Difference between revisions of "ModelCourses/Linear Algebra"

From WeBWorK_wiki
Jump to navigation Jump to search
Line 1: Line 1:
= Working page for the Linear Algebra group at PREP 2011 =
+
= Model Courses/ Linear Algebra =
   
 
== Preliminary Topic List - 2011-06-23 ==
 
== Preliminary Topic List - 2011-06-23 ==
Line 53: Line 53:
 
* [[User:Charles Fortin|Charles Fortin]]
 
* [[User:Charles Fortin|Charles Fortin]]
 
* [[User:Malcolm|Malcolm Harper]]
 
* [[User:Malcolm|Malcolm Harper]]
  +
  +
  +
[[ModelCourses/Instructions for importing problem sets|Instructions for importing problem sets]]
  +
  +
[[ModelCourses/Instructions for exporting problem sets|Instructions for exporting problem sets]]
   
 
=[[ModelCourses|Other Model Courses]]=
 
=[[ModelCourses|Other Model Courses]]=

Revision as of 13:09, 21 December 2011

Model Courses/ Linear Algebra

Preliminary Topic List - 2011-06-23

  • Vectors
    • Geometric objects - lines and planes
    • Dot product and Vector Projections
    • Orthogonal decomposition
  • Systems of equations and elimination
    • Row operations and Row Echelon Form
    • Gaussian elimination (Free variables & Consistency of solutions)
  • Matrix operations and algebra
    • Matrix arithmetic
    • Matrix inverse
    • Matrix equations
    • Determinant and Cramer's Rule
    • Elementary matrices and LU Decomposition
  • Vector space preliminaries
    • Definition of a vector space and subspaces
    • Euclidean vector spaces
    • Linear combinations and span
    • Linear independence
    • Basis and orthogonal basis
    • Coordinate vectors and change of basis
    • Row space, column space, and null space
    • Dimension and rank
    • Geometric examples
  • Linear transformations
    • Definition of a linear transformation
    • Matrix of a linear transformation
    • Reflections, rotations, dilations and projections
    • Inverse of a transformation
    • Kernel, range, injection, surjection
  • Applications
    • Graph theory: Adjacency matrix and Incidence Matrix
    • Least squares
    • Curve/surface fitting
    • Mixture problems
    • Simplex method
    • Approximation of a function by a Fourier polynomial
  • Eigenvalues and eigenvectors
    • Finding eigenvalues and eigenvectors
    • Eigenspaces
    • Diagonalization
    • Symmetric matrices & Trace
    • Quadratic forms
  • Inner product spaces and abstract vector spaces

Working group members


Instructions for importing problem sets

Instructions for exporting problem sets

Other Model Courses