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Philosophy and the Science of Human Nature pairs central texts from Western philosophical tradition (including works by Plato, Aristotle, Epictetus, Hobbes, Kant, Mill, Rawls, and Nozick) with recent findings in cognitive science and related fields. The course is structured around three intertwined sets of topics: Happiness and Flourishing; Morality and Justice; and Political Legitimacy and Social Structures.
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This course explores the physical processes that control Earth's atmosphere, ocean, and climate. Quantitative methods for constructing mass and energy budgets. Topics include clouds, rain, severe storms, regional climate, the ozone layer, air pollution, ocean currents and productivity, the seasons, El Niño, the history of Earth's climate, global warming, energy, and water resources.
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In this course, we will seek to interpret capitalism using ideas from biological evolution: firms pursuing varied strategies and facing extinction when those strategies fail are analogous to organisms struggling for survival in nature. For this reason, it is less concerned with ultimate judgment of capitalism than with the ways it can be shaped to fit our more specific objectives – for the natural environment, public health, alleviation of...more
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This course examines the Old Testament (Hebrew Bible) as an expression of the religious life and thought of ancient Israel, and a foundational document of Western civilization. A wide range of methodologies, including source criticism and the historical-critical school, tradition criticism, redaction criticism, and literary and canonical approaches are applied to the study and interpretation of the Bible. Special emphasis is placed on the ...more
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Stanford University offers a Master's of Science in Computer Science that can be earned entirely through part-time online study. The program is administered through the Stanford Center for Professional Development. Admissions: Applicants to the online program must meet the same standards as applicants to the traditional on-campus program. More information is available through the Computer Science Department website. Students may begin t...more
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This is a continuation of Fundamentals of Physics, I (PHYS 200), the introductory course on the principles and methods of physics for students who have good preparation in physics and mathematics. This course covers electricity, magnetism, optics and quantum mechanics. Course Structure: 75 minute lectures, twice per week
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Note: This course is offered by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learnin...more
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Note: This course is being offered this summer by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. To...more
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Note: This course is being offered by Stanford this summer as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming...more
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Introduction to Chemical Engineering (E20) is an introductory course offered by the Stanford University Engineering Department. It provides a basic overview of the chemical engineering field today and delves into the applications of chemical engineering.
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This is a math course aimed at students with life science majors covering elementary probability, probability distributions, random variables, and limit theorems.
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This course is the second of a two-term sequence. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of Principles of Digital Communication I and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-d...more
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