| 1 | Introduction to Fourier Series and its significance | Introduction to signal & system, Continuous/Discrete-time signals |
| 2 | Fourier trigonometric expansion of common signals | Signal types and their applications in network analysis |
| 3 | Application of signal symmetricity for Fourier series | Continuous and discrete-time systems, basic system properties |
| 4 | Exponential form of Fourier Series | The convolution sum for discrete time systems |
| 5 | Parseval’s theorem | Convolution integral for continuous-time systems |
| 6 | Introduction to Fourier transform and properties | Properties of linear time invariant systems |
| 7 | Energy and power spectral density | Frequency response, systems described by differential equations |
| 8 | Application of Fourier transform on common signals | Homogeneous and particular solution and difference equations |
| 9 | Introduction to Laplace transform and its properties | Uniform sampling, Sampling theorem |
| 10 | Analysis of s plane and application for system stability | Digital to analog conversion |
| 11 | Application of Laplace transform for solving LTI systems | Aliasing decimation and interpolation, zero/first order hold |
| 12 | Introduction to definition and properties of z transform | Digital processing of continuous-time signals |
| 13 | Study on z plane and application of z transform | Analog filter, Band pass sampling |