# |
Learning Outcomes |
1 |
Getting knowledge about the definitions and basic properties of both signals and systems |
2 |
Getting knowledge about the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs. |
3 |
Getting knowledge about Transform signals in their Fourier Series Expansion forms |
4 |
Getting knowledge about Use Continuous Time Fourier transform to analyze and synthesize continuous time signals and systems |
5 |
Getting knowledge about Use Discrete Time Fourier transform to analyze and synthesize discrete time signals and systems |
6 |
Getting knowledge about Analyze discrete time systems using unilateral Z-transform. |
7 |
Getting knowledge about Analyze continuous time systems using unilateral Laplace transform |
8 |
Getting knowledge about Use mathematical software like MATLAB to analyze and simulate signals and LTI systems. |
# |
Subjects |
Teaching Methods and Technics |
1 |
Introduction: Definition of signals and systems. Transformation of independent variable. Properties of signals and systems.
|
lecture |
2 |
Linear, time-invariant systems. Convolution Integral.
|
lecture |
3 |
Properties of linear, time-invariant (LTI) systems. Systems represented by differential equations.
|
lecture |
4 |
State-space analysis of LTI-causal systems described by differential equations.
|
lecture |
5 |
Fourier series.
|
lecture |
6 |
Fourier transform. Fourier transform properties
|
lecture |
7 |
Filtering.
|
lecture |
8 |
Midterm Exam
|
exam |
9 |
Continuous-time modulation. Demonstration of amplitude modulation.
|
lecture |
10 |
The Laplace transform Laplace transform properties.
|
lecture |
11 |
Analysis of systems by using Fourier and Laplace transform.
|
lecture |
12 |
Continuous-time second-order systems.
|
lecture |
13 |
Z-transform of discrete time signals |
lecture |
14 |
Butterworth filters, Feedback systems.
|
lecture |
15 |
Sampling. Interpolation.
|
lecture |
16 |
Final Exam |
exam |
# |
Learning Outcomes |
Program Outcomes |
Method of Assessment |
1 |
Getting knowledge about the definitions and basic properties of both signals and systems |
1 |
1͵2 |
2 |
Getting knowledge about the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs. |
2 |
1͵2 |
3 |
Getting knowledge about Transform signals in their Fourier Series Expansion forms |
2͵3 |
1͵2 |
4 |
Getting knowledge about Use Continuous Time Fourier transform to analyze and synthesize continuous time signals and systems |
3 |
1͵2 |
5 |
Getting knowledge about Use Discrete Time Fourier transform to analyze and synthesize discrete time signals and systems |
3 |
1͵2 |
6 |
Getting knowledge about Analyze discrete time systems using unilateral Z-transform. |
4 |
1͵2 |
7 |
Getting knowledge about Analyze continuous time systems using unilateral Laplace transform |
4 |
1͵2 |
8 |
Getting knowledge about Use mathematical software like MATLAB to analyze and simulate signals and LTI systems. |
5 |
1͵2 |