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Love and tragedy dominate book four of Virgil's most powerful work, building on the violent emotions invoked by the storms, battles, warring gods, and monster-plagued wanderings of the epic's opening. Destined to be the founder of Roman culture, Aeneas, nudged by the gods, decides to leave his beloved Dido, causing her suicide in pursuit of his historical destiny. A dark plot, in which erotic passion culminates in sex, and sex leads to tragedy and death in the human realm, unfolds within the larger horizon of a supernatural sphere, dominated by power-conscious divinities. Dido is Aeneas' most significant other, and in their encounter Virgil explores timeless themes of love and loyalty, fate and fortune, the justice of the gods, imperial ambition and its victims, and ethnic differences. This course book offers a portion of the original Latin text, study questions, a commentary, and interpretative essays. Designed to stretch and stimulate readers, Ingo Gildenhard's incisive commentary will be of particular interest to students of Latin at both A2 and undergraduate level. It extends beyond detailed linguistic analysis to encourage critical engagement with Virgil's poetry and discussion of the most recent scholarly thought.
- Subjects:
- Foreign Language Learning and Language and Languages
- Keywords:
- Epic poetry Latin Latin language -- Study teaching Aeneas -- (Legendary character) Textbooks
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- e-book
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e-book
The thirty chapters in this edited collection were selected from the more than 500 presentations at the Writing Research Across Borders II Conference in 2011. With representatives from more than forty countries, this conference gave rise to the International Society for the Advancement of Writing Research. The chapters selected for this collection represent cutting edge research on writing from all regions, organized around three themes—cultures, places, and measures. The authors report research that considers writing in all levels of schooling, in science, in the public sphere, and in the workplace, as well as at the relationship among these various places of writing. The authors also consider the cultures of writing—among them national cultures, gender cultures, schooling cultures, scientific cultures, and cultures of the workplace. Finally, the chapters examine various ways of measuring writing and how these measures interact with practices of teaching and learning.Edited by Charles Bazerman, Chris Dean, Jessica Early, Karen Lunsford, Suzie Null, Paul Rogers, and Amanda Stansell.
- Subjects:
- English Language and Language and Languages
- Keywords:
- Rhetoric -- Research Rhetoric -- Study teaching Conference papers proceedings Textbooks
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- e-book
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e-book
The author of Principles of Sociological Inquiry: Qualitative and Quantitative Methods, Amy Blackstone, started envisioning this textbook while sitting in her own undergraduate sociology research methods class. She enjoyed the material but wondered about its relevance to her everyday life and future plans (the idea that one day she would be teaching such a class hadn't yet occurred to her). Now that she teaches the research methods course, she realizes that students today wonder the very same thing. While the importance of understanding research methods is usually clear to those students who intend to pursue an advanced degree, Amy wanted to write a text that would assist research methods teachers in demonstrating to all types of students the relevance of this course. In addition, Amy Blackstone's experience as an active researcher who uses both qualitative and quantitative methods made her acutely aware of the need for a balanced approach in teaching methods of sociological inquiry. Together, Amy Blackstone's experiences as a student, researcher, and teacher shape the three overriding objectives of Principles of Sociological Inquiry: Qualitative and Quantitative Methods: Relevance, Balance, and Accessibility. Principles of Sociological Inquiry: Qualitative and Quantitative Methods emphasizes the relevance of research methods for the everyday lives of its readers, undergraduate students.Each chapter describes how research methodology is useful for students in the multiple roles they fill: As consumers of popular and public information As citizens As current and future employees. Connections to these roles are made throughout and directly within the main text of the book Principles of Sociological Inquiry: Qualitative and Quantitative Methods also provides balanced coverage of qualitative and quantitative approaches by integrating a variety of examples from recent and classic sociological research. The text challenges students to debate and discuss the strengths and weaknesses of both approaches. Finally, one of the most important goals Amy had for Principles of Sociological Inquiry: Qualitative and Quantitative Methods was to introduce students to the core principles of social research in a way that is straightforward and engaging. As such, the text reflects public sociology's emphasis on making sociology accessible and readable. No one can validate that claim more than a teacher or student. So, take a look for yourself today and review Principles of Sociological Inquiry: Qualitative and Quantitative Methods by Amy Blackstone to see if its approach toward relevance, balance, and accessibility are right for your course and students.
- Subjects:
- Sociology and Statistics and Research Methods
- Keywords:
- Sociology -- Research -- Methodology Sociology -- Research Textbooks
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- e-book
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e-book
Russell Cooper and Andrew John have written an economics text aimed directly at students from its very inception. You're thinking, ”Yeah, sure. I've heard that before.“ This textbook, Economics: Theory Through Applications, centers around student needs and expectations through two premises: … Students are motivated to study economics if they see that it relates to their own lives. … Students learn best from an inductive approach, in which they are first confronted with a problem, and then led through the process of solving that problem. Many books claim to present economics in a way that is digestible for students; Russell and Andrew have truly created one from scratch. This textbook will assist you in increasing students' economic literacy both by developing their aptitude for economic thinking and by presenting key insights about economics that every educated individual should know. How? Russell and Andrew have done three things in this text to accomplish that goal: Applications Ahead of Theory: They present all the theory that is standard in Principles books. But by beginning with applications, students get to learn why this theory is needed. Learning through Repetition: Important tools appear over and over again, allowing students to learn from repetition and to see how one framework can be useful in many different contexts. A Student's Table of Contents vs. An Instructor's Table of Contents: There is no further proof that Russell and Andrew have created a book aimed specifically at educating students about economics than their two tables of contents.
