M1VM01 Algorithmization and numerical computations

Faculty of Science
Spring 2026
Extent and Intensity
0/3/0. 5 credit(s) (fasci plus compl plus > 4). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
doc. RNDr. Lenka Přibylová, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Lenka Přibylová, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable of Seminar Groups
M1VM01/01: Mon 16. 2. to Fri 22. 5. Wed 12:00–14:50 MP1,01014, L. Přibylová
M1VM01/02: Mon 16. 2. to Fri 22. 5. Mon 10:00–12:50 MP2,01014a, L. Přibylová
Prerequisites
no prerequisites
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
Abstract
This is a companion course to linear algebra. The aim of the course is practical mastery of gained theoretical knowledge using available software.
Learning outcomes
This is a companion course to linear algebra. The aim of the course is practical mastery of gained theoretical knowledge using available software.
Key topics
  • Introduction to used software
  • Basic calculations and numerical errors
  • Calculations of linear algebra: vectors, matrices, systems of linear equations
  • Linear models, data and matrix calculus
  • Applied linear algebra
Study resources and literature
    recommended literature
  • BOYD, Stephen P. and Lieven VANDENBERGHE. Introduction to applied linear algebra : vectros, matrices, and least squares. First published. Cambridege, United Kingdom: Cambridge University Press, 2018, xii, 463. ISBN 9781316518960. info
    not specified
  • Jiří Zelinka: Numerické výpočty I.https://is.muni.cz/auth/el/sci/jaro2025/M1VM01/um/NV-I.pdf
Approaches, practices, and methods used in teaching
Demonstration of selected methods and computer practice.
Method of verifying learning outcomes and course completion requirements
Credit will be awarded on the basis of preparation during semestr and the final project.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/el/sci/jaro2022/M1VM01/index.qwarp
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/sci/spring2026/M1VM01