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UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 11. Introduction to Probability and Statistics: Estimation of Parameters View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation. Recorded on July 17, 2013 Required attribution: Cranston, Michael C. Math 131A (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 12. Introduction to Probability and Statistics: Fitting of Probability Distributions View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation. Recorded on July 19, 2013 Required attribution: Cranston, Michael C. Math 131A (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

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This course focuses on the institutional relationships that affect the raising, maintenance and use of military forces in the United States. It is about civil/military, government/industry, military/science and military service/military service relations. The course examines how politicians, defense contractors, and military officers determine the military might of the United States. It analyzes the military strategies of the nation and the bureaucratic strategies of the armed services, contractors, and defense scientists. It offers a combination of military sociology, organizational politics, and the political economy of defense.

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This course is offered to undergraduates and introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Topics covered include: fundamental principles of digital computing and the implications for algorithm accuracy and stability, error propagation and stability, the solution of systems of linear equations, including direct and iterative techniques, roots of equations and systems of equations, numerical interpolation, differentiation and integration, fundamentals of finite-difference solutions to ordinary differential equations, and error and convergence analysis. The subject is taught the first half of the term. This subject was originally offered in Course 13 (Department of Ocean Engineering) as 13.002J. In 2005, ocean engineering

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UCI Chem 131B Molecular Structure & Statistical Mechanics (Winter 2013) Lec 15. Molecular Structure & Statistical Mechanics -- Electronic Spectroscopy -- Part 4. View the complete course: http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html Instructor: Rachel Martin, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: Principles of quantum mechanics with application to the elements of atomic structure and energy levels, diatomic molecular spectroscopy and structure determination, and chemical bonding in simple molecules. Molecular Structure & Statistical Mechanics (Chem 131B) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 26-lecture undergraduate-level course titled "Molecular Structure & Statistical Mechanics" taught at UC Irvine by Rachel Martin, Ph.D. Recorded on February 13, 2013. Index of Topics: 0:01:42 Quiz 3: Electronic Transition 0:09:25 Diatomic Molecular Term Symbols 0:15:19 Frank-Condon Factors: Diagram 0:17:40 Dissociation Energies 0:20:57 Photoelectron Spectroscopy 0:27:38 X-Ray Crystallography Required attribution: Martin, Rachel. Molecular Structure & Statistical Mechanics 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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In analyzing fiscal issues, conventional public finance approaches focus mainly on taxation and public spending. Policymakers and practitioners rarely explore solutions by examining the fundamental problem: the failure of interested parties to act collectively to internalize the positive externalities generated by public goods. Public finance is merely one of many possible institutional arrangements for assigning the rights and responsibilities to public goods consumption. This system is currently under stress because of the financial crisis. The first part of the class will focus on collective action and its connection with local public finance. The second part will explore alternative institutional arrangements for mediating collective action problems associated with the provision of loc

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UCI Chem 131B Molecular Structure & Statistical Mechanics (Winter 2013) Lec 17. Molecular Structure & Statistical Mechanics -- NMR -- Part 2. View the complete course: http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html Instructor: Rachel Martin, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: Principles of quantum mechanics with application to the elements of atomic structure and energy levels, diatomic molecular spectroscopy and structure determination, and chemical bonding in simple molecules. Molecular Structure & Statistical Mechanics (Chem 131B) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 26-lecture undergraduate-level course titled "Molecular Structure & Statistical Mechanics" taught at UC Irvine by Rachel Martin, Ph.D. Recorded on February 20, 2013. Index of Topics: 0:02:54 Zeeman Effect 0:06:46 High Field Magnets for NMR/MRI 0:09:09 Nuclear Zeeman Effect 0:11:23 Nuclear Spin Hamiltonian 0:13:28 Relative Sizes of Interactions 0:19:01 Pulsed NMR 0:21:49 Protons Absorbing in a Predictable Region 0:37:58 Spin Quantum Number 0:40:29 Angular Momentum Operators 0:41:40 Eigenstates and Eigenvalues 0:43:35 Zeeman Basis Required attribution: Martin, Rachel. Molecular Structure & Statistical Mechanics 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra. We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee) have made to the course material.

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This course examines the fundamentals of detection and estimation for signal processing, communications, and control. Topics covered include: vector spaces of random variables; Bayesian and Neyman-Pearson hypothesis testing; Bayesian and nonrandom parameter estimation; minimum-variance unbiased estimators and the Cramer-Rao bounds; representations for stochastic processes, shaping and whitening filters, and Karhunen-Loeve expansions; and detection and estimation from waveform observations. Advanced topics include: linear prediction and spectral estimation, and Wiener and Kalman filters.

