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DC Electrical Circuit Analysis: A Practical Approach
James Fiore · dissidents · 2020
Welcome to DC Electrical Circuit Analysis, an open educational resource (OER). The goal of this text is to introduce the theory and practical application of analysis of DC electrical circuits. It is offered free of charge under a Creative Commons non-commercial, share-alike with attribution license. For your convenience, along with the free pdf and odt files, print copies are available at a very modest charge. Check my web sites for links. This text is based on the earlier Workbook for DC Electrical Circuits, which it replaces. The original expository text has been greatly expanded and includes many examples along with computer simulations. For the convenience of those who used the Workbook, many of the problem sets are the same, with some re-ordering depending on the chapter.
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AC Electrical Circuit Analysis: A Practical Approach
James Fiore · dissidents · 2020
Welcome to the AC Electrical Circuit Analysis, an open educational resource (OER). The goal of this text is to introduce the theory and practical application of analysis of AC electrical circuits. It assumes familiarity with DC circuit analysis. If you have not studied DC circuit analysis, it is strongly recommended that you read the companion OER text, DC Electrical Circuit Analysis before continuing. Both texts are offered free of charge under a Creative Commons non-commercial, share-alike with attribution license. For your convenience, along with the free pdf and odt files, print copies are available at a very modest charge. Check my web sites for links. This text is based on the earlier Workbook for AC Electrical Circuits, which it replaces. The original expository text has been greatly expanded and includes many examples along with computer simulations. For the convenience of those who used the Workbook, many of the problem sets are the same, with some re-ordering depending on the chapter.
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Engineering Signal Analysis: From Fourier to filtering: Theory
Christian Tiberius; Max Mulder · TU Delft Open · 2026
Engineering Signal Analysis - Theory, is an introductory textbook on the analysis of signals in time and frequency. It takes an engineer’s perspective and discusses how to characterize, analyze and operate on signals. The basic theoretical concepts, Fourier series and transform, are explained in continuous time. It then introduces discrete-time signals, addressing how sampling and finite signal duration affect spectral analysis. It discusses the discrete Fourier transform and its use in spectral estimation. The book concludes with an introduction to linear systems and signal filtering.
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Basic Engineering Data Collection and Analysis
Steve Vardeman; J. Marcus Jobe · Iowa State University · 2001
In Basic Engineering Data Collection and Analysis, Stephen B. Vardeman and J. Marcus Jobe stress the practical over the theoretical. Step by step, students get real engineering data and scenario examples along with chapter-long case studies that illustrate concepts in realistic, thoroughly detailed situations. This approach encourages students to work through the material by carrying out data collection and analysis projects from problem formulation through the preparation of professional technical reports—just as if they were on the job.
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Analysis and Design of Elementary MOS Amplifier Stages
Boris Murmann · Boris Murmann · 2013
Analyzes core linear analog circuit designs: common-source, common-gate, and common-drain stages Design-oriented approach; analyzes various circuits through examples and exercises Part of the Modular Series of Microelectronic Device and Circuit Design Each module in the series provides a brief fundamental look at a specific topic "As of November 1, 2022, National Technology and Science Press ("NTS") has discontinued publication of 'Analysis and Design of Elementary MOS Amplifier Stages.' Accordingly, NTS has returned all copyrights and attendant rights with respect to the work to Boris Murmann."
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Exploring Perspectives: A Concise Guide to Analysis
Randall Fallows · Saylor Foundation · 2011
The reason why Randall Fallows wrote Exploring Perspectives: A Concise Guide to Analysis is simple: to help give students a better understanding of how to discover, develop, and revise an analytical essay. Here is how his 5 chapter book goes about doing just that: The first two chapters focus on the nature of an analysis and what's involved in writing an analytical essay. Randall shows that analysis consists of a balance of assertions (statements which present their viewpoints or launch an exploration of their concerns), examples (specific passages/scenes/events which inspire these views), explanations (statements that reveal how the examples support the assertions), and significance (statements which reveal the importance of their study to personal and/or cultural issues). After showing why each feature should be present throughout an essay, he reveals how to "set the stage" for producing one of their own. He first helps students to evaluate their own views on a subject and to examine how these views emerge from their own experiences, values and judgments. He, then, shows them how to research what others have said about the subject and provides suggestions for evaluating and incorporating this research into their own perspectives. Finally, Randall discusses the nature of writing, not as a linear procedure, but as a recursive process where the discovery and clarification of a concept occur simultaneously. The remaining three chapters reveal more specific advice on how to develop an analytical essay. Exploring Perspectives: A Concise Guide to Analysis by Randall Fallows is a great text to prepare any student to write analytical essays for the argument and persuasion courses.
