Like most introductory science textbooks, this one opens with a discussion of scientific method. A key feature is its focus on experimental support for what we know about cell and molecular biology. Understanding how science is practiced and how investigators think about experimental results is essential to understanding the relationship of cell structure and function…, not to mention our relationship to the natural world. This is a free Open Education Resource (OER), covered by a Creative Commons CCBY license (check out the Preface!). Every chapter begins with learning objectives and links to relevant recorded lectures. As used by the author, the iText engages students with embedded “just-in-time” learning tools. These include instructor’s annotations (comments) directing students to animations or text of interest, as well as links to writing assignments and quizzes. These interactive features aim to strengthen critical thinking and writing skills necessary to understand cell and molecular biology, not to mention science as a way of thinking in general. Please excuse the marketing terms, but you can choose between Bronze, Silver, or Gold versions, reflecting increasing potential for student interaction with the iText. Download your choice of the iText or the sample chapter at one of the links below.
Fundamental Methods of Logic is suitable for a one-semester introduction to logic/critical reasoning course. It covers a variety of topics at an introductory level. Chapter One introduces basic notions, such as arguments and explanations, validity and soundness, deductive and inductive reasoning; it also covers basic analytical techniques, such as distinguishing premises from conclusions and diagramming arguments. Chapter Two discusses informal logical fallacies. Chapters Three and Four concern deductive logic, introducing the basics of Aristotelian and Sentential Logic, respectively. Chapter Five deals with analogical and causal reasoning, including a discussion of Mill's Methods. Chapter Six covers basic probability calculations, Bayesian inference, fundamental statistical concepts and techniques, and common statistical fallacies.
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