mat955 - Mathematics of Computer Science (Linear Algebra)

mat955 - Mathematics of Computer Science (Linear Algebra)

Department of Mathematics 6 KP
Module components Semester courses Wintersemester 2018/2019 Examination
Lecture
Exercises
  • No access 5.01.957 - Übung Lineare Algebra für Informatiker Show lecturers
    • Prof. Dr. Florian Heß

    Monday: 08:00 - 10:00, weekly (from 22/10/18), Location: W04 1-172
    Monday: 14:00 - 16:00, weekly (from 22/10/18), Location: W32 1-113
    Monday: 16:00 - 18:00, weekly (from 22/10/18), Location: W04 1-171
    Monday: 16:00 - 18:00, weekly (from 22/10/18), Location: W01 1-117, W03 1-152, W01 0-012
    Friday: 14:00 - 16:00, weekly (from 19/10/18), Location: W03 2-240
    Friday: 14:00 - 16:00, weekly (from 19/10/18), Location: W32 1-113
    Friday: 14:00 - 16:00, weekly (from 19/10/18), Location: W04 1-172
    Dates on Wednesday, 28.11.2018 16:00 - 18:00, Thursday, 06.12.2018, Wednesday, 12.12.2018, Wednesday, 19.12.2018 18:00 - 20:00, Tuesday, 25.12.2018 09:00 - 13:00, Wednesday, 09.01.2019 18:00 - 20:00, Wednesday, 16.01.2019, Wednesday, 23.01.2019 17:00 - 20:00, Wednesday, 30.01.2019 18:00 - 20:00, Monday, 04.02.2019 08:00 - 10:00, Monday, 04.02.2019 14:00 - 16:00, Monday, 04.02.2019 16:00 - 18:00, Tuesday, 05.02.2019, Thursday, 07.02.2019 10:00 - 14:00 ...(more)
    Location: A07 0-030 (Hörsaal G), W32 0-005, W01 0-015 (+2 more)

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

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