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First Semester in Numerical Analysis with Python
Yaning Liu · Auraria Institutional Repository
The book is based on “First semester in Numerical Analysis with Julia”, written by Giray Ökten. The contents of the original book are retained, while all the algorithms are implemented in Python (Version 3.8.0). Python is an open source (under OSI), interpreted, general-purpose programming language that has a large number of users around the world. Python is ranked the third in August 2020 by the TIOBE programming community index, a measure of popularity of programming languages, and is the top-ranked interpreted language. We hope this book will better serve readers who are interested in a first course in Numerical Analysis, but are more familiar with Python for the implementation of the algorithms. The first chapter of the book has a self-contained tutorial for Python, including how to set up the computer environment. Anaconda, the open-source individual edition, is recommended for an easy installation of Python and effortless management of Python packages, and the Jupyter environment, a web-based interactive development environment for Python as well as many other programming languages, was used throughout the book and is recommended to the readers for easy code development, graph visualization and reproducibility.
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Introduction to the Modeling and Analysis of Complex Systems
Hiroki Sayama · Open SUNY · 2015
Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.
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Strategic Management and Case Analysis: An Integrated Approach
Lori Anderson; Dirk Buengel; Joseph Simpson · Virginia Tech Publishing · 2025
Strategic Management and Case Analysis: An Integrated Approach is intended for students in undergraduate business programs taking a course in strategic management. Because strategic management synthesizes many business topics and takes a holistic view of business, strategic management courses are often senior-level capstone courses. Most undergraduate business school students begin their business education with a broad introductory business course and then concentrate on courses in their major. Then they return to a broader lens of business to cap off their business education at a higher-level of learning. This textbook supports this level of comprehensive learning. If used with a senior-level capstone course, this textbook supports seniors to synthesize their business education through the lens of strategic management and helps them understand how businesses become successful by leveraging their competitive advantage. This textbook integrates strategic management and case analysis, with cases linked from an open access collection of business strategy cases, RMIT Strategic Management Case Studies. Students will get the most out of this textbook if it is used with cases that students analyze. Strategic Management and Case Analysis: An Integrated Approach, integrates strategic management as a research-led field of study and practice-informed area of business practice with an experiential learning approach to conducting a case analysis. The book explains how strategic leaders and managers analyze their firm’s organizational performance, and external and internal environments; formulate corporate level and business level strategy, and innovation, sustainability and ethics, technology, and multinational strategy, which are embedded in business level strategies; and implement strategy across an organization. Students are in an active and engaged role with the subject and practice of strategic management as they apply the theories, concepts, and analytical frameworks and t
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Introduction to Financial Analysis
Kenneth Bigel · Open Touro · 2022
This Open Textbook is a dynamic guide incorporating the essential skills needed to build a foundation in Financial Analysis. Students and readers will learn how to insightfully read a Financial Statement, utilize key financial ratios in order to derive forward-looking investment-related inferences from the accounting data, engage in elementary forecasting and modeling, master the theory of the Time Value of Money, and learn to price stocks and bonds in an environment in which interest rates constantly change. Ample problems and solutions, and review questions are provided to the student so that s/he can gauge his/her progress. This text will be continually updated in order to provide novel information and enhance students’ experiences.
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Equilibrium Displacement Models: Theory, Applications, & Policy Analysis
Gary Brester; Joseph Atwood; Michael Boland · University of Minnesota Libraries Publishing · 2023
Applied economists frequently use equilibrium displacement models (EDMs), also termed linear elasticity models, for policy analyses because they can be used to estimate changes in prices and quantities that result from exogenous economic or policy shocks. These models are also widely used to estimate changes in producer and consumer surplus caused by exogenous economic shocks and to quantify the short- and long-term impacts of a variety of economic and regulatory actions across multiple markets. For the first time, a textbook that contains all of the theory and applications of EDMs along with a set of spreadsheet files is available in one place.
