From the University of Florida College of Fine Arts, Charlie Mitchell and distinguished colleagues from across America present an introductory text for theatre and theoretical production. This book seeks to give insight into the people and processes that create theater. It does not strip away the feeling of magic but to add wonder for the artistry that make a production work well.

Theological Questions is an Open Educational Resource (free textbook) that originates from St. Mary’s University in San Antonio and was created with funding form the Atla OER Grant Program. This open textbook was used at St. Mary's in the first of two required core theology courses. It is designed to give a broad historical overview of theological questions from the perspective of the Catholic tradition. It seeks to represent fairly a variety of questions and answers within and beyond the Catholic tradition. This OER is a foundation for other teachers of introductory courses in theology who may wish to adapt it for their purposes.

Word Count: 45449

Included H5P activities: 39

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The second in a two-volume set, A Theory of Literate Action draws on work from the social sciences—and in particular sociocultural psychology, phenomenological sociology, and the pragmatic tradition of social science—to "reconceive rhetoric fundamentally around the problems of written communication rather than around rhetoric's founding concerns of high stakes, agonistic, oral public persuasion" (p. 3). An expression of more than a quarter-century of reflection and scholarly inquiry, this volume represents a significant contribution to contemporary rhetorical theory.

Thermodynamics and Chemistry is designed primarily as a textbook for a one-semester course in classical chemical thermodynamics at the graduate or undergraduate level. It can also serve as a supplementary text and thermodynamics reference source.

The book is appropriately comprehensive, covering the basics as well as interesting and important applications of Bayesian methods.

This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science. This book focuses on discrete models, which include graphs, cellular automata, and agent-based models. They are often characterized by structure, rules and transitions rather than by equations. They tend to be more abstract than continuous models; in some cases there is no direct correspondence between the model and a physical system.

The examples and supporting code for this book are in Python. You should know core Python and you should be familiar with object-oriented features, at least using objects if not defining your own. If you are not already familiar with Python, you might want to start with my other book, Think Python, which is an introduction to Python for people who have never programmed, or Mark Lutz’s Learning Python, which might be better for people with programming experience.

Data structures and algorithms are among the most important inventions of the last 50 years, and they are fundamental tools software engineers need to know. But in my opinion, most of the books on these topics are too theoretical, too big, and too bottom-up:

*Too theoretical: Mathematical analysis of algorithms is based on simplifying assumptions that limit its usefulness in practice. Many presentations of this topic gloss over the simplifications and focus on the math. In this book I present the most practical subset of this material and eliminate the rest.

*Too big: Most books on these topics are at least 500 pages, and some are more than 1000. By focusing on the topics I think are most useful for software engineers, I kept this book under 250 pages.

*Too bottom-up: Many data structures books focus on how data structures work (the implementations), with less about how to use them (the interfaces). In this book, I go “top down”, starting with the interfaces. Readers learn to use the structures in the Java Collections Framework before getting into the details of how they work.

Finally, many present this material out of context and without motivation: it’s just one damn data structure after another!

I try to alleviate the boredom by organizing the topics around an application—web search—that uses data structures extensively, and is an interesting and important topic in its own right.

This application also motivates some topics that are not usually covered in an introductory data structures class, including persistent data structures, with Redis, and streaming algorithms.

I have made difficult decisions about what to leave out, but I have made some compromises. I include a few topics that most readers will never use, but that they might be expected to know, possibly in a technical interview. For these topics, I present both the conventional wisdom as well as my reasons to be skeptical.

This book also presents basic aspects of software engineering practice, including version control and unit testing. Each chapter ends with an exercise that allows readers to apply what they have learned. Each exercise includes automated tests that check the solution. And for most exercises, I present my solution at the beginning of the next chapter.

This book is intended for college students in computer science and related fields, as well as professional software engineers, people training in software engineering, and people preparing for technical interviews.

I assume that the reader knows Java at an intermediate level, but I explain some Java features along the way, and provide pointers to supplementary material.

People who have read Think Java or Head First Java are prepared for this book.

Think Java is an introduction to Java programming for beginners. It is tailored for students preparing for the Computer Science Advanced Placement (AP) Exam, but it is for anyone who wants to learn Java.

Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.

Think Raku is an introduction to computer science and programming intended for people with little or no experience.

This aim of this book is not primarily to teach Raku, but instead to teach the art of programming, using the Raku language. After having completed this book, you should hopefully be able to write programs to solve relatively difficult problems in Raku, but my main aim is to teach computer science, software programming, and problem solving rather than solely to teach the Raku language itself.

Think Raku is a free book available under a Creative Commons license. Readers are free to copy and distribute the text; they are also free to modify it, which allows them to adapt the book to different needs, and to help develop new material.

Think Stats is an introduction to Probability and Statistics for Python programmers.

*Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
*If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

Short Description:
This book is designed as a succinct and focused resource, specifically aimed to help students grasp key threshold concepts in Biochemistry. Due to their troublesome nature, understanding threshold concepts is a cognitively demanding task. By using a series of thematically linked case studies that accompany theory, the cognitive load will be reduced. This will free up students to focus on learning concepts rather than distracting them with unnecessary specifics. Please note this book is being published iteratively and the final four chapters will be available in the first half of 2024.

Long Description:
Biochemistry (and Molecular Biology) represent one of the fastest-growing fields of scientific research and technical innovation and the resulting biotechnology is increasingly applied to other fields of study. So, an understanding of Biochemistry is increasingly important for students in all biological disciplines. However, at the same time, the content is inherently complex, highly abstract, and often deeply rooted in the pure sciences – mathematics, chemistry, and physics. This makes it difficult to both learn and to teach.

This book is designed as a succinct and focused resource, specifically aimed to help students grasp key threshold concepts in Biochemistry. Due to their troublesome nature, understanding threshold concepts is a cognitively demanding task. By using a series of thematically linked case studies that accompany theory, the cognitive load will be reduced. This will free up students to focus on learning concepts rather than distracting them with unnecessary specifics.

Word Count: 18579

ISBN: 978-0-6484681-9-6

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

International Relations scholars have traditionally expressed little direct interest in addressing time and temporality. Yet, assumptions about temporality are at the core of many theories of world politics and time is a crucial component of the human condition and our social reality. Today, a small but emerging strand of literature has emerged to meet questions concerning time and temporality and its relationship to International Relations head on. This edited collection provides a platform to continue this work. The chapters in this book address subjects such as identity, terrorism, war, gender relations, global ethics and governance in order to demonstrate how focusing on the temporal aspects of such phenomena can enhance our understanding of the world.

To Catch the Rain is targeted at makers – DIYers looking for practical solutions to water problems for themselves or their communities. The book also provides an excellent overview of rainwater harvesting for students and teachers in environmental science, sustainable design, international development and engineering.

This textbook presents core concepts common to introductory social psychology courses. The 8 units include 27 modules covering key social psych topics such as research methods, group processes, social influence, and relationships. This book can be modified: feel free to add or remove modules to better suit your specific needs. The book includes a comprehensive instructor's manual, PowerPoint presentations, a test bank, reading anticipation guides, and adaptive student quizzes.

Podcasting is a dynamic way to use your smarts and creativity to tell stories about compelling subjects. This handbook provides instruction and tools to produce your own podcast — whether you are a professional in journalism, the arts, sciences, business or law, an activist or just someone who has a story to tell. The tools discussed are focused on keeping costs low for entry-level podcasters and designed to help anyone who wants to record, edit and distribute podcasts.

According to Project Information Literacy, defining and narrowing a topic is the most difficult step for beginning undergraduate researchers. This concept mapping lesson is designed to reinforce the idea that when students are writing academic papers or creating class projects they are engaging in a scholarly conversation.