Course: Algebra 1

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Course title Algebra 1
Course code KMI/AL1
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Krupka Michal, doc. RNDr. Ph.D.
  • Peška Patrik, RNDr. Ph.D.
  • Kolařík Miroslav, doc. RNDr. Ph.D.
  • Trnečková Markéta, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
The students become familiar with basic concepts of linear algebra.
1. Knowledge Define basic concepts, describe and apply basic methods of linear algebra.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Written exam, Student performance

Active participation in class. Completion of assigned homeworks. Passing the oral exam.
Recommended literature
  • Bečvář, J. (2010). Lineární algebra. Praha: Matfyzpress.
  • Bican, L. (2009). Lineární algebra a geometrie. Praha: Academia.
  • Halmos P.R. (1995). Linear Algebra Problem Book. Cambridge University Press.
  • Chajda, I. (1999). Úvod do algebry. Olomouc: Univerzita Palackého.
  • Jukl, M. (2010). Lineární algebra: euklidovské vektorové prostory : homomorfizmy vektorových prostorů. Olomouc: Univerzita Palackého v Olomouci.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science (2020) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Bioinformatics (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter