This introductory, algebra-based, two-semester college physics book is grounded with real-world examples, illustrations, and explanations to help students grasp key, fundamental physics concepts. This online, fully editable and customizable title includes learning objectives, concept questions, links to labs and simulations, and ample practice opportunities to solve traditional physics application problems.

Communication in the Real World: An Introduction to Communication Studies overviews the time-tested conceptual foundations of the field, while incorporating the latest research and cutting-edge applications of these basics. Each chapter will include timely, concrete, and real-life examples of communication concepts in action. A key feature of this book is the integration of content regarding diversity and organizational communication in each chapter through examples and/or discrete sub-sections. Discussions of diversity are not relegated to feature boxes. Also integrated into the content are examples that are inclusive in terms of race, gender, sexuality, ability, age, marital status, religion, and other diverse identity characteristics.

How can we effectively and efficiently teach data science to students with little to no background in computing and statistical thinking? How can we equip them with the skills and tools for reasoning with various types of data and leave them wanting to learn more? This introductory data science course is our (working) answer to this question.
The source code for everything you see here can be found on GitHub.

The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results. Time permitting, the course also introduces additional concepts and tools like interactive visualization and reporting, text analysis, and Bayesian inference. A heavy emphasis is placed on a consistent syntax (with tools from the tidyverse), reproducibility (with R Markdown), and version control and collaboration (with Git and GitHub). In addition, out-of-class learning is supplemented with interactive tutorials. The goal of the course is to bring students from zero to being able to work in a team on a fully reproducible data science project analysing a dataset of their choice and answering questions they care about.

Data Science in a Box contains the materials required to teach (or learn from) the course described above, all of which are freely-available and open-source. They include course materials such as slide decks, lecture and live coding videos, homework assignments, guided labs, sample exams, a final project assignment, as well as materials for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics.

Majority of the materials linked live in the GitHub repo serving this website.

Please note that Data Science in a Box uses a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

""Life is made up of a never-ending sequence of decisions. Many decisions – such as what to
watch on television or what to eat for breakfast – are rather unimportant. Other decisions –
such as what career to pursue, whether or not to invest all of one’s savings in the purchase
of a house – can have a major impact on one’s life. This book is concerned with Decision
Making, which the Oxford Dictionary defines as “the process of deciding about something
important”. We will not attempt to address the issue of what decisions are to be considered
“important”. After all, what one person might consider an unimportant decision may be
viewed by another individual as very important. What we are interested in is the process of
making decisions and what it means to be a “rational” decision maker""--Introductory paragraph.

Find 32 Youtube videos of lectures based on the Decision Making book through this link: http://faculty.econ.ucdavis.edu/faculty/bonanno/DM_Book.html.

Copyright information: You are free to redistribute this book in pdf format. If you make use of any part of this book you must give appropriate credit to the author. You may not remix, transform, or build upon the material without permission from the author. You may not use the material for commercial purposes.

If all cultures developed the ability to communicate, why do we see things so very differently? What purpose did communication serve in a culture? How did some cultures develop ways in which to share and negotiate meaning that my culture did not? Can I truly communicate with someone that doesn’t share my dominant culture? What does competent intercultural communication “look” like? In the quest to explore the multiple facets of intercultural communication, this book is divided into three general areas: foundations, elements, and contexts. The foundations cover the basic principles associated with communication studies and culture. The elements move beyond the basics into self, identities, verbal, and nonverbal process associated with communication and culture. Contexts explore all the different environments such as media, business, and education, in which intercultural communication occurs.

International Economics: Theory and Policy is built on Steve Suranovic’s belief that students need to learn the theory and models to understand how economics works and how economists understand the world. And, that these ideas are accessible to most students if they are explained thoroughly.

So, if you are looking for an International Economics text that will prepare your PhD students while promoting serious comprehension for the non-economics major, Steve Suranovic’s International Economics: Theory and Policy is for you.

International Economics: Theory and Policy presents numerous models in some detail; not by employing advanced mathematics, but rather by walking students through a detailed description of how a model’s assumptions influence its conclusions. Then, students learn how the models connect with the real world.

Steve’s book covers positive economics to help answer the normative questions; for example, what should a country do about trade policy, or about exchange rate policy? The results from models give students insights that help us answer these questions. Thus, this text strives to explain why each model is interesting by connecting its results to some aspect of a current policy issue.

This text eliminates some needlessly difficult material while adding and elaborating on other principles. For example, the development of the relative supply/demand structure, or the presentation of offer curves, are omitted as to not go too deeply into topics that tend to confuse many students at this level.

Steve developed new approaches in this text including a simple way to present the Jones’ magnification effects, a systematic method to teach the theory of the second best, and a unique description of valid reasons to worry about trade deficits. These new approaches help students learn the concepts and models and derive conclusions from them.

If you like to take a comprehensive look at trade policies, be sure to check out the chapter on Trade Policy (7). It provides a comprehensive look at many more trade policies than are found in many of the printed textbooks on the market today.

