SylabUZ
Course name | Signal analysis |
Course ID | 13.2-WF-FizP-SA-S18 |
Faculty | Faculty of Physics and Astronomy |
Field of study | Physics |
Education profile | academic |
Level of studies | First-cycle studies leading to Bachelor's degree |
Beginning semester | winter term 2019/2020 |
Semester | 5 |
ECTS credits to win | 6 |
Available in specialities | Computer Physics |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
Lecture | 30 | 2 | - | - | Exam |
Laboratory | 30 | 2 | - | - | Credit with grade |
The course covers theory and methods for modern digital signal processig
Initial physics course, linear algebra with geometry at the level of the first two years of study, mathematical analysis at the level of the first two years of study. Ability to program in C / C ++ / Python.
Lectures, accounting exercises, computer lab
Outcome description | Outcome symbols | Methods of verification | The class form |
Laboratory: minimum 50% of points from tests positive passing the semester project.
Evaluation - the average of the marks and tests of the semester project
Lecture - oral exam
Course grade - 50% laboratory and 50% lecture
Cyfrowe przetwarzanie sygnału. Od teorii do zastosowań, T.P. Zieliński, WKŁ, 2009
The Scientist and Engineer's Guide to Digital Signal Processing, Steven W. Smith, Ph.D. (http://www.dspguide.com/pdfbook.htm)
A.V. Openheim, A.S. Willski, S.H. Nawab, Signals and Systems, Prentice Hall 2006
Modified by dr hab. Piotr Lubiński, prof. UZ (last modification: 19-02-2020 18:36)