Linear Algebra

Short Name
Lineare Algebra
Module Code
Module Coordinator
  • Prof. Dr. Bettina Just
  • Prof. Dr. Andreas Bolsch
  • Prof. Dr. Bettina Just
  • Prof. Dr. Frank Recker
Short Description
Treatment of applied topics of linear algebra like vector algebra, linear geometry, systems of linear equations, matrices, determinants, eigenvalues and eigenvectors.
Learning Objectives

Students know fundamental concepts and methods of linear algebra and can apply them. They have mastered the operations of vector algebra and their applications to linear geometry; they know the behaviour of the solutions of systems of linear equations and are able to compute the solutions; they can do basic calculations with matrices and determinants including finding eigenvalues and eigenvectors. They know applications in computer science.

For a lecture that requires a lot of preparation and follow-expenditure in addition to the attendance time, the students are able to organize in study groups independently.

  • vector algebra
  • linear geometry
  • systems of linear equations
  • matrices, determinants
  • eigenvalues and eigenvectors
Duration in Semester
Instruction Language
Total Effort
6.0 CrP; an estimated 180 hours, of which approximately 60 are spent in class.
Weekly School Hours
Method of Instruction

Lecture 2 SWS, exercises 2 SWS

Requirements for the awarding of Credit Points

Examination prerequisite: 2 accepted pieces of homework

Examination: Written exam

Evaluation Standard
according to examination regulations (§ 9)
  • G. Teschl, S. Teschl: Mathematik für Informatiker, Band 1 Springer-Verlag
  • G. Strang: Lineare Algebra Springer-Verlag (englisch bei Wellesley-Cambridge Press)
  • G. Schay; A Concise Introduction to Linear Algebra, Birkhäuser Verlag
Prerequisite Modules