dimensional analysis
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Concentrates on recognizing and solving convex optimization problems that arise in engineering. Topics include: Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal proc...more
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Moore uses the core/context analysis framework to discuss how to overcome inertia in strategy and structure.
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Dell describes three critical inflection points in the business model of Dell, Inc.: 1) During the early stages of the company, expanding outside the United States, even though the company had very little capital and people; 2) An unprecedented on-site service program for PCs; and 3) Going into the server business. These decisions were made through fair amounts of discussion, data analysis, and observations of industry trends.
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More analysis of the cupcake business.
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The course is an introduction to Dante and his cultural milieu through a critical reading of the Divine Comedy and selected minor works (Vita nuova, Convivio, De vulgari eloquentia, Epistle to Cangrande). An analysis of Dante's autobiography, the Vita nuova, establishes the poetic and political circumstances of the Comedy's composition. Readings of Inferno, Purgatory and Paradise seek to situate Dante's work within the intellectual and soc...more
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Dr. Levine discusses through analysis of Darwin's literary works, ways of seeing and being enchanted by the world as well as the poetic eloquence of Darwin's prose. The lecture is concluded with a discussion between Dr. Levine and Rob Polhemus.
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Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODEs) deal with functions of one variable, which can often be thought of as time. Topics include: Solution of first-order ODE's by analytical, graphical and numerical methods; Linear ODE's, especial...more
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Discriminative Algorithms, Generative Algorithms, Gaussian Discriminant Analysis (GDA), GDA and Logistic Regression, Naive Bayes, Laplace Smoothing
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In this lecture we move from present values to dynamic present values. If interest rates evolve along the forward curve, then the present value of the remaining cash flows of any instrument will evolve in a predictable trajectory. The fastest way to compute these is by backward induction. Dynamic present values help us understand the returns of various trading strategies, and how marking-to-market can prevent some subtle abuses of the syst...more
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Several theories in finance relate to stock price analysis and prediction. The efficient markets hypothesis states that stock prices for publicly-traded companies reflect all available information. Prices adjust to new information instantaneously, so it is impossible to "beat the market." Furthermore, the random walk theory asserts that changes in stock prices arise only from unanticipated new information, and so it is impossible to predic...more
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This course consists of an international analysis of the impact of epidemic diseases on western society and culture from the bubonic plague to HIV/AIDS and the recent experience of SARS and swine flu. Leading themes include: infectious disease and its impact on society; the development of public health measures; the role of medical ethics; the genre of plague literature; the social reactions of mass hysteria and violence; the rise of the g...more
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This class is an introduction to the evolutionary analysis of human emotions, how they work, why they exist, and what they communicate. In particular, this lecture discusses three interesting case studies, that of happiness (e.g., smiling), fear and the emotions we feel towards our relatives. Finally, this lecture ends with a brief discussion of babies' emotional responses to their caregivers.
