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MATH 136 Linear Algebra

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This MATH 136 Linear Algebra course mainly covers the matrix theory and linear algebra, focusing on numerous topics helpful in diverse disciplines. The course is basically the branch of mathematics that studies systems of linear equations along with the properties of matrices. The concepts of linear algebra are quite helpful in physics, natural sciences, economics and social sciences, and engineering.

The students who successfully complete the course will be capable to:

  • Formulate, resolve, implement, and interpret systems of linear equations in diverse variables.
  • Calculate with and categorize matrices.
  • Master the basic concepts of the abstract vector spaces.
  • Decompose linear transformations and examine their spectra (eigenvectors and eigenvalues);
  • Make use of length and orthogonality in each of the above contexts.
  • Implement the orthogonal projection to optimization (i.e. least-squares) problems.

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