetical patient vignettes to emphasize clinical applications, and helpful icons, images, and review questions make complex concepts easier to grasp.New Genetics chapter instills a foundational understanding of this essential topic without the need for a separate resource.More than 700-chapter review questions -- including over 200 new questions -- with answers and explanations prepare students for success on USMLE exams and others.The Waiting Room clinical case studies at the beginning of each cha

Anew title in The QuestKids children's series thatwas launched by In Easy Steps in 2018, designed to make learning fun forchildren.Coding with Python- Create Amazing Graphics introducescoding in Python through a variety of projects. Each one teaches new codingconcepts and results in some amazing graphics.Discover how to mix colours, make patterns, draw 2D and 3Dshapes.Learn how to use loops, variables, random numbers, andfunctions in Python. Packed with challenges, tips, and extensions to keep allbudding coders engaged and eager to keep learning and creating!To create the games in this book, children will need a desktopcomputer or a laptop. The games require a proper keyboard so will not work wellon a tablet or iPad. It is recommended that children should be supervised whenusing the internet, especially when using a new website. Thisis the UK English edition.

This book seeks to narrow two gaps: first, between the widespread use of case studies and their frequently 'loose' methodological moorings; and second, between the scholarly community advancing methodological frontiers in case study research and the users of case studies in development policy and practice. It draws on the contributors' collective experience at this nexus, but the underlying issues are more broadly relevant to case study researchers and practitioners in all fields. How does one prepare a rigorous case study? When can causal inferences reasonably be drawn from a single case? When and how can policy-makers reasonably presume that a demonstrably successful intervention in one context might generate similarly impressive outcomes elsewhere, or if massively 'scaled up'? No matter their different starting points – disciplinary base, epistemological orientation, sectoral specialization, or practical concerns – readers will find issues of significance for their own field, and ot

This book seeks to narrow two gaps: first, between the widespread use of case studies and their frequently 'loose' methodological moorings; and second, between the scholarly community advancing methodological frontiers in case study research and the users of case studies in development policy and practice. It draws on the contributors' collective experience at this nexus, but the underlying issues are more broadly relevant to case study researchers and practitioners in all fields. How does one prepare a rigorous case study? When can causal inferences reasonably be drawn from a single case? When and how can policy-makers reasonably presume that a demonstrably successful intervention in one context might generate similarly impressive outcomes elsewhere, or if massively 'scaled up'? No matter their different starting points – disciplinary base, epistemological orientation, sectoral specialization, or practical concerns – readers will find issues of significance for their own field, and ot

Attitudes towards spoken, signed, and written language are of significant interest to researchers in sociolinguistics, applied linguistics, communication studies, and social psychology. This is the first interdisciplinary guide to traditional and cutting-edge methods for the investigation of language attitudes. Written by experts in the field, it provides an introduction to attitude theory, helps readers choose an appropriate method, and guides through research planning and design, data collection, and analysis. The chapters include step-by-step instructions to illustrate and facilitate the use of the different methods as well as case studies from a wide range of linguistic contexts. The book also goes beyond individual methods, offering guidance on how to research attitudes in multilingual communities and in signing communities, based on historical data, with the help of priming, and by means of mixed-methods approaches.

Marketing: An Introduction shows you how creating and capturing customer value drives effective marketing strategies. The text reflects major trends and shifting forces that impact marketing in this digital age of customer value, engagement and relationships. This in turn gives you a richer understanding of basic marketing concepts, strategies and practices.The 15th Edition features updated and deeply developed chapter-opening vignettes, Marketing at Work highlights, company cases and end-of-chapter exercises. With these, you'll get ample practice applying marketing concepts to real-world company scenarios.

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 introduct

A complete overview of quantum mechanics, covering essential concepts and results, theoretical foundations, and applications and techniques. This undergraduate textbook offers a comprehensive overview of quantum mechanics, beginning with essential concepts and results, proceeding through the theoretical foundations that provide the field’s conceptual framework, and concluding with the tools and applications students will need for advanced studies and for research. Drawn from lectures created for MIT physics majors and for the popular MITx online course, “Mastering Quantum Mechanics,” the text presents the material in a modern and approachable manner while still including the traditional topics necessary for a well-rounded understanding of the subject. As the book progresses, the treatment gradually increases in difficulty, paralleling students’ increasingly sophisticated understanding of the material Part 1, on essentials, offers a sound introduction to the subject, touching on such to

Introduction to Reliability Engineering A complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective Introduction to Reliability Engineering provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications. Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more. Extensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that no