Inhalt

[ 320MAUEMLIK23 ] KV Overview of Mathematics: Linear algebra

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Mathematics Gerhard Larcher 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Fundamentals of Natural Sciences for Technology 2025W
Learning Outcomes
Competences
Students learn how to apply linear algebra to solve geometric problems and get familiar with mathematical notation, abstraction and logic.

Skills Knowledge
Students learn the following skills

  • Solving linear equations using Gaussian elimination (k3).
  • Solving problems involving planes, lines and their rotations and

reflections (k2,k3).

  • Computing determinants, inverses, eigenvalues and eigenvectors of

matrices (k3).

  • Determining whether a set of vectors is linear independent (k3).
  • Analysis and construction of linear maps between vector spaces and

in particular rotations and reflections (k3).

  • Familiarity with the notion of abstraction (for example the

definition of a vector space in terms of axioms) (k1,k3).

  • Using mathematical notation for solving problems involving

parameters instead of solving just one concrete example (k2,k3).

Students learn the following concepts from linear algebra.

  • Vectors algebra including orthogonal projection of vectors and the

cross product.

  • Parametric and implicit representation of lines and planes in

3-dimensional space.

  • Matrix operations including matrix inverse and determinant.
  • Vector spaces and their bases.
  • Linear maps and their representation in terms of matrices.
  • Eigenvectors and eigenvalues.
Criteria for evaluation oral or written exam (to be determined by the lecturer at the beginning of the semester)
Language English
Changing subject? No
Corresponding lecture (*)ist gemeinsam mit 320MAUEMANK23: KV Überblick Mathematik: Analysis (3 ECTS) und 320MAUEMWHK23: Überblick Mathematik: Wahrscheinlichkeitstheorie (3 ECTS) äquivalent zu
320MAGREUMU18: Einführungsübungen Mathematik (3 ECTS) + 320MAGRUM1V18: VL Überblick Mathematik I (2 ECTS) + 320MAGRUM2V18: VL Überblick Mathematik II (2 ECTS) + 320MAGRUM3V18: VL Überblick Mathematik III (2 ECTS)
On-site course
Maximum number of participants 25
Assignment procedure Assignment according to priority