MB141 Linear algebra and discrete mathematics

Faculty of Informatics
Spring 2020
Extent and Intensity
2/2/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
doc. RNDr. Martin Čadek, CSc. (lecturer)
Mgr. David Kruml, Ph.D. (seminar tutor)
Mgr. Mária Šimková (seminar tutor)
doc. Mgr. Ondřej Klíma, Ph.D. (assistant)
Mgr. Lenka Zalabová, Ph.D. (assistant)
Guaranteed by
prof. RNDr. Jan Slovák, DrSc.
Department of Computer Science - Faculty of Informatics
Supplier department: Department of Mathematics and Statistics - Departments - Faculty of Science
Mon 17. 2. to Fri 15. 5. Mon 10:00–11:50 D1
  • Timetable of Seminar Groups:
MB141/01: Mon 17. 2. to Fri 15. 5. Tue 14:00–15:50 A320, M. Čadek
MB141/02: Mon 17. 2. to Fri 15. 5. Wed 12:00–13:50 B204, D. Kruml
MB141/03: Mon 17. 2. to Fri 15. 5. Wed 14:00–15:50 B204, D. Kruml
MB141/04: Mon 17. 2. to Fri 15. 5. Mon 16:00–17:50 B204, M. Šimková
Prerequisites (in Czech)
! NOW ( MB151 Linear models ) && ( ! MB151 Linear models || ! MB154 Discrete mathematics ) && ( ! MB101 Mathematics I || ! MB104 Discrete mathematics )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
Introduction to linear algebra, analytical geometry and elementary number theory.
Learning outcomes
At the end of this course, students should be able to: understand basic concepts of linear algebra; apply these concepts to iterated linear processes; solve basic problems in analytical geometry; apply elemntary number theory on kryptography.
  • Obsah kurzu Lineární:
  • 1. Geometry in plane. Complex numbers. 2. Systems of linear equations. Gauss elimination. 3. Operation with matrices. Inverse matrix, determinent. 4. Vector spaces, báses, dimension, coordinates. 5. Linear mappings, eigenvalues and eigenvectors. 6. Linear processes. 7. Afinne geometry. 8. Scalar product, Eukleidian geometry. 9. Linear optimization. 10. Elementry number theory. 11. Congruences. 12. Application in kryptography.
Teaching methods
Two hours of lectures, two hours of tutorial. Lecture covering the theory with illustrative solved problems. Tutorials devoted to solving numerical problems.
Assessment methods
During the semester, two obligatory mid-term exams are evaluated (each for max 10 points). In the seminar groups there are 5 tests during the semester. The seminars are evaluated in total by max 5 points. Students, who collect during the semester (i.e., from tests and mid-term exams) less than 8 points, are graded as F and they can proceed to the final examination only for correction. The final exam is two hours long and written for max 20 points. For successful examination (the grade at least E) the student needs in total at keast 22 points and at least 5 point from the final exam.
Language of instruction
Further comments (probably available only in Czech)
Study Materials
Listed among pre-requisites of other courses
Teacher's information
More information can be found in IS of the course.
The course is also listed under the following terms Spring 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/spring2020/MB141