480-2024/01 – Computer Processing of Experimental Data (PZED)

Gurantor department	Department of Physics	Credits	3
Subject guarantor	Ing. Marek Nikodým, Ph.D.	Subject version guarantor	Ing. Marek Nikodým, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	1	Semester	summer
		Study language	Czech
Year of introduction	2024/2025	Year of cancellation
Intended for the faculties	FMT, FEI	Intended for study types	Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
NIK01	Ing. Marek Nikodým, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Graded credit	2+1

Subject aims expressed by acquired skills and competences

The student will learn to use the Matlab program, perform data processing in it, perform complex calculations and create graphic outputs. He will acquire knowledge about signals, their processing using Fourier series and continuous and discrete Fourier transformation.

Teaching methods

Lectures
Seminars
Tutorials

Summary

In the beginning, the subject is devoted to getting to know the Matlab environment, where the student will learn to use its wide possibilities of mathematical calculations, graphic data processing and also learn to program scripts and functions. Furthermore, attention is focused on mastering data processing using interpolation and the method of least squares, statistical data processing is also discussed. Finally, the subject deals with signals, their distribution and processing mainly using Fourier series and continuous and discrete Fourier transformation.

Compulsory literature:

Mathworks Inc.: MATLAB R13 HELP, Mathworks Inc., 2002. BEVINGTON, P., KEITH ROBINSON, D. Data Reduction and Error Analysis for the Physical Sciences 3rd Edition, McGraw-Hill, 2015, ISBN 978-0072472271

Recommended literature:

BLANCHET, Gérard a CHARBIT, Maurice. Digital signal and image processing using MATLAB. Přeložil Antoine HERVIER. Digital signal and image processing series. London: ISTE, 2006. ISBN 1-905209-13-4.

Way of continuous check of knowledge in the course of semester

Midterm tests during the semester. Credit report

E-learning

LMS Moodle

Other requirements

Students must attend practice.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Introduction to the Matlab program, basic mathematical calculations. 2. Linear algebra and mathematical analysis in Matlab. 3. Creation of user scripts and functions in Matlab. 4. 2D graphics in Matlab. 5. 3D graphics in Matlab. 6. Toolboxes and their use. 7. Data analysis in Matlab. Interpolation. 8. The method of least squares. 9. Statistical data analysis. 10. Theory of signals. 11. Fourier series and signals. 12. Continuous Fourier transform and discrete Fourier transform. 13. Wavelet transform.

Conditions for subject completion

Full-time form (validity from: 2024/2025 Winter semester)

Task name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Graded credit	Graded credit	100	51	3

Mandatory attendence participation: Compulsory attendance at seminars

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Conditions for subject completion and attendance at the exercises within ISP: Completion of all mandatory tasks within individually agreed deadlines.

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Occurrence in study plans

Academic year	Programme	Branch/spec.	Spec.	Zaměření	Form	Study language	Tut. centre	Year	W	S	Type of duty
2024/2025	(B0533A110023) Applied Physics				P	Czech	Ostrava	1			Compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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