2018–19–B

Dr. Natalia Karpivnik

Course topics

  1. Introduction: the real and complex numbers, polynomials.
  2. Systems of linear equations and Gauss elimination.
  3. Vector spaces: examples (Euclidean 2-space and 3-space, function spaces, matrix spaces), basic concepts, basis and dimension of a vector space. Application to systems of linear equations.
  4. Inverse matrices, the determinant, scalar products.
  5. Linear transformations: kernel and image, the matrix representation of a transformation, change of basis.
  6. Eigenvalues, eigenvectors and diagonalization.

University course catalogue: 201.1.9281

Students' Issues

Class Representative
אריאל פיינזנילברג
Aguda Representative
רכזת סיוע אקדמי - מדעי הטבע - אביטל פיימן
Staff Observers