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Business Performance Analysis Using Operations Measures and Tools

Investors and analysts often need to look into a firm’s operations more deeply than traditional financial statements and models allow. This book describes newly developed tools for using operations metrics to discern and influence the valuation of a firm. It is the first to present these techniques from a unified perspective: that of operations forensics, which looks at operations management not from the traditional point of view of a manager but from that of an investor or shareholder.

The vast majority of scientists agree that human activity has significantly increased greenhouse gases in the atmosphere--most dramatically since the 1970s. Yet global warming skeptics and ill-informed elected officials continue to dismiss this broad scientific consensus.

Insight through Inquiry

Interactive visualization is emerging as a vibrant new form of communication, providing compelling presentations that allow viewers to interact directly with information in order to construct their own understandings of it. Building on a long tradition of print-based information visualization, interactive visualization utilizes the technological capabilities of computers, the Internet, and computer graphics to marshal multifaceted information in the service of making a point visually.

The mobile device is changing the ways we interact with each other and with the world. The mobile experience is distinct from the desktop or laptop experience; mobile apps require a significantly different design philosophy as well as design methods that reflect the unique experience of computing in the world. This book presents an approach to designing mobile media that takes advantage of the Internet-connected, context-aware, and media-sharing capabilities of mobile devices.

Choosing Among Options

Human survival depends on a continuing supply of energy, but the need for ever-increasing amounts of it poses a dilemma: How can we find energy sources that are sustainable and ways to convert and utilize energy that are more efficient? This widely used textbook is designed for advanced undergraduate and graduate students as well as others who have an interest in exploring energy resource options and technologies with a view toward achieving sustainability on local, national, and global scales.

How We Perceive the World

In this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to explore how the brain sees the world. Understanding vision, Stone argues, is not simply a question of knowing which neurons respond to particular visual features, but also requires a computational theory of vision.

Neoclassical, Keynesian, and Marxian

Contending Economic Theories offers a unique comparative treatment of the three main theories in economics as it is taught today: neoclassical, Keynesian, and Marxian. Each is developed and discussed in its own chapter, yet also differentiated from and compared to the other two theories. The authors identify each theory’s starting point, its goals and foci, and its internal logic.

Characteristics of Games offers a new way to understand games: by focusing on certain traits--including number of players, rules, degrees of luck and skill needed, and reward/effort ratio--and using these characteristics as basic points of comparison and analysis. These issues are often discussed by game players and designers but seldom written about in any formal way. This book fills that gap. By emphasizing these player-centric basic concepts, the book provides a framework for game analysis from the viewpoint of a game designer.

A Probabilistic Perspective

Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.