Linear Algebra


Recommended prerequisite for participation in the module

The module builds on knowledge from the module Calculus.

Content, progress and pedagogy of the module

Learning objectives


  • Vectors, matrices and systems of linear equations
  • Connections between solution of systems of linear equations, associated matrices and operations on those
  • Linear independence and dimension.
  • Eigenvalues and eigenvectors
  • The connection between properties of a matrix and of the echelon form of it
  • Linear programming: Possibilities and limitations
  • The least square method and the connetion to orthogonal projection. Orthogonal and symmetric matrices.


  • Matrix-vector product, product and sum of matrices. Row operations. Gauss elimination.
  • Eigenvalues and eigenspaces.
  • Solution of a system of linear equations on vector form.
  • Bases of subspaces associated with a matrice.
  • The simplex method. Converting to standard form.
  • The least square method on a data set.


Can apply methods and concepts from linear algebra, including linear programming and orthogonal projections to given problems relevant to the study programme.

Type of instruction

Lectures, exercises, videos, quiz, digitalised self-study, workshops on calculus problems relevant to the study programme.

Extent and expected workload

Since it is a 5 ECTS course, the work load is expected to be 150 hours for the student.



Name of examLinear Algebra
Type of exam
Written or oral exam
Permitted aidsDer henvises til den pågældende semesterbeskrivelse/modulbeskrivelse"
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleLineær algebra
Module codeMATLIA1257GB
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Esbjerg
Responsible for the module


Education ownerBachelor of Science (BSc) in Engineering (Chemical Engineering and Biotechnology)
Study BoardStudy Board of Mathematical Sciences
DepartmentDepartment of Mathematical Sciences
FacultyThe Faculty of Engineering and Science