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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UCI Chem 131A Quantum Principles (Winter 2014) Lec 09. Quantum Principles -- Potentials + Quantization in Two Spatial Dimensions -- View the complete course: http://ocw.uci.edu/courses/chem_131a_quantum_principles.html Instructor: A.J. Shaka, Ph.D License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: This course provides an introduction to quantum mechanics and principles of quantum chemistry with applications to nuclear motions and the electronic structure of the hydrogen atom. It also examines the Schrödinger equation and study how it describes the behavior of very light particles, the quantum description of rotating and vibrating molecules is compared to the classical description, and the quantum description of the electronic structure of atoms is studied. Quantum Principles (Chem 131A) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 28-lecture undergraduate-level course titled "Quantum Principles" taught at UC Irvine by A.J. Shaka, Ph.D. Recorded on January 30, 2014. Index of Topics: 0:01:02 Odd, or Antisymmetric, Funcitons 0:05:57 The Morse Potential 0:18:05 The 6 - 12 Potential 0:27:28 Quantum Systems in 2D and 3D 0:28:41 Particles in a 2D Box 0:39:49 Quantum Dots 0:42:40 Degeneracy 0:44:40 Particle on a Ring Required attribution: Shaka, A.J. Quantum Principles 131A (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_131a_quantum_principles.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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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 (ODE's) 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, especially second order with constant coefficients; Undetermined coefficients and variation of parameters; Sinusoidal and exponential signals: oscillations, damping, resonance; Complex numbers and exponentials; Fourier series, periodic solutions; Delta functions, convolution, and Laplace transform methods; Matrix and first order linear systems: eigenvalues and

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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During development a single totipotent cell gives rise to the vast array of cell types present in the adult human body, yet each cell has essentially the same DNA sequence. As cells differentiate, distinct sets of genes must be coordinately activated and repressed, ultimately leading to a cell-type specific pattern of gene expression and a particular cell fate. In eukaryotic organisms, DNA is packaged in a complex protein super structure known as chromatin. Modification and reorganization of chromatin play a critical role in coordinating the cell-type specific gene expression programs that are required as a cell transitions from a pluripotent stem cell to a fully differentiated cell type. Epigenetics refers to such heritable changes that occur in chromatin without altering the primary DNA

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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UCI Chem 5 Scientific Computing Skills (Fall 2012) Lec 07. Scientific Computing Skills View the complete course: http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html Instructor: Douglas Tobias, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: This course introduces students to the personal computing software used by chemists for managing and processing of data sets, plotting of graphs, symbolic and numerical manipulation of mathematical equations, and representing chemical reactions and chemical formulas. Scientific Computing Skills (Chem 5) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 25-lecture undergraduate-level course titled "Scientific Computing Skills" taught at UC Irvine by Professor Douglas Tobias. Recorded October 15, 2012. Index of Topics: 0:00:59 Multivariable Function 0:02:04 3D Plot 0:24:23 Changing the Point of View 0:28:41 Contour Plot 0:35:23 Legend for Contour Plot 0:47:34 Changing Contour Style Required attribution: Tobias, Douglas Ph.D. Chemistry 5 (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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The class will explore the obstacles to achieving sustainability; in particular, the difficulties of managing common resources, achieving transboundary pollution control, making tradeoffs between economic and social development needs and environmental resource protection, and harmonizing environmental protection standards. At their core, these problems must be addressed through international or multi-lateral negotiations. We will focus especially on problems of representation and voting, issue linkage, balancing science and politics, and monitoring and enforcement in negotiations of these kinds. We will also examine these issues in light of actual treaty negotiations especially the on-going efforts to implement the Climate Change Convention. The class will operate as a research seminar. Ea

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This course provides a substantive overview of U.S. politics and an introduction to the discipline of political science. It surveys the institutional foundations of U.S. politics as well as the activities of political elites, organizations, and ordinary citizens. It also explores the application of general political science concepts and analytic frameworks to specific episodes and phenomena in U.S. politics.

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Discerning the ethnic and racial dimensions of politics is considered by some indispensable to understanding contemporary world politics. This course seeks to answer fundamental questions about racial and ethnic politics. To begin, what are the bases of ethnic and racial identities? What accounts for political mobilization based upon such identities? What are the political claims and goals of such mobilization and is conflict between groups and/or with government forces inevitable? How do ethnic and racial identities intersect with other identities, such as gender and class, which are themselves the sources of social, political, and economic cleavages? Finally, how are domestic ethnic/racial politics connected to international human rights? To answer these questions, the course begins with

