Digital Signal Processing 510-IS1-3CPS-23-ENG
Profile: general-academic
Form of studies: stationary
Course type: non-obligatory
Field and the discipline of the science: sciences and natural sciences, computer science
Year of studies/semester: 3/5
Preliminary requirements (so-called sequential system of classes and examinations): Mathematical Analysis, Numerical Methods
Lecture: 15, laboratory classes: 30
Didactic methods: lecture, presentation, discussion, laboratory classes, didactic materials in pdf format, instructions at laboratory calsses, consultations).
ECTS: 4
Balance of the workload of the student:
Participation in the classes:
- lecture: 15 h,
- laboratory classes: 30 h,
Review of literature: 10 h
Reports of classes, homeworks: 10 h
Preparation for test: 8 h
Preparation for exam: 6 h
Exam: 2 h
Participation in consultations: 3 h
Quantitative indicators:
requiring the direct participation of the teacher: 50, 2.1ECTS
on the nature of practical cases: 50, 1.9ECTS
Type of course
Prerequisites (description)
Course coordinators
Learning outcomes
Course Outcomes: Student:
Knows and can describe basic models of deterministic and stochastic signals. KP6_WG11
Is able to list and characterize basic signal analysis methods. KP6_WG11
Is able to select an appropriate method for analyzing various types of signals. KP6_UW8, KP6_UK3
Is able to correctly perform signal analysis and draw appropriate conclusions based on it. KP6_UW8, KP6_UK3
Is able to implement signal analysis methods in, for example, Matlab. KP6_UW8
Is able to organize work appropriately to solve problems related to the analysis of various signals. KP6_UW8, KP6_UK3, KP6_UO1, KP6_UO2
Systematically expands their knowledge of signal analysis. KP6_KK1
Creatively solves problems related to signal analysis, independently and in a team. KP6_UK3, KP6_UO1, KP6_UO2
Assessment criteria
According to the Study Regulations. General form of getting credit: written exam.
Bibliography
1. Tomasz P. Zieliński: Digital Signal Processing: From Theory to Applications, WKŁ, Warsaw 2016
2. Jerzy Szabatin: Fundamentals of Signal Theory, WKŁ, Warsaw 2008
3. Jerzy Moczko, Lucyna Kramer: Digital Methods of Biomedical Signal Processing, Wydawnictwo Naukowe UAM, Poznań 2001
4. Jacek Izydorczyk, Grzegorz Płonka, Grzegorz Tyma: Signal Theory. Compendium of Knowledge on Signals and Methods of Their Processing, Helion, Gliwice 2006
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: