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An Introduction with Readings

Vaccination has long been a familiar, highly effective form of medicine and a triumph of public health. Because vaccination is both an individual medical intervention and a central component of public health efforts, it raises a distinct set of legal and ethical issues—from debates over their risks and benefits to the use of government vaccination requirements—and makes vaccine policymaking uniquely challenging. This volume examines the full range of ethical and policy issues related to the development and use of vaccines in the United States and around the world.

An Introduction to Inductive Logic

This textbook offers a thorough and practical introduction to inductive logic. The book covers a range of different types of inferences with an emphasis throughout on representing them as arguments. This allows the reader to see that, although the rules and guidelines for making each type of inference differ, the purpose is always to generate a probable conclusion.

The Growth of Grammar

How do children begin to use language? How does knowledge of language emerge in early infancy, and how does it grow? This textbook offers a comprehensive introduction to knowledge acquisition, drawing on empirical evidence and linguistic theory. The theoretical framework used is the generative theory of Universal Grammar; students should have some familiarity with concepts in linguistic research. Aimed at upper-level undergraduate and graduate students, the book offers end-of-chapter summaries, key words, study questions, and exercises.

This book offers an accessible guide to the financial aspects of launching and operating a high-tech business in such areas as engineering, computing, and science. It explains a range of subjects—from risk analysis to stock incentive programs for founders and key employees—for students and aspiring entrepreneurs who have no prior training in finance or accounting.

This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior.

An Introduction to Philosophical Argument and Analysis

The best way to introduce students to philosophy and philosophical discourse is to have them read and wrestle with original sources. This textbook explores philosophy through detailed argument analyses of texts by philosophers from Plato to Strawson. It presents a novel and transparent method of analysis that will teach students not only how to understand and evaluate philosophers’ arguments but also how to construct such arguments themselves.

The Palladio Approach

Too often, software designers lack an understanding of the effect of design decisions on such quality attributes as performance and reliability. This necessitates costly trial-and-error testing cycles, delaying or complicating rollout. This book presents a new, quantitative architecture simulation approach to software design, which allows software engineers to model quality of service in early design stages.

Photographs have been doctored since photography was invented. Dictators have erased people from photographs and from history. Politicians have manipulated photos for short-term political gain. Altering photographs in the predigital era required time-consuming darkroom work. Today, powerful and low-cost digital technology makes it relatively easy to alter digital images, and the resulting fakes are difficult to detect. The field of photo forensics—pioneered in Hany Farid’s lab at Dartmouth College—restores some trust to photography.

A Guide for the Practicing Neuroscientist

As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data.

With Application to Understanding Data

This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data.

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