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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UCI Chem 5 Scientific Computing Skills (Fall 2012) Lec 10. Scientific Computing Skills View the complete course: http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html Instructor: Douglas Tobias, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: This course introduces students to the personal computing software used by chemists for managing and processing of data sets, plotting of graphs, symbolic and numerical manipulation of mathematical equations, and representing chemical reactions and chemical formulas. Scientific Computing Skills (Chem 5) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 25-lecture undergraduate-level course titled "Scientific Computing Skills" taught at UC Irvine by Professor Douglas Tobias. Recorded October 22, 2012. Index of Topics: 0:00:22 Root Mean Square Speed Example 0:31:29 Equation Solving 0:39:25 General Cubic Equation Example Required attribution: Tobias, Douglas Ph.D. Chemistry 5 (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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UCI Chem 131B Molecular Structure & Statistical Mechanics (Winter 2013) Lec 04. Molecular Structure & Statistical Mechanics -- Group Theory Applications. View the complete course: http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html Instructor: Rachel Martin, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info. More courses at http://ocw.uci.edu Description: Principles of quantum mechanics with application to the elements of atomic structure and energy levels, diatomic molecular spectroscopy and structure determination, and chemical bonding in simple molecules. Molecular Structure & Statistical Mechanics (Chem 131B) is part of OpenChem: http://ocw.uci.edu/collections/open_chemistry.html This video is part of a 26-lecture undergraduate-level course titled "Molecular Structure & Statistical Mechanics" taught at UC Irvine by Rachel Martin, Ph.D. Recorded on January 14, 2013. Index of Topics: 0:00:07 Bonding 0:15:38 Which Orbitals Form the Sigma Bond? 0:20:44 Which Orbitals Can Form Pi Bonds? 0:26:53 Out of Plane 0:28:57 Which Orbitals Can Form Pi Bonds - Consider the In-Plane Set 0:31:13 In-Plane Required attribution: Martin, Rachel. Molecular Structure & Statistical Mechanics 131B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/chem_131b_molecular_structure_and_elementary_statistical_mechanics.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/us/deed.en_US).

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Introduction to Media Studies is designed for students who have grown up in a rapidly changing global multimedia environment and want to become more literate and critical consumers and producers of culture. Through an interdisciplinary comparative and historical lens, the course defines "media" broadly as including oral, print, theatrical, photographic, broadcast, cinematic, and digital cultural forms and practices. The course looks at the nature of mediated communication, the functions of media, the history of transformations in media and the institutions that help define media's place in society. Over the course of the semester we explore different theoretical perspectives on the role and power of media in society in influencing our social values, political beliefs, identities

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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This course focuses on evolution of contemporary politics and economics. The subject is divided into four parts: Context: historical and strategic perspectives, theoretical issues, and sources and forms of conflict; Continuity: detailed analysis conflicts systems and their persistence, as well as regional competition and recent wars – focusing on specific countries and cases; Complexity: highlighting situation specific strategic gains and losses; and Convergence: focusing future configurations of conflict and cooperation. Throughout the course, special attention is given to sources and transformations of power, population dynamics and migration, resources and energy, as well as implications of technological change.

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Recorded April 29, 2013. Bruce Y. Lee, MD, MBA is Associate Professor of Medicine and Biomedical Informatics at the University of Pittsburgh and Core Faculty for the RAND-University of Pittsburgh Health Institute. At the University of Pittsburgh, he founded and directs the Public Health and Infectious Diseases Computational and Operations Research (PHICOR) group that specializes in designing economic, and operational computer models that help decision makers tackle infectious diseases of global importance. He is the Scientific Lead for the HERMES Project and the RHEA Project. His current funding includes grants from the Bill and Melinda Gates Foundation, the National Institutes of Health (NIH), Centers for Disease Control and Prevention (CDC), National Science Foundation (NSF), National Library of Medicine (NLM), and the Pennsylvania Department of Health. His previous positions include serving as Senior Manager at Quintiles Transnational where he led teams that developed economic and operational models for a variety of clients in the pharmaceutical, biotechnology, and medical device industries, working in biotechnology equity research at Montgomery Securities, and co-founding Integrigen, a biotechnology/bioinformatics company. Dr. Lee has authored over 150 scientific publications (including over 80 first author and over 35 last author) as well as three books: "Principles and Practice of Clinical Trial Medicine", "What If... ? : Survival Guide for Physicians, and "Medical Notes : Clinical Medicine Pocket Guide". Dr. Lee is an Associate Editor for Vaccine and Area Editor for Wiley Series on Modeling and Simulation. He and his work have garnered attention in leading media outlets such as the New York Times, Los Angeles Times, Businessweek, U.S. News and World Report, Nature Medicine, and National Public Radio (NPR). Dr. Lee received his B.A. from Harvard University, M.D. from Harvard Medical School, and M.B.A. from the Stanford Graduate School of Business. He is board-certified in Internal Medicine, having completed his residency training at the University of California, San Diego.

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The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theori

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The main goal of this course is to give the students a solid foundation in the theory of elliptic and parabolic linear partial differential equations. It is the second semester of a two-semester, graduate-level sequence on Differential Analysis.

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