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		<title>MIT OpenCourseWare: New Courses in Mathematics</title>
		<description>New courses in Mathematics from MIT OpenCourseWare, provider of free and open MIT course materials.</description>
		<link>http://ocw.mit.edu/courses/mathematics</link>
		<dc:date>2012-05-24T10:22:31+05:00</dc:date>
		<dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher>
		<dc:language>en-US</dc:language>
		<dc:rights>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 http://ocw.mit.edu/terms/index.htm</dc:rights>
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		<title>18.03SC Differential Equations (MIT)</title>
		<description>The laws of nature are expressed as differential equations. Scientists and engineers must know how to model the world in terms of differential equations, and how to solve those equations and interpret the solutions. This course focuses on the equations and techniques most useful in science and engineering.&lt;br clear=&quot;both&quot; style=&quot;clear: both;&quot;/&gt;
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		<pheedo:origLink>http://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011</pheedo:origLink>
		<dc:creator>Mattuck, Arthur</dc:creator>
		<dc:creator>Miller, Haynes</dc:creator>
		<dc:creator>Orloff, Jeremy</dc:creator>
		<dc:creator>Lewis, John</dc:creator>
		<dc:date>2012-02-08T14:08:08+05:00</dc:date>
		<dc:relation>18.03SC</dc:relation>
		<dc:language>en-US</dc:language>
		<dc:subject>Ordinary Differential Equations</dc:subject>
		<dc:subject>ODE</dc:subject>
		<dc:subject>modeling physical systems</dc:subject>
		<dc:subject>first-order ODE's</dc:subject>
		<dc:subject>Linear ODE's</dc:subject>
		<dc:subject>second order ODE's</dc:subject>
		<dc:subject>second order ODE's with constant coefficients</dc:subject>
		<dc:subject>Undetermined coefficients</dc:subject>
		<dc:subject>variation of parameters</dc:subject>
		<dc:subject>Sinusoidal signals</dc:subject>
		<dc:subject>exponential signals</dc:subject>
		<dc:subject>oscillations</dc:subject>
		<dc:subject>damping</dc:subject>
		<dc:subject>resonance</dc:subject>
		<dc:subject>Complex numbers and exponentials</dc:subject>
		<dc:subject>Fourier series</dc:subject>
		<dc:subject>periodic solutions</dc:subject>
		<dc:subject>Delta functions</dc:subject>
		<dc:subject>convolution</dc:subject>
		<dc:subject>Laplace transform methods</dc:subject>
		<dc:subject>Matrix systems</dc:subject>
		<dc:subject>first order linear systems</dc:subject>
		<dc:subject>eigenvalues and eigenvectors</dc:subject>
		<dc:subject>Non-linear autonomous systems</dc:subject>
		<dc:subject>critical point analysis</dc:subject>
		<dc:subject>phase plane diagrams</dc:subject>
		<dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher>
		<dc:rights>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 http://ocw.mit.edu/terms/index.htm</dc:rights>
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		<title>18.06SC Linear Algebra (MIT)</title>
		<description>This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.&lt;br clear=&quot;both&quot; style=&quot;clear: both;&quot;/&gt;
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		<dc:creator>Strang, Gilbert</dc:creator>
		<dc:date>2012-01-24T16:18:50+05:00</dc:date>
		<dc:relation>18.06SC</dc:relation>
		<dc:language>en-US</dc:language>
		<dc:subject>matrix theory</dc:subject>
		<dc:subject>linear algebra</dc:subject>
		<dc:subject>systems of equations</dc:subject>
		<dc:subject>vector spaces</dc:subject>
		<dc:subject>determinants</dc:subject>
		<dc:subject>eigenvalues</dc:subject>
		<dc:subject>similarity</dc:subject>
		<dc:subject>positive definite matrices</dc:subject>
		<dc:subject>least-squares approximations</dc:subject>
		<dc:subject>stability of differential equations</dc:subject>
		<dc:subject>networks</dc:subject>
		<dc:subject>Fourier transforms</dc:subject>
		<dc:subject>Markov processes</dc:subject>
		<dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher>
