Course unit code:
N422M0_4B
Course unit title:
MATLAB - Advanced Techniques
Mode of delivery, planned learning activities and teaching methods:
lecture – 1 hour weekly (on-site method)
laboratory practice – 1 hour weekly (on-site method)
Credits allocated:
2
Recommended semester:
Automation, Information Engineering and Management in Chemistry and Food Industry – bachelor (full-time, attendance method), 2. semester
Level of study:
1.
Prerequisites for registration:
none
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 earn 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 signal processing, control systems, test and measurement. They know analyze data, develop algorithms, and create models and applications. Students are able to create applications with graphical user interface features.
Course contents:
Introduction to MATLAB
Basic architecture of MATLAB
Functions I 
Functions II
Functions III
Functions for working with data
Symbolic toolbox
Introduction to Object-Oriented Programming
Graphics objects
GUIDE – graphical user interface
Low-level input and output
HTTP MATLAB Web Server I 
HTTP MATLAB Web Server II
Recommended or required reading:
Basic:
  • DUFFY, D. Advanced Engineering Mathematics with MATLAB. Chapman and Hall, 2003. 818 p. ISBN 1-58488-349-9.
  • KOZÁK, Š. – KAJAN, S. MATLAB - Simulink I. Bratislava : STU v Bratislave, 1999. 125 p. ISBN 80-227-1213-2.
  • DUŠEK, F. Matlab a Simulink úvod do používání. Pardubice: Univerzita Pardubice, 2000. 146 p. ISBN 80-7194-273-1.
  • GILAT, A. MATLAB: An Introduction with Applications. 111 River Street, Hoboken, NJ 07030-5774: John Wiley & Sons, Inc., 2011. 432 p. ISBN 978-1-11813-662-1.
Language of instruction:
Slovak, English
Assessed students in total:
16

A 25 %

B 25 %

C 0 %

D 0 %

E 50 %

FX 0 %

Name of lecturer(s):
J. Števek (2015/2016 – Winter)
Course supervisor:
prof. Ing. Miroslav Fikar, DrSc.
Last modification:
29. 1. 2018

Department:
Department of Information Engineering and Process Control

AIS: 2017/2018  

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