Opinto-opas
Opinto-opas
Vuonna 2022 alkavat ja sitä aiemmat koulutukset
Savonian uuden opinto-oppaan (2023 ja tämän jälkeen alkavat koulutukset) löydät täältä.
| Basis of Education | Competence Standards | Structure of Studies | Development of Expertise | Methods and implementation | Course Table |
EF21SP Bachelor Degree Programme in Information Technology (Internet of Things)
Course Description
| Code | 4 EFA8130 |
| Name | Mathematical Algorithms |
| Credits | 5 cr |
| Credits in Foreign Language | 5 cr |
| Objectives | After the course the student knows discrete signal, especially digital filters and Fourier transformation basics of theory. He understands digital filter and spectrum analysis ways and can use MATLAB tool for simulation of digital processing problems. He can apply his signal processing knowledge in industrial and digital health applications. |
| Content | 1. Mathematical presentation of discrete signals 2. Sampling 3. Convolution 4. FIR filter function 5. IIR filter function 6. Classical FIR filters 7. Z-transformation 8. Transfer function 9. Frequence response 10. Inverse Z-transformation 11. DFT 12. FFT 13. FIR – filter design 14. IIR – filter design 15. Phase linear filters 17. Diskrete derivator 18. Wavelet transformation 20. Realising digital filters with processors 21. FFT algorhitm realisation with the processor 22. FPGA applications |
| Requirements | Study module includes theory lectures and practical exercises. The grade composes of final exam (60%) and exercises (40%). |
| Grading Scale | 0 - 5 |
| Course material | Discrete Time Signal Processing, Oppenheim. |
| Prerequisites | |
| Other considerations | |
| Contact | Kellomäki Markku |
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