mat955 - Mathematics of Computer Science (Linear Algebra)

mat955 - Mathematics of Computer Science (Linear Algebra)

Department of Mathematics 6 KP
Module components Semester courses Examination
Lecture
Exercises
  • No access 5.01.957-ü1 - Show lecturers
    • Prof. Dr. Anne Frühbis-Krüger

    Tuesday: 18:00 - 20:00, weekly (from 26/10/21)

  • No access 5.01.957-ü2 - Show lecturers
    • Prof. Dr. Anne Frühbis-Krüger

    Monday: 10:00 - 12:00, weekly (from 25/10/21)

  • No access 5.01.957-ü3 - Show lecturers
    • Prof. Dr. Anne Frühbis-Krüger

    Monday: 10:00 - 12:00, weekly (from 25/10/21)

  • No access 5.01.957-ü4 - Show lecturers
    • Prof. Dr. Anne Frühbis-Krüger
    • Dietrich Kuhn

    Monday: 10:15 - 11:45, weekly (from 25/10/21)

  • No access 5.01.957-ü5 - Show lecturers
    • Prof. Dr. Anne Frühbis-Krüger

    Monday: 12:15 - 13:45, weekly (from 25/10/21)

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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