PřF:M1VM01 Algorithmization and computat. - Course Information
M1VM01 Algorithmization and numerical computations
Faculty of ScienceAutumn 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:
- 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
- Modelling and Calculations (programme PřF, B-MA)
- 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
- Enrolment Statistics (Autumn 2019, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2019/M1VM01