mat955 Mathematics of Computer Science (Linear Algebra) (Course overview)

mat955 Mathematics of Computer Science (Linear Algebra) (Course overview)

Department of Mathematics 6 KP
Module components Semester courses Wintersemester 2022/2023 Examination
Lecture
  • 5.01.956 - Vorlesung Lineare Algebra für Informatiker Lehrende anzeigen
    • Prof. Dr. Andreas Stein
    Termine anzeigen
    • Wednesday, 10:15 - 11:45, Weekly (from 19.10.22)
    • Wednesday, 21.12.22, 17:00 - 20:00 o'clock
    • Tuesday, 07.02.23, 10:00 - 13:00 o'clock
    • Wednesday, 15.02.23, 10:00 - 13:00 o'clock
    • Friday, 17.02.23, 15:00 - 18:00 o'clock
    • Thursday, 23.02.23, 10:00 - 13:00 o'clock
    • Friday, 24.02.23, 09:00 - 11:30 o'clock
    • Friday, 24.02.23, 09:00 - 11:30 o'clock
    • Tuesday, 28.02.23, 14:00 - 15:30 o'clock
    • Tuesday, 28.03.23, 10:00 - 13:00 o'clock
    • Friday, 31.03.23, 10:00 - 13:00 o'clock
    • Monday, 03.04.23, 10:00 - 13:00 o'clock
    • Thursday, 06.04.23, 10:00 - 12:30 o'clock
    • Wednesday, 12.04.23, 16:15 - 17:45 o'clock
Exercises
Hinweise zum Modul
Module examination
written exam or oral exam.

Bonus points can be earned.
Skills to be acquired in this module
• Getting to know and to understand the axiomatic structure of mathematics and the importance of mathematical reasoning
• Mastering basic mathematical proof techniques and their logical structure
• Recognizing the relevance of premises in mathematical theorems: Localization of premises within proofs and possible consequences if premises are not met
• Learning the significant ideas and methods of linear algebra
• Mastering the fundamental concepts of algebra, such as groups, rings, fields
• Mastering the fundamental concepts and significant methods of linear algebra, such as systems of linear equations, Gaussian algorithm, vector spaces, dimension, linear maps, matrices, determinants
• Mastering of further notions and methods of linear algebra, e.g. eigenvectors, eigenvalues, diagonalization