M1VM01 Algorithmization and numerical computations

Faculty of Science
Autumn 2019
Extent and Intensity
2/1/0. 3 credit(s) (fasci plus compl plus > 4). Type of Completion: k (colloquium).
Teacher(s)
RNDr. Veronika Eclerová, Ph.D. (lecturer)
doc. RNDr. Lenka Přibylová, Ph.D. (lecturer)
Guaranteed by
doc. Mgr. Jan Koláček, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: Mgr. Jiří Zelinka, Dr.
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science
Timetable
Wed 12:00–13:50 MP1,01014
  • Timetable of Seminar Groups:
M1VM01/01: Wed 14:00–14:50 MP1,01014, 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.
The capacity limit for the course is 24 student(s).
Current registration and enrolment status: enrolled: 0/24, only registered: 0/24, only registered with preference (fields directly associated with the programme): 0/24
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is practical mastery of gained theoretical knowledge in linear algebra using available software.
Learning outcomes
Students has practical mastery of gained theoretical knowledge in linear algebra, provide and implement algorithms 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 and matrix calculus
  • Geometry and linear algebra
  • Typical problems, tasks and algorithms
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.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
Teacher's information
https://is.muni.cz/auth/elearning/warp?kod=M1VM01;predmet=903188;qurl=%2Fel%2F1431%2Fpodzim2016%2FM1VM01%2Findex.qwarp;zpet=%2Fauth%2Fel%2F1431%2Fpodzim2016%2FM1VM01%2Findex.qwarp%3Finfo;zpet_text=Zp%C4%9Bt%20do%20Spr%C3%A1vce%20soubor%C5%AF
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, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2019/M1VM01