# ELEC 320: ABET Course Objectives and Outcomes

### Course objectives:

Students finishing this course will understand the basic analysis and design techniques for signals and linear systems. We will study signals and systems in the time domain and the frequency domain using the Fourier and Laplace transforms.

To achieve the objectives for ELEC 320, we work toward the following course outcomes.

### Course outcomes:

At the conclusion of ELEC 320, students will be able to

1. classify systems with respect to continuous- or discrete-time, linear or nonlinear, time-invariant or time-varying, and causal or noncausal.

2. perform the continuous-time convolution operation on two signals.

3. determine the impulse response of a LTI system using analysis and experimental measurements.

4. compute the ZSR of a LTI system using convolution, based on the impulse response of the system.

5. determine the frequency response of a circuit using analysis and experimental measurements.

6. design, implement, and analyze first-order, active, analog filters.

7. derive an optimum approximation to a signal that minimizes the energy of the error.

8. use Fourier analysis to find the frequency spectra of periodic and aperiodic signals.

9. apply Fourier analysis to compute the ZSR output of a LTI system, based on the frequency response of the system.

10. use the fast Fourier transform (FFT) in Matlab and on the oscilloscope to analyze the frequency spectrum of experimentally-measured, discrete-time (sampled) signals.

11. apply the Fourier transform to analyze amplitude modulation (AM) in the frequency domain.

12. use the sampling theorem to analyze sampling in the frequency domain.

13. perform analog-to-digital (A/D) conversion and digital-to-analog (D/A) conversions in the laboratory.

14. apply the Laplace transform to analyze analog filters and other linear systems.

15. use Matlab as a tool for analysis and design of signals and systems.

16. complete a design project in the general area of signals and systems.