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
- Prof. Dr. Andreas Stein
Wednesday: 10:15 - 11:45, weekly (from 19/10/22), Location: W03 1-161
Dates on Wednesday, 21.12.2022 17:00 - 20:00, Tuesday, 07.02.2023, Wednesday, 15.02.2023 10:00 - 13:00, Friday, 17.02.2023 15:00 - 18: ...(more), Location: W03 1-156, W01 0-015, A14 1-101 (Hörsaal 1) (+3 more)

Exercises

5.01.957-ü1 - Übung-1 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 12:15 - 13:45, weekly (from 24/10/22)
5.01.957-ü2 - Übung-2 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 10:15 - 11:45, weekly (from 24/10/22)
5.01.957-ü3 - Übung-3 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 10:15 - 11:45, weekly (from 24/10/22)
5.01.957-ü4 - Übung-4 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 12:15 - 13:45, weekly (from 24/10/22)
5.01.957-ü5 - Übung-5 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 14:15 - 15:45, weekly (from 24/10/22)
5.01.957-ü6 - Übung-6 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 16:15 - 17:45, weekly (from 24/10/22)
5.01.957-ü7 - Übung-7 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 16:15 - 17:45, weekly (from 24/10/22)
5.01.957-ü8 - Übung-8 Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
- Philipp Iber
Monday: 18:15 - 19:45, weekly (from 24/10/22)
5.01.958 - Großübung Lineare Algebra für Informatiker
- Prof. Dr. Andreas Stein
Tuesday: 16:15 - 17:45, weekly (from 18/10/22)

Notes on the module

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