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036 full-course 36 Computational Science and Engineering 2008-09-01 Fall 2008 Gilbert Strang MIT
Study linear algebra, differential equations, Fourier series, Fourier transform, and more in Computational Science and Engineering.
036 full-course 36 Computational Science and Engineering I 2008-09-01 Fall 2008 Gilbert Strang Massachusetts Institute of Technology
Through this course students review various principles and applications of linear algebra.
035 video 35 Linear Algebra 2009-06-01 Summer 2009 Gilbert Strang MIT
This course offers students basic instruction in matrix theory and linear algebra. Topics covered include vector spaces, determinants, eigenvalues, matrices, and systems of equations.
000 full-course Linear Algebra 2011-09-01 Fall 2011 Gilbert Strang Massachusetts Institute of Technology
In this course students learn about matrix theory and linear algebra.
040 full-course 40 Linear Algebra 2010-03-01 Spring 2010 Gilbert Strang Massachusetts Institute of Technology
This course covers the basics of matrix theory and linear algebra.
040 full-course 40 Linear Algebra 2010-03-01 Spring 2010 Gilbert Strang MIT
In this course, you can learn about the basics of matrix theory and linear algebra, with emphasis on topics that are useful beyond algebra, including vector spaces, systems of equations, and determinants.
013 full-course 13 Mathematical Methods for Engineers 2006-03-01 Spring 2006 Gilbert Strang MIT
Understand the math of engineering with this course from MIT, covering numerical methods, initial-value problems, network flows, and optimization.
013 full-course 13 Mathematical Methods for Engineers II 2006-03-01 Spring 2006 Gilbert Strang Massachusetts Institute of Technology
Intended to follow Mathematical Methods for Engineers I, this graduate-level course explores numerical methods, initial-value problems, network flows, and optimization.
001 full-course 1 Wavelets, Filter Banks and Applications 2003-03-01 Spring 2003 Gilbert Strang Massachusetts Institute of Technology
In this class, students learn how to use wavelets to represent short term events.