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Policy Analysis of Multi-Actor System
Ben Enserink; Pieter Bots; Els van Daalen · TU Delft Open · 2022
Policy of Multi-Actor Systems is an introduction into the art of craft of problem exploration and problem structuring. It positions policy analysis as a scientific discipline focused on systems analysis in a multi-actor context to support better informed decision-making. The approach presented in this book is considered to be the cornerstone of the curricula of the Faculty of Technology, Policy and Management of Delft University of Technology and underlies the research on (the governance of) socio-technical systems. Systems thinking applied in a multi-actor environment and its inherent multi-disciplinary character is what makes this work stand out from traditional hard- and soft systems approaches. The core of the book is dedicated to systems analysis, actor- or stakeholder-analysis and discusses methods for dealing with uncertainty. These analytical activities combined lead to a rich problem description and to plans for further research. Due to the stepwise approach this book serves as a basis for any problem analysis both for our bachelor and master students, our alumni worldwide and any interested practitioners.
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College Success
Amy Baldwin; Lisa August; James Bennett · OpenStax · 2020
OpenStax College Success is a comprehensive and contemporary resource that serves First Year Experience, Student Success, and College Transition courses. Developed with the support of hundreds of faculty and coordinators, the book addresses the evolving challenges and opportunities of today’s diverse students. Engagement, self-analysis, personal responsibility, and student support are reflected throughout the material. College Success also includes an array of student surveys and opinion polls, and OpenStax will regularly provide the results to adopting faculty.
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The Delft Method for System Dynamics
Willem Auping; Floortje d’Hont; Merla Kubli; Jill Slinger · TU Delft Open · 2024
The Delft Method for System Dynamics (SD) is a proven method for learning basic SD. The method focuses on learning by doing: first you try to work through an exercise, and if you do not understand something, then you can look up the theory. The book contains exercises on topics such as causal loop diagrams, delays, and when SD is an appropriate methodology. It also contains modelling exercises that show students how to build low to medium complexity models, and how to use these models for policy analysis. The theory chapters cover all phases of the modelling cycle: problem articulation, conceptualisation, formulation, evaluation (including validation and scenario analysis), and policy analysis. This book is intended for students and teachers in large or small System Dynamics courses, and for motivated students that want to learn SD at their own pace.
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Transportation Land Use Modeling and Policy (TLUMP)
Qisheng Pan; Soheil Sharifi-Asl · Mavs Open Press · 2024
Transportation Land Use Modeling and Policy is an open educational resource (OER) that offers a thorough exploration of various approaches and frameworks for modeling the complex relationship between land use and transportation, with a focus on scenario-based analysis for issues such as equity, environmental impact, and other critical transportation policies. The textbook begins by providing an overview of the current urban transportation landscape, highlighting ongoing challenges like transportation equity. It then introduces foundational theories related to land use and transportation, setting the stage for an in-depth examination of different modeling approaches. Using case studies and real-world examples, primarily from North America, the book demonstrates how these models explain and predict the relationship between land use (residential, economic, industrial activities) and transportation (accessibility). After reviewing existing integrated land use and transportation models and discussing the future direction of integrated land use and transportation planning, the latter part of the book delves deeper into travel demand modeling (TDM) practices. It highlights traditional methods like the four-step model and provides a brief overview of newer techniques such as activity- based and agent-based models. This textbook is part of a six-volume series produced under the grant OERTransport: Enabling Transportation Planning Professional Advancement awarded to the University of Texas-Arlington (UTA) in consortium with California Polytechnic State University (Cal Poly) and the University of South Florida (USF). It was developed under an Open Textbooks Pilot grant from the Fund for the Improvement of Postsecondary Education (FIPSE), U.S. Department of Education. However, its contents do not necessarily represent the policy of the Department of Education, and no endorsement by the Federal Government should be assumed.
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Introduction to Statistics in the Psychological Sciences
Linda Cote; Rupa Gordon; Chrislyn Randell; Judy Schmitt · University of Missouri - St. Louis · 2021
Introduction to Statistics in the Psychological Sciences provides an accessible introduction to the fundamentals of statistics, and hypothesis testing as need for psychology students. The textbook introduces the fundamentals of statistics, an introduction to hypothesis testing, and t Tests. Related samples, independent samples, analysis of variance, correlations, linear regressions and chi-squares are all covered along with expanded appendices with z, t, F correlation, and a Chi-Square table. The text includes key terms and exercises with answers to odd-numbered exercises. Psychology students often find statistics courses to be different from their other psychology classes. There are some distinct differences, especially involving study strategies for class success. The first difference is learning a new vocabulary—it is similar to learning a new language. Knowing the meaning of certain words will help as you are reading the material and working through the problems. Secondly, practice is critical for success; reading over the material is not enough. Statistics is a subject learned by doing, so make sure you work through any homework questions, chapter questions, and practice problems available. Statistical knowledge gives you a set of skills employable in graduate school and the workplace. Data science is a burgeoning field, and there is practical significance in learning this material. The statistics presented in this book are some of the most common ones used in research articles, and we hope by the end of this OER you’ll feel comfortable reading (and not skipping!) the results section of an article. This work is broken into 14 chapters, covering the fundamentals of statistics, and hypothesis testing.
