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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2023/2024
UPOZORNĚNÍ: Jsou dostupné studijní plány pro následující akademický rok.

Programming in Matlab II.

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Code Completion Credits Range Language
F7ABBPPM2 KZ 2 2C English
Garant předmětu:
Radim Krupička
Lecturer:
Tutor:
Christiane Malá
Supervisor:
Department of Biomedical Informatics
Synopsis:

During the course the students will consolidate and widen their previous knowledge with the Matlab environment, programming language and with basic toolboxes. The course requires Matlab basics from course Programming in Matlab I. The students will learn how to create functions and scripts in Matlab, how to manipulate and visualize data and how to work with the basic toolboxes. As well the students will learn to create basic user interfaces.

Requirements:

Grading:

Continuously fulfilling homework tasks - up to 30 points

In the middle and at the end of semester assessment tests - each up to 30 points

Assessment program - up to 10 points

Final grade will be based on ECTS scale (minimum points to sucessfully pass the course: 50)

Syllabus of lectures:

Course has no lectures.

Syllabus of tutorials:

1. Introduction to the course and repetition (matrices, conditions, loops, functions, plots)

2. Introduction to the course and repetition (matrices, conditions, loops, functions, plots)

3. Arrays, Structures, Cells, Tables

4. Symbolic toolbox, equation system, symbolic derivative

5. Advanced data visualization - 2D graphs

6. 3D graphs and 3D graphics

7. Object oriented programming in Matlab, classes, handles

8. Assessment test 1

9. User interface creation – events,control elements

10. User interface creation – events,control elements

11. Signal processing, interpolation, minimum/maximum searching, signal processing toolbox

12. Signal processing, interpolation, minimum/maximum searching, signal processing toolbox

13. Image manipulation - Image processing toolbox

14. Assessment test 2

Study Objective:

The aim of the course is to enable the students to solve basic unknown tasks in Matlab by themself. The students will be prepared to use the Matlab environment for e.g. signal processing or solving of mathematically tasks during the ongoing of their studies.

Study materials:

Mandatory references:

[1] CHAPMAN, Stephen J. Matlab programming for engineers. Fifth edition. Mason, OH: Cengage Learning, 2016. ISBN 978-1-111-57671-4.

Recommended references:

[1] MATLAB, Matlab help [online], https://www.mathworks.com/help/matlab/

[2] MIKHAILOV, Eugeniy E. Programming with MATLAB for scientists: a beginner's introduction. Boca Raton: CRC, 2017. ISBN 978-1-4987-3828-6.

Note:
Time-table for winter semester 2023/2024:
Time-table is not available yet
Time-table for summer semester 2023/2024:
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
roomKL:B-334
Malá C.
08:00–09:50
(parallel nr.1)
Kladno FBMI
Lab. nemoc. infor. systémů
Tue
Wed
Thu
Fri
The course is a part of the following study plans:
Data valid to 2024-03-04
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