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e-book
forall x is an introduction to sentential logic and first-order predicate logic with identity, logical systems that significantly influenced twentieth-century analytic philosophy. After working through the material in this book, a student should be able to understand most quantified expressions that arise in their philosophical reading. This books treats symbolization, formal semantics, and proof theory for each language. The discussion of formal semantics is more direct than in many introductory texts. Although forall x does not contain proofs of soundness and completeness, it lays the groundwork for understanding why these are things that need to be proven. Throughout the book, I have tried to highlight the choices involved in developing sentential and predicate logic. Students should realize that these two are not the only possible formal languages. In translating to a formal language, we simplify and profit in clarity. The simplification comes at a cost, and different formal languages are suited to translating different parts of natural language. The book is designed to provide a semester's worth of material for an introductory college course. It would be possible to use the book only for sentential logic, by skipping chapters 4-5 and parts of chapter 6.
- Subjects:
- Philosophy
- Keywords:
- Logic Textbooks
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- e-book
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e-book
Welcome to Essentials of Nutrition: A Functional Approach! This book is written for students who are not majoring in nutrition, but want to learn about the fundamental aspects of nutrition and how it applies to their own lives. We have written this book with the assumption that you have little or no prior knowledge of college level chemistry, biology, or physiology. But that does not mean it’s not scientific! Nutrition is a science-based discipline, so all the material included is backed up by rigorous scientific research, but it is presented in a clear, easy-to-understand fashion without requiring a background in science.
- Subjects:
- Food Science
- Keywords:
- Nutrition Textbooks
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- e-book
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e-book
This book will teach you how to make graphical computer games in the Python programming language using the Pygame library.This book assumes you know a little bit about Python or programming in general. If you don’t know how to program, you can learn by downloading the free book "Invent Your Own Computer Games with Python" from http://inventwithpython.com. Or you can jump right into this book and mostly pick it up along the way. This book is for the intermediate programmer who has learned what variables and loops are, but now wants to know, "What do actual game programs look like?" There was a long gap after I first learned programming but didn’t really know how to use that skill to make something cool. It’s my hope that the games in this book will give you enough ideas about how programs work to provide a foundation to implement your own games.
- Subjects:
- Computing
- Keywords:
- Computer programming Computer games Python (Computer program language) Textbooks Programming languages (Electronic computers)
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- e-book
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e-book
The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine 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 trade offs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.The single most important skill for a computer scientist is problem-solving. By that I mean the ability to formulate problems, think creatively about solutions, and express a solution clearly and accurately. As it turns out, the process of learning to program is an excellent opportunity to practice problem-solving skills. That’s why this chapter is called “The way of the program.”
- Subjects:
- Computing
- Keywords:
- Computer programming C++ (Computer program language) Programming languages (Electronic computers) Textbooks
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- e-book
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e-book
Think DSP is an introduction to Digital Signal Processing in Python. The premise of this book (and the other books in the Think X series) is that if you know how to program, you can use that skill to learn other things. The author is writing this book because he thinks the conventional approach to digital signal processing is backward: most books (and the classes that use them) present the material bottom-up, starting with mathematical abstractions like phasors.
- Subjects:
- Electrical Engineering and Computing
- Keywords:
- Signal processing -- Digital techniques -- Data processing Python (Computer program language) Textbooks
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- e-book
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e-book
This book is about complexity science, data structures and algorithms, intermediate programming in Python, and the philosophy of science: Data structures and algorithms: A data structure is a collection that contains data elements organized in a way that supports particular operations. For example, a dictionary organizes key-value pairs in a way that provides fast mapping from keys to values, but mapping from values to keys is generally slower. An algorithm is a mechanical process for performing a computation. Designing efficient programs often involves the co-evolution of data structures and the algorithms that use them. For example, the first few chapters are about graphs, a data structure that is a good implementation of a graph---nested dictionaries---and several graph algorithms that use this data structure. Python programming: This book picks up where Think Python leaves off. I assume that you have read that book or have equivalent knowledge of Python. As always, I will try to emphasize fundmental ideas that apply to programming in many languages, but along the way you will learn some useful features that are specific to Python. Computational modeling: A model is a simplified description of a system that is useful for simulation or analysis. Computational models are designed to take advantage of cheap, fast computation. Philosophy of science: The models and results in this book raise a number of questions relevant to the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, holism and reductionism, and Bayesian epistemology. 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. Complexity science is an interdisciplinary field---at the intersection of mathematics, computer science and physics---that focuses on these kinds of models. That's what this book is about.
- Subjects:
- Computing
- Keywords:
- Computational complexity Python (Computer program language) Textbooks
- Resource Type:
- e-book