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Curricular information is subject to change
You will learn fundamental concepts in DSP:
- Signal classification
- discrete Fourier analysis, z-transforms
- Linear Time-Invariant (LTI) systems
- Digital filtering
- Spectral analysis
- The Fast Fourier Transform (FFT) algorithm
You will also gain hands-on experience of computer based DSP algorithms using Matlab software.
Analysis of discrete signals, and discrete filtering.
Student Effort Type | Hours |
---|---|
Lectures | 36 |
Tutorial | 4 |
Laboratories | 14 |
Autonomous Student Learning | 66 |
Total | 120 |
EEEN3003J
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): Timed, proctored, closed-book exam. | End of trimester Duration: 2 hr(s) |
Standard conversion grade scale 40% | No | 85 |
No |
Quizzes/Short Exercises: Labwork followed by online quizzes, and some smaller in-class exercises. Timing varies according to timetabling. | Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12, Week 14, Week 15 | Alternative linear conversion grade scale 40% | No | 15 |
No |
Resit In | Terminal Exam |
---|---|
Summer | Yes - 2 Hour |
• Group/class feedback, post-assessment
Class feedback integrated into lectures. Individual feedback on request.