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Lecturer(s)
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Hofman Martin, RNDr. Mgr. Ph.D.
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Course content
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1. Some basic definitions 2. Matrices and systems of linear algebraic equations 3. Spectral properties of square matrices 4. Characterization of some subsets of the set of square matrices C^{n,n} 5. Decompositions of matrices 6. Funcitons of a square matrix 7. Generalized inverses 8. Matrix equations 9. Matrices and graphs 10.Non-negative square matrices
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Learning activities and teaching methods
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Interactive lecture, One-to-One tutorial, Individual study, Students' self-study, Self-study of literature
- Contact hours
- 39 hours per semester
- Individual project (40)
- 50 hours per semester
- Presentation preparation (report) (1-10)
- 15 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge of the course KMA/LA. |
| learning outcomes |
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| Students will be able to understand properties and conventions between different fields of linear algebra. |
| teaching methods |
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| Interactive lecture |
| Self-study of literature |
| Individual study |
| One-to-One tutorial |
| assessment methods |
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| Oral exam |
| Seminar work |
| Individual presentation at a seminar |
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Recommended literature
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Fiedler, Miroslav. Speciální matice a jejich použití v numerické matematice. Vyd. 1. Praha : SNTL, 1981.
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Holenda, Jiří. Vybrané problémy teorie matic (připravované texty).
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