Linear Algebra

• Solving systems of linear equations (using Gaussian elimination)

• Vectors in R^n

• Linear dependence/independence

• Matrix algebra (sum, product, inverse)

• LU decomposition of a matrix

• Lineare transformations

• Subspaces in R^n (basis, dimension); column space and null space

• Determinants

• Eigenvalues and eigenvectors

• Diagonalization

• Inner products and orthogonal sets

• Orthogonal projections

• Method of least squares and linear models

• Symmetric matrices

The final score F is calculated as follow:

IF the midterm score M is higher than the score E for the endterm AND E >= 5.0

THEN F = 0.20 M + 0.80 E

ELSE F = E

All grades are rounded to 1 decimal place.

Note that the midterm is not mandatory (and cannot be resited).

For the resit the midterm is not relevant anymore.

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 29, sub 4)