Linear Algebra and Geometry I

5 credits

Syllabus, Bachelor's level, 1MA025

A revised version of the syllabus is available.
Education cycle
First cycle
Main field(s) of study and in-depth level
Mathematics G1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 15 June 2012
Responsible department
Department of Mathematics

Entry requirements

Basic Course in Mathematics

Learning outcomes

In order to pass the course (grade 3) the student should be able to

  • solve systems of linear equations using Gaussian elimination and be able to explain the relation between solvability and rank;
  • use matrix algebra, in particular know how to compute the inverse of a matrix, and know how to compute determinants, and be able to interpret m×n matrices as linear transformations from Rn to Rm;
  • explain the basic properties of two- and three-dimensional vectors, master elementary vector algebra, decide if vectors are linearly independent, and be familiar with the concepts of basis and coordinates;
  • give an account of the concepts of scalar product and vector product, know how to compute such products and how to interpret them geometrically;
  • determine the equations for a line and a plane and how to use these for computing intersections and distances;
  • define rotations, reflexions and orthogonal projections in two and three dimensions and be able to compute their matrices;
  • formulate important results and theorems covered by the course;
  • use the theory, methods and techniques of the course to solve mathematical problems;
  • present mathematical arguments to others.


Linear systems of equations: Gaussian elimination, rank, solvability. Matrices: matrix algebra and matrix inverse. Determinants. Vector algebra, linear dependence and independence, bases, coordinates, scalar product and vector product, equations for lines and planes, distance, area and volume. Description of rotations, reflections and orthogonal projections in R2 and R3. The linear space Rn and m×n matrices as linear transformations from Rn to Rm. The standard scalar product on Rn and the Cauchy-Schwarz inequality.


Lectures, problem solving sessions and team-working.


Written examination at the end of the course. Moreover, compulsory assignments may be given during the course according to instructions delivered at course start.

Other directives

The course can not be included in higher education qualification together with the course Algebra and vector geometry.