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Finding Balance: Collaborative Workflows for Risk Management in Sharing Cultural Heritage Collections Online
Carrie Hintz; Melanie Kowalski; Sarah Quigley; Jody Bailey · University of Kansas Libraries · 2023
Digitizing rare and unique historical documents so they can be shared online is mission-critical work for most cultural heritage institutions, but it can be difficult to complete this work, especially intellectual property rights management, at a scale that matches user demand. The authors of this open educational resource offer guidance for creating scalable, cross-functional workflows using a risk-management approach that increases efficiency and distributes responsibility for rights assessment work more equitably across stakeholders. It includes advice for navigating knowledge gaps, building an engaged team with the right skillsets, reimagining workflows, and rethinking traditional archival processing workflows to build capacity for rights analysis during arrangement and description. Each chapter includes a helpful exercise for implementing this guidance in your own institution.
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Introduction to Political Science Research Methods
Josh Franco; Charlotte Lee; Kau Vue · Academic Senate for California Community Colleges · 2020
Introduction to Political Science Research Methods, authored by Dr. Josh Franco, Dr. Charlotte Lee, Kau Vue, Dr. Dino Bozonelos, Dr. Masahiro Omae, and Dr. Steven Cauchon, is an Open Education Resource textbook licensed CC BY-NC that surveys the research methods employed in political science. The textbook includes chapters that cover: history and development of the empirical study of politics; the scientific method; theories, hypotheses, variables, and units; conceptualization, operationalization and measurement of political concepts; elements of research design including the logic of sampling; qualitative and quantitative research methods and means of analysis; and research ethics.
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Introduction to LGBTQ+ Studies: A Cross-Disciplinary Approach
Deborah Amory; Sean Massey; Jennifer Miller; Allison Brown · State University of New York Press · 2022
Designed for an introductory course, this textbook takes a cross-disciplinary approach to the study of LGBTQ+ issues that helps students grasp core concepts through a variety of different perspectives. Introduction to LGBTQ+ Studies offers accessible, academically sound information on a wide range of topics, including history, culture, and Queer Theory; an exploration of LGBTQ+ relationships, families, parenting, health, and education; and how to conduct research on LGBTQ+ topics. The book explores LGBTQ+ issues from the ancient world to contemporary global perspectives. Employing an intersectional analysis, the textbook highlights how sexuality and gender are simultaneously experienced and constructed through other structures of inequality and privilege, such as race and class. The text supports multiple learning styles by integrating visual elements, multimedia resources, discussion and project prompts, and resources for further research throughout the textbook.
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Research Methods for Criminal Justice Students
Monica Williams · Monica Williams · 2022
This book is based on two open-access textbooks: Bhattacherjee’s (2012) Social science research: Principles, methods, and practices and Blackstone’s (2012) Principles of sociological inquiry: Qualitative and quantitative methods. I first used Bhattacherjee’s book in a graduate-level criminal justice research methods course. I chose the book because it was an open educational resource that covered the major topics of my course. While I found the book adequate for my purposes, the business school perspective did not always fit with my criminal justice focus. I decided to rewrite the textbook for undergraduate and graduate students in my criminal justice research methods courses. As I researched other open- educational resources for teaching social science research methods, I found Blackstone’s book, which covered more of the social science and qualitative methods perspectives that I wanted to incorporate into my book. As a result, this open-access textbook includes some content from both previous works along with my own additions based on my extensive experience and expertise in conducting qualitative and quantitative research in social science settings and in mentoring students through the research process. My Ph.D. is in Sociology, and I currently teach undergraduates and graduate students in a criminal justice program at Weber State University. Throughout my career, I have conducted and published the results of research projects using a variety of methods, including surveys, case studies, in-depth interviews, participant observation, content analysis, and secondary analysis of quantitative data. I have also mentored undergraduates in conducting community-based research projects using many of these same methods with the addition of focus groups and program evaluations.