SylabUZ
Course name | Signals parameters identification methods |
Course ID | 06.2-WE-ED-MIPS-CSP |
Faculty | Faculty of Computer Science, Electrical Engineering and Automatics |
Field of study | Electrical Engineering |
Education profile | academic |
Level of studies | Second-cycle studies leading to MSc degree |
Beginning semester | winter term 2019/2020 |
Semester | 3 |
ECTS credits to win | 4 |
Course type | obligatory |
Teaching language | polish |
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 | 18 | 1,2 | Credit with grade |
Laboratory | 30 | 2 | 18 | 1,2 | Credit with grade |
Outcome description | Outcome symbols | Methods of verification | The class form |
Składowe oceny końcowej = wykład: 45% + laboratorium: 55%.
Modified by dr hab. inż. Radosław Kłosiński, prof. UZ (last modification: 30-04-2019 00:02)