| 1 | Classification of signals and systems; analog, digital, single, double, discrete, continuous, periodic, energy and power |
| 2 | Unit step, unit impulse, complex exponential, with and without memory systems, causality, linearity |
| 3 | Stability, time invariance, feedback systems, sample problems |
| 4 | Convolution integral at Continuous time, its features, step response, the properties of DZD systems, core functions |
| 5 | The systems described by differential equations, characteristics, discrete-time convolution sum, features |
| 6 | The systems described by difference equations, iterative solution, impulse response, sample problems |
| 7 | Laplace transform, convergence zone, the concept of poles and zeros, YB features, Laplace transform of some signals |
| 8 | Midterm exams |
| 9 | Properties of Laplace transform, inverse Laplace transform, table use, partial fraction expansion, system functions |
| 10 | z-transform and discrete-time systems, and the convergence and it eatures, s the z-transform of some of the signs |
| 11 | The inverse z-transform, table use, power series expansion, expansion into partial fractions, system functions, examples |
| 12 | Fourier series of periodic signals, Fourier transform, the relationship between Fourier transform and Laplace transform, Fourier transform properties, Parseval theorem, distortion-free transmission, filtration, filter types, the bandwidth concept |
| 13 | Discrete Fourier series, Fourier transform and its properties, frequency response of a discrete-time DZD systems |
| 14 | The response of systems to sampled continuous time sinusoids, simulation, sample problems |
