Welcome and introduction to Week 1
Geometric vectors - part 1
Geometric vectors - part 2
Hat notation and parallel vectors
Position vectors and components
Linear independence for two vectors
Dot product of two vectors
Projections and orthogonal components
Cross products of two vectors - part 1
Cross products of two vectors - part 2
How to navigate this MOOC
Overview of assessments and activities
Geometric vectors - part 1
Geometric vectors - part 2
Hat notation and parallel vectors
Position vectors and components
Linear independence for two vectors
Dot product of two vectors
Projections and orthogonal components
Cross products of two vectors - part 1
Cross products of two vectors - part 2
Geometric vectors - part 1
Geometric vectors - part 2
Hat notation and parallel vectors
Position vectors and components
Linear independence for two vectors
Dot product of two vectors
Projections and orthogonal components
Cross products of two vectors - part 1
Cross products of two vectors - part 2
Week 1 - Geometric vectors in the plane and in space
Systems of linear equations (a)
Systems of linear equations (b)
Systems of linear equations
Systems of linear equations
Week 2 - Lines and planes in space and systems of linear equations
Matrix addition and scalar multiplication
Matrix multiplication (a)
Matrix multiplication (b)
Matrix operations continued (a)
Matrix operations continued (b)
Matrix addition and scalar multiplication
Matrix operations continued
Matrix addition and scalar multiplication
Week 3 - Matric arithmetic and the theory of determinants
Eigenvalues and eigenvectors (a)
Eigenvalues and eigenvectors (b)
Introduction to stochastic matrices (a)
Introduction to stochastic matrices (b)
Introduction to linear transformations (a)
Introduction to linear transformations (b)
Introduction to linear transformations (c)
The fundamental theorem of algebra
Eigenvalues and eigenvectors
Introduction to stochastic matrices
Introduction to linear transformations
The fundamental theorem of algebra
Eigenvalues and eigenvectors
Introduction to stochastic matrices
Introduction to linear transformations
Week 4 - Eigentheory and diagonalisation