Linear Algebra

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Linear Algebra

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Algebra

  • Language Level

    Taught In English

  • Prerequisites

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators. We advise each institution to have their own credentials evaluator make the final decision regarding course levels.

  • Course Level Recommendations

    Lower

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Course Objective
    After successfully completing this course, the student
    - has a working knowledge of the concepts of matrix algebra and finite-dimensional linear algebra, such as echelon form, LU-decomposition, linear independence and determinants;
    - is familiar with the general theory of finite-dimensional vector spaces, in particular with the concepts of basis and dimension;
    - is familiar with the concepts of eigenvalues and eigenvectors, diagonalization and singular value decomposition and can apply these concepts in basic applications in discrete time dynamical systems;
    - has working knowledge of the concepts of inner product spaces and matrices acting in inner product spaces, including orthogonal projections and diagonalization of symmetric matrices.

    Course Content
    - systems of linear equations
    - linear (in)dependence
    - linear transformations and matrices
    - matrix operations
    - determinants
    - vector spaces and subspaces
    - basis and dimension
    - rank of a matrix, dimension theorem
    - coordinate systems and change of basis
    - eigenvalues and eigenvectors
    - diagonalization of matrices
    - inner product, length and orthogonality
    - orthogonal bases and least-squares problems
    - diagonalization of symmetric matrices
    - singular value decomposition

    Teaching Methods
    2 lectures and 1 exercise class per week

    Type of Assessment
    Four small tests (20 percent, only the best three are taken into account), a midterm exam (40 percent) and a final exam (40 percent). There is a resit. For students taking the resit the final grade is
    determined by the maximum of 0.2 times the average of the best three tests plus 0.8 times the result of the resit, and just the resit.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.

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