		<dc:rights>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 http://ocw.mit.edu/terms/index.htm</dc:rights>
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		<title>18.024 Multivariable Calculus with Theory (MIT)</title>
		<description>This course is a continuation of 18.014. It covers the same material as 18.02 (Multivariable Calculus), but at a deeper level, emphasizing careful reasoning and understanding of proofs. There is considerable emphasis on linear algebra and vector integral calculus.&lt;br clear=&quot;both&quot; style=&quot;clear: both;&quot;/&gt;
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		<dc:creator>Breiner, Christine</dc:creator>
		<dc:date>2011-12-08T10:51:15+05:00</dc:date>
		<dc:relation>18.024</dc:relation>
		<dc:language>en-US</dc:language>
		<dc:subject>linear algebra</dc:subject>
		<dc:subject>vector integral calculus</dc:subject>
		<dc:subject>Calculus of several variables</dc:subject>
		<dc:subject>Vector algebra in 3-space</dc:subject>
		<dc:subject>determinants</dc:subject>
		<dc:subject>matrices</dc:subject>
		<dc:subject>Vector-valued functions of one variable</dc:subject>
		<dc:subject>space motion</dc:subject>
		<dc:subject>Scalar functions of several variables</dc:subject>
		<dc:subject>partial differentiation</dc:subject>
		<dc:subject>gradient</dc:subject>
		<dc:subject>optimization techniques</dc:subject>
		<dc:subject>Double integrals and line integrals in the plane</dc:subject>
		<dc:subject>exact differentials and conservative fields</dc:subject>
		<dc:subject>Green's theorem and applications</dc:subject>
		<dc:subject>triple integrals</dc:subject>
		<dc:subject>line and surface integrals in space</dc:subject>
		<dc:subject>Divergence theorem</dc:subject>
		<dc:subject>Stokes' theorem</dc:subject>
		<dc:subject>applications</dc:subject>
		<dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher>
		<dc:rights>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 http://ocw.mit.edu/terms/index.htm</dc:rights>
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		<title>18.440 Probability and Random Variables (MIT)</title>
		<description>This course introduces students to probability and random variables. Topics include distribution functions, binomial, geometric, hypergeometric, and Poisson distributions. The other topics covered are uniform, exponential, normal, gamma and beta distributions; conditional probability; Bayes theorem; joint distributions; Chebyshev inequality; law of large numbers; and central limit theorem.&lt;br clear=&quot;both&quot; style=&quot;clear: both;&quot;/&gt;
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		<link>http://www.pheedcontent.com/click.phdo?i=68004b6f75be7b212d9d7049b48fd8b5</link>
		<pheedo:origLink>http://ocw.mit.edu/courses/mathematics/18-440-probability-and-random-variables-spring-2011</pheedo:origLink>
		<dc:creator>Sheffield, Scott</dc:creator>
		<dc:date>2011-12-07T11:34:46+05:00</dc:date>
		<dc:relation>18.440</dc:relation>
		<dc:language>en-US</dc:language>
		<dc:subject>Probability spaces</dc:subject>
		<dc:subject>random variables</dc:subject>
		<dc:subject>distribution functions</dc:subject>
		<dc:subject>Binomial</dc:subject>
		<dc:subject>geometric</dc:subject>
		<dc:subject>hypergeometric</dc:subject>
		<dc:subject>Poisson distributions</dc:subject>
		<dc:subject>Uniform</dc:subject>
		<dc:subject>exponential</dc:subject>
		<dc:subject>normal</dc:subject>
		<dc:subject>gamma and beta distributions</dc:subject>
		<dc:subject>Conditional probability</dc:subject>
		<dc:subject>Bayes theorem</dc:subject>
		<dc:subject>joint distributions</dc:subject>
		<dc:subject>Chebyshev inequality</dc:subject>
		<dc:subject>law of large numbers</dc:subject>
		<dc:subject>and central limit theorem</dc:subject>
		<dc:publisher>MIT OpenCourseWare http://ocw.mit.edu</dc:publisher>
		<dc:rights>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 http://ocw.mit.edu/terms/index.htm</dc:rights>
	</item>
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