Course unit code:
Course unit title:
Fundamentals of Matlab
Mode of delivery, planned learning activities and teaching methods:
laboratory practice – 2 hours weekly (on-site method)
Credits allocated:
Recommended semester:
Biotechnológia – bachelor (full-time, attendance method), 3. semester
Chemistry, Medical Chemistry and Chemical Materials – bachelor (full-time, attendance method), 3. semester
Automation, Information Engineering and Management in Chemistry and Food Industry – bachelor (full-time, attendance method), 1. semester
Level of study:
Prerequisites for registration:
Assesment methods:
Students will write 2 quizzes during the semester. The sum of points for the quizzes is 100. Students will successfully pass the quizzes if they obtain at least 56 points. Students are graded as follows: A 92–100 points, B 83–91 points, C 74–82 points, D 65–73 points, E 56–64 points.
Learning outcomes of the course unit:
Students are able to use MATLAB for a range of applications, including data processing.
Course contents:
Introduction to MATLAB and Simulink
Variables, expressions, and operators
Matrices and vectors
Elementary mathematical functions
MATLAB graphics – 2D charts
MATLAB graphics – 3D charts
Quiz No. 1
Polynomials I 
Polynomials II
Custom application design I 
Custom application design II
Symbolic Math Toolbox
Quiz No. 2
Recommended or required reading:
  • KOZÁK, Š. – KAJAN, S. MATLAB - Simulink I. Bratislava : STU v Bratislave, 1999. 125 s. ISBN 80-227-1213-2.
  • DUŠEK, F. Matlab a Simulink úvod do používání. Pardubice: Univerzita Pardubice, 2000. 146 s. ISBN 80-7194-273-1.
  • DUFFY, D. Advanced Engineering Mathematics with MATLAB. Chapman and Hall, 2003. 818 s. ISBN 1-58488-349-9.
  • GILAT, A. MATLAB: An Introduction with Applications. 111 River Street, Hoboken, NJ 07030-5774: John Wiley & Sons, Inc., 2011. 432 s. ISBN 978-1-11813-662-1.
Language of instruction:
Slovak, English
Assessed students in total:

A 25.8 %

B 37.1 %

C 24.2 %

D 8.3 %

E 3.7 %

FX 0.9 %

Name of lecturer(s):
P. Bakaráč, K. Fedorová, L. Galčíková, K. Kiš, R. Kohút (2020/2021 – Winter)
M. Furka, M. Horváthová, K. Kiš, J. Oravec, C. E. Valero (2019/2020 – Winter)
C. E. Valero, Ľ. Čirka, J. Oravec (2018/2019 – Winter)
Ľ. Čirka, J. Oravec, A. Vasičkaninová (2017/2018 – Winter)
Ľ. Čirka, F. Janeček, J. Oravec, A. Vasičkaninová (2016/2017 – Winter)
Ľ. Čirka, J. Drgoňa, J. Holaza, M. Jelemenský, J. Oravec, J. Števek, A. Vasičkaninová (2015/2016 – Winter)
Course supervisor:
Ing. Ľuboš Čirka, PhD.
Last modification:
19. 9. 2019

LMS Moodle:
Laboratory practice
Department of Information Engineering and Process Control

AIS: 2019/2020   2018/2019   2017/2018  

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