Course Highlights
  • Apply the dot product and cross product.
  • Describe lines, planes and their intersections.
  • Solve systems of linear equations and describe the solution set.
  • Decide whether vectors are linear dependent or not.
  • Recognize linear subspaces, describe elements of linear subspaces using bases and coordinates.
  • Calculate projections and orthogonal decompositions of vectors.
  • Find least-square solutions of a system of linear equations and apply it to regression.
Curriculum

4 Topics
calculating with vectors
the dot product
the cross product
lines and planes

3 Topics
systems of equations
solving systems of equations
structure of the solutions set

3 Topics
linear combinations
linear dependence
relations between concepts

4 Topics
What are linear subspaces?
basis and coordinates
dimension
the rank theorem

5 Topics
orthogonal sets
orthogonal projections
the Gram-Schmidt algorithm
orthogonal complements
transposition

3 Topics
"solving” an inconsistent system
normal equations
application to regression

  Write a Review

DelftX: Linear Algebra I: Vectors and Linear Equations

Go to Paid Course