International Economics: Theory and Policy by Steve Suranovic is intended for use in a full semester trade course, a full semester finance course, or a one semester trade/finance course.

This course takes a look at the basic theories of international trade and the consequences of trade in today's global economy. You'll have the opportunity to learn more about fundamental ideas such as comparative advantage, increasing returns to scale, factor endowments, and arbitrage across borders. The consequences we discuss include the effects of offshoring, how trade has shaped the economies of China, Mexico, and Korea, when foreign direct investment is desirable, and the history of free trade and tariffs, among other topics. Trade is a topic of increasing importance and this material will give you a better grasp on the theories and empirics as they have been developed by economists.

Textbook overview
Part 1: Introduction to data. Data structures, variables, summaries, graphics, and basic data collection and study design techniques.
Part 2: Exploratory data analysis. Data visualization and summarization, with particular emphasis on multivariable relationships.
Part 3: Regression modeling. Modeling numerical and categorical outcomes with linear and logistic regression and using model results to describe relationships and make predictions.
Part 4: Foundations for inference. Case studies are used to introduce the ideas of statistical inference with randomization tests, bootstrap intervals, and mathematical models.
Part 5: Statistical inference. Further details of statistical inference using randomization tests, bootstrap intervals, and mathematical models for numerical and categorical data.
Part 6: Inferential modeling. Extending inference techniques presented thus-far to linear and logistic regression settings and evaluating model performance.
Each part contains multiple chapters and ends with a case study. Building on the content covered in the part, the case study uses the tools and techniques to present a high-level overview.

We are constantly bombarded by information, and finding a way to filter that information in an objective way is crucial to surviving this onslaught with your sanity intact. This is what statistics, and logic we use in it, enables us to do. Through the lens of statistics, we learn to find the signal hidden in the noise when it is there and to know when an apparent trend or pattern is really just randomness. The study of statistics involves math and relies upon calculations of numbers. But it also relies heavily on how the numbers are chosen and how the statistics are interpreted.

This work was created as part of the University of Missouri’s Affordable and Open Access Educational Resources Initiative (https://www.umsystem.edu/ums/aa/oer). The contents of this work have been adapted from the following Open Access Resources: Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University. Changes to the original works were made by Dr. Garett C. Foster in the Department of Psychological Sciences to tailor the text to fit the needs of the introductory statistics course for psychology majors at the University of Missouri – St. Louis. Materials from the original sources have been combined, reorganized, and added to by the current author, and any conceptual, mathematical, or typographical errors are the responsibility of the current author.

Introduction to Statistics in the Psychological Sciences is composed of 14 chapters organized into three units:

Unit 1: Fundamentals of Statistics
Unit 2: Hypothesis Testing
Unit 3: Additional Hypothesis Tests

The resource was adapted from the following Open Access Resources:
An Introduction to Psychological Statistics (https://irl.umsl.edu/oer/4/). Garett C. Foster, University of Missouri–St. Louis.
Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.

Organizations in the 21st century are in need of culturally intelligent managers and leaders. The pressure to build authentic global networks and to cultivate an appreciation and respect for cultural differences and similarities has driven cultural intelligence to the forefront of diversity and inclusion work.

Preparing today's students to be effective leaders in their professional lives requires that they hone their cultural intelligence as it is vital to working inter- and intra-culturally in today's global economy. This unique ability to identify, recognize, and acknowledge the differences and similarities that exist between and among cultural groups and systems will set their leadership skills apart from the masses. And when applied, cultural intelligence can bridge the gap in cultural misunderstanding by creating awareness, knowledge, and patience of cultural norms and behaviors.

The purpose of Leading With Cultural Intelligence by Mia Moua is to outline the important ideas of cultural intelligence and the steps that must be considered and then practiced to become a culturally intelligent leader. The most important aspect covered within this book is that cultural intelligence is both a strategy and a tool towards cultural competency and proficiency. This book outlines the importance of understanding culture and its impact on organizations, the strategic value of cultural intelligence, and the significance of integrating and practicing cultural intelligence in everyday business life. When all these aspects are properly integrated and applied in the leadership and management process, organizations are more innovative and adaptable to respond to cultural changes.

The accumulation of new knowledge over the last several years has provided the impetus for
this, the 7th edition of Parasitic Diseases. By integrating all the salient information contained
in over 1000 new references with the current descriptions of each pathogen, we continue
the never-ending process of evaluating, revising, and improving our understanding of these
parasitic organisms. New features to the 7th edition include a clinical summary section, additional life cycle diagrams and a pronouncer’s guide to parasite names. Consideration of the
biographies of those notable contributors to the field of parasitology has also been extended.
Parasites Without Borders continues to make available, free of charge, the PDF version of
Parasitic Diseases in both English and Spanish editions.

