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An Intuitive Approach

This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises.

From Laboratory to Theory

Vision is one of the most active areas in biomedical research, and visual psychophysical techniques are a foundational methodology for this research enterprise. Visual psychophysics, which studies the relationship between the physical world and human behavior, is a classical field of study that has widespread applications in modern vision science. Bridging the gap between theory and practice, this textbook provides a comprehensive treatment of visual psychophysics, teaching not only basic techniques but also sophisticated data analysis methodologies and theoretical approaches.

Beyond the Bad-Apple Approach

Federal regulations that govern research misconduct in biomedicine have not been able to prevent an ongoing series of high-profile cases of fabricating, falsifying, or plagiarizing scientific research. In this book, Barbara Redman looks critically at current research misconduct policy and proposes a new approach that emphasizes institutional context and improved oversight.

A Self-Contained Approach

This unique introduction to econometrics provides undergraduate students with a command of regression analysis in one semester, enabling them to grasp the empirical literature and undertake serious quantitative projects of their own. It does not assume any previous exposure to probability and statistics but does discuss the concepts in these areas that are essential for econometrics. The bulk of the textbook is devoted to regression analysis, from simple to advanced topics.

Beyond Gridlock

The “golden era” of American environmental lawmaking in the 1960s and 1970s saw twenty-two pieces of major environmental legislation (including the Clean Air Act, the Clean Water Act, and the Endangered Species Act) passed by bipartisan majorities in Congress and signed into law by presidents of both parties. But since then partisanship, the dramatic movement of Republicans to the right, and political brinksmanship have led to legislative gridlock on environmental issues.

This rigorous and comprehensive textbook develops a basic small open economy model and shows how it can be extended to answer many important macroeconomic questions that arise in emerging markets and developing economies, particularly those regarding monetary, fiscal, and exchange rate issues. Eschewing the complex calibrated models on which the field of international finance increasingly relies, the book teaches the reader how to think in terms of simple models and grasp the fundamentals of open economy macroeconomics.

In Matter and Consciousness, Paul Churchland presents a concise and contemporary overview of the philosophical issues surrounding the mind and explains the main theories and philosophical positions that have been proposed to solve them. Making the case for the relevance of theoretical and experimental results in neuroscience, cognitive science, and artificial intelligence for the philosophy of mind, Churchland reviews current developments in the cognitive sciences and offers a clear and accessible account of the connections to philosophy of mind.

A Candid Guide to the Profession

Since 1985, Architect? has been an essential text for aspiring architects, offering the best basic guide to the profession available. This third edition has been substantially revised and rewritten, with new material covering the latest developments in architectural and construction technologies, digital methodologies, new areas of focus in teaching and practice, evolving aesthetic philosophies, sustainability and green architecture, and alternatives to traditional practice.

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.

An Introduction

Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology.

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