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This course is an introduction to copyright law and American law in general. Topics covered include: structure of federal law; basics of legal research; legal citations; how to use LexisNexis®; the 1976 Copyright Act; copyright as applied to music, computers, broadcasting, and education; fair use; Napster®, Grokster®, and Peer-to-Peer file-sharing; Library Access to Music Project; The 1998 Digital Millennium Copyright Act; DVDs and encrypt...more
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A series of three psychology lectures by Professor Glenn D. Wilson.These free public lectures were delivered in London during 2010-11 by Professor Wilson in his capacity as Visiting Gresham Professor of Psychology.All information about these lectures and all future lectures can be found on the Gresham College website:http://www.gresham.ac.uk
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Psychology 135 Course: Interrelationships between the individual and his social environment. Social influences on motivation, perception, and behavior. Development and change of attitudes and opinions. Psychological analysis of small groups, social stratification, and mass phenomena.
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Psychology 116: Neuroscience Lab is a laboratory experience exploring various topics in behavioral neuroscience. Dr. William Grisham is a Professor from UCLAs Department of Physiological Science. Since July of 1996, Dr. Grisham coordinated and taught upper division laboratories in Interdepartmental Program in Neuroscience and Biopsychology majors for UCLA. Furthermore, he participated in selection and development of laboratory exercises...more
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Professors Benjamin Karney and Thomas Bradbury lecture on families and couples. This course examines relationships and their connection to individual psychopathology, marital discord, and family disruption.
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What do your dreams mean? Do men and women differ in the nature and intensity of their sexual desires? Can apes learn sign language? Why can't we tickle ourselves? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, religion, persuasion, love, lust, hunger, art...more
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This is a survey of the main trends in twentieth-century literary theory. Lectures will provide background for the readings and explicate them where appropriate, while attempting to develop a coherent overall context that incorporates philosophical and social perspectives on the recurrent questions: what is literature, how is it produced, how can it be understood, and what is its purpose?
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Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converters. Switched-...more
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Building blocks and case studies on the financial analysis and valuation of public equities.
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An intensive introduction to African American political thought that focuses on major ideological trends and political philosophies as they have been applied and interpreted by African Americans. Elements of the class include debates and conflicts in black political thought, historical contest of African American social movements, and discussions of the relationship between black political thought and major trends in Western thought. M...more
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This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
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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