Contents
I. Acknowledgements
II. Preface
III. Eukaryotic Parasites
IV. The Protozoa
V. The Nematodes
VI. The Cestodes
VII. The Trematodes
VIII. The Arthropods
Appendix A. Procedures for Collecting 505-508
Clinical Specimens for Diagnosing Protozoan
and Helminthic Parasites
Appendix B. Laboratory Diagnostic Methods 509-516
Appendix C. Diagnostic Color Atlas 517-534
Parasite Identification Charts 535-538
Clinical Appendix 539-578
Pronunciation Guide 579-584
Acronyms 585-588
Index

Please see the Parasites without Borders Books page for the Spanish edition and other free to use books: https://parasiteswithoutborders.com/books/

Permission has been granted to post on VIVA Open.

Psychology 2e is designed to meet scope and sequence requirements for the single-semester introduction to psychology course. The book offers a comprehensive treatment of core concepts, grounded in both classic studies and current and emerging research. The text also includes coverage of the DSM-5 in examinations of psychological disorders. Psychology incorporates discussions that reflect the diversity within the discipline, as well as the diversity of cultures and communities across the globe.

The second edition contains detailed updates to address comments and suggestions from users. Significant improvements and additions were made in the areas of research currency, diversity and representation, and the relevance and recency of the examples. Many concepts were expanded or clarified, particularly through the judicious addition of detail and further explanation where necessary. Finally, the authors addressed the replication issues in the psychology discipline, both in the research chapter and where appropriate throughout the book.

Changes made in Psychology 2e are described in the preface to help instructors transition to the second edition. The first edition of Psychology by OpenStax is available in web view here.

New Edition! The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.

This fourth edition (published in 2019) was co-authored by Rajiv S. Jhangiani (Kwantlen Polytechnic University), Carrie Cuttler (Washington State University), and Dana C. Leighton (Texas A&M University—Texarkana) and is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Revisions throughout the current edition include changing the chapter and section numbering system to better accommodate adaptions that remove or reorder chapters; continued reversion from the Canadian edition; general grammatical edits; replacement of “he/she” to “they” and “his/her” to “their”; removal or update of dead links; embedded videos that were not embedded; moved key takeaways and exercises from the end of each chapter section to the end of each chapter; a new cover design. In addition, the following revisions were made to specific chapters:

This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.

From audience analysis to giving a presentation, Stand up, Speak out: The Practice and Ethics of Public Speaking will guide students through the speech making process. The authors focus on the process of speech making because they have created this book to be a user-friendly guide to creating, researching, and presenting public speeches. While both classic and current academic research in public speaking guide this book, the authors believe that a new textbook in public speaking should first, and foremost, be a practical book that helps students prepare and deliver a variety of different types of speeches — and that is the primary goal of this book.With practicality in mind, the authors developed, Stand up, Speak out: The Practice and Ethics of Public Speaking, as a streamlined public speaking textbook. Many public speaking textbooks today contain over twenty different chapters, which is often impossible to cover in a ten-week quarter or a sixteen-week semester; this textbook is eighteen unique chapters. The fifteen chapters are divided into four clear units of information: introduction to public speaking, speech preparation, speech creation, and speech presentation.

University Physics is a three-volume collection that meets the scope and sequence requirements for two- and three-semester calculus-based physics courses. Volume 1 covers mechanics, sound, oscillations, and waves. Volume 2 covers thermodynamics, electricity and magnetism, and Volume 3 covers optics and modern physics. This textbook emphasizes connections between theory and application, making physics concepts interesting and accessible to students while maintaining the mathematical rigor inherent in the subject. Frequent, strong examples focus on how to approach a problem, how to work with the equations, and how to check and generalize the result.

Table of Contents
Unit 1: Thermodynamics

Chapter 1: Temperature and Heat
Chapter 2: The Kinetic Theory of Gases
Chapter 3: The First Law of Thermodynamics
Chapter 4: The Second Law of Thermodynamics
Unit 2: Electricity and Magnetism

Chapter 5: Electric Charges and Fields
Chapter 6: Gauss's Law
Chapter 7: Electric Potential
Chapter 8: Capacitance
Chapter 9: Current and Resistance
Chapter 10: Direct-Current Circuits
Chapter 11: Magnetic Forces and Fields
Chapter 12: Sources of Magnetic Fields
Chapter 13: Electromagnetic Induction
Chapter 14: Inductance
Chapter 15: Alternating-Current Circuits
Chapter 16: Electromagnetic Waves

A Writer's Guide to Mindful Reading develops and enacts the mindful reading pedagogy described in Ellen C. Carillo's scholarly monograph Securing a Place for Reading in Composition: The Importance of Teaching for Transfer (Utah State UP). Offering a comprehensive approach to literacy instruction by focusing on reading and writing, A Writer's Guide to Mindful Reading supports students as they become more reflective, deliberate, and mindful readers and writers by working within a metacognitive framework. The reading selections, assignments, and activities in this innovative textbook move students toward this goal by providing opportunities to apply and reflect on multiple ways of reading and writing, positioning students to develop a metacognitive awareness crucial to transferring what they learn about reading and writing to other courses and contexts. Because many of the difficulties that students encounter when writing are related to the difficulties posed by reading complex texts, A Writer's Guide to Mindful Reading gives instructors the tools to help students develop a repertoire of reading strategies that will help them become stronger readers and—by extension—stronger writers.