Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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  • Info on Degree Programmes
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Mathematics
  • Course Structure Diagram with Credits
  • Linear Algebra II
  • Learning Outcomes
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

  • express the set of vectors in euclidean spaces is a vector space.
  • express addition and scalar mutiplication operations.
  • express some properties of addition and scalar mutiplication operations.
  • express the set of vectors in euclidean spaces is a vector space.
  • generalize the concepts of a real (complex) vector space to an arbitrary finite-dimensional vector space.
  • define a vector space and subspace of a vector space.
  • explain properties of R^n and subspaces of R^n.
  • determine whether a subset of a vector space is linear dependent.
  • describe the concept of a basis for a vector space.
  • investigate properties of vector spaces and subspaces using by linear transformations.
  • express linear transformation between vector spaces.
  • represent linear transformations by matrices.
  • explain what happens to representing matrices when the ordered basis is changed.
  • describe the concepts of eigenvalue, eigenvector and characteristc polynomial.
  • determine whether a linear transformation is diagonalizable or not.
  • generalize the concept of a real (copmlex) inner product space to an arbitrary inner product space.
  • express the concepts of an inner product space and an orthonormal basis.
  • apply the gram-schmidt process to construct an orthonormal basis for a space.
  • analyse diagonalizable for symmetric and hermitian transformations.
  • explain the concept of quadratic form.

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