PřF:M1VM01 Algorithmization and computat. - Course Information
M1VM01 Algorithmization and numerical computations
Faculty of ScienceSpring 2022
- Extent and Intensity
- 2/1/0. 3 credit(s) (fasci plus compl plus > 4). Type of Completion: k (colloquium).
- Teacher(s)
- doc. RNDr. Lenka Přibylová, Ph.D. (lecturer)
- Guaranteed by
- doc. Mgr. Jan Koláček, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 14:00–15:50 MP1,01014
- Timetable of Seminar Groups:
- 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
- Modelling and Calculations (programme PřF, B-MA)
- Course objectives
- 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.
- Syllabus
- 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
- Literature
- KLIMA, Richard E., Neil SIGMON and Ernest L. STITZINGER. Applications of abstract algebra with Maple and Matlab. 2nd. ed. Boca Raton, Fla.: Chapman & Hall/CRC, 2007, 505 s. ISBN 9781584886105. info
- BAUER, Luboš and Arnošt SVOBODA. Výuka matematiky s využitím programu MATLAB. In Sborník příspěvků. první vydání,152str. Brno: nakladatelství KONVOJ spol. s r.o., 2003, p. 14-17. ISBN 80-7302-051-3. info
- GANDER, Walter and Jiří HŘEBÍČEK. Solving Problems in Scientific Computing Using Maple and Matlab. 1st ed. Beijing, China: Higher Education Press, Beijing, 1999, 330 pp. ISBN 7-04-006935-0. info
- PÄRT-ENANDER, Eva. The Matlab handbook. Harlow: Addison-Wesley, 1997, xv, 423 s. ISBN 0-201-87757-0. info
- Teaching methods
- Demonstration of selected methods and computer practice.
- Assessment methods
- Credit will be awarded on the basis of preparation of the target project. The conditions may be specified according to the evolution of the epidemiological situation and the legislative restrictions.
- 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
- Enrolment Statistics (Spring 2022, recent)
- Permalink: https://is.muni.cz/course/sci/spring2022/M1VM01