The spring semester 2021 will certainly take place online until Easter. Exceptions: Courses that can only be carried out with on-site presence. Please note the information provided by the lecturers.
Introduction to linear algebra (vector spaces, linear transformations, matrices) , matrix decompositions (LU, QR, eigenvalue, and singular value decomposition).
Objective
Die Lernziele sind: - die fundamentalen Konzepte der linearen Algebra gut zu verstehen - Anwendungen der linearen Algebra in der Informatik kennenzulernen
Content
Linear Algebra: Linear systems of equations, vectors and matrices, norms and scalar products, LU decomposition, vector spaces and linear transformations, least squares problems, QR decomposition, determinants, eigenvalues and eigenvectors, singular value decomposition, applications.
Lecture notes
Lecture notes "Linear Algebra" (Gutknecht) in German, with English expressions for all technical terms.
Prerequisites / Notice
The relevant high school material is reviewed briefly at the beginning.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
In examination block for
Bachelor's Programme in Computer Science 2008; Version 24.02.2016 (Examination Block) Bachelor's Programme in Computer Science 2016; Version 25.02.2020 (First Year Examination Block 1)
The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination
written 120 minutes
Written aids
12 A4-Seiten handgeschriebene Notizen; kein Taschenrechner.
If the course unit is part of an examination block, the credits are allocated for the successful completion of the whole block. This information can be updated until the beginning of the semester; information on the examination timetable is binding.
Performance assessment as a semester course