M4130 Mathematical Software

Faculty of Science
Autumn 2020
Extent and Intensity
2/2/0. 4 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
doc. Mgr. Jan Koláček, Ph.D. (lecturer)
Mgr. Stanislav Zámečník (seminar tutor)
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 10:00–11:50 prace doma
  • Timetable of Seminar Groups:
M4130/01: Wed 18:00–19:50 MP1,01014, S. Zámečník
M4130/02: Thu 16:00–17:50 MP1,01014, S. Zámečník
Prerequisites
KREDITY_MIN(30) && ! M4130c Math. Software - exercises && !NOW( M4130c Math. Software - exercises )
Basic knowledge of linear algebra, computers and programming.
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
Course objectives
The aim of the course is to make sense of basic philosophy of MATLAB and R and the syntax of its programming language; knowledge in basic operators and commands, writing procedures (script and function M-files), graphics (1D and 2D plots), commands related to some more advanced topics from matrix and polynomial algebra.
Note: The seminar courses utilize the computer projection screen. Practical training is with MATLAB and R for UNIX.
Learning outcomes
After passing the course, the student will be able to solve practical exercises and problems with MATLAB and R, especially: to define several types of variables; to know basic variable operators; to understand elementary syntax of programming; to construct basic plots
Syllabus
  • 1. Simple calculus 2. Matrix operations 3. Matlab and R commands 4. Working with files 5. Logical operations 6. Strings 7. Expressions evaluation 8. Graphics 9. Programming in Matlab and R
Literature
  • VENABLES, W. N. and D. M. SMITH. An Introduction to R. 2008, 100 pp. info
  • PÄRT-ENANDER, Eva. The Matlab handbook. Harlow: Addison-Wesley, 1997, xv, 423 s. ISBN 0-201-87757-0. info
Teaching methods
work on computer
Assessment methods
Lecture 2 hour a week, seminar 2 hour a week. Final test in Matlab and R. Each test consists of 5 examples and is for 10 points. 50% of points is needed to pass fulfilling requirements.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Pro zápis předmětu je potřeba mít alespoň základní znalosti z programování a práce s počítačem.
The course is also listed under the following terms Spring 2008 - for the purpose of the accreditation, Autumn 2010 - only for the accreditation, Spring 2001, Spring 2002, Spring 2003, Spring 2004, Spring 2005, Spring 2006, Spring 2007, Spring 2008, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2011 - acreditation, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2020/M4130