Course Description

Course Name

Signal and Systems

Session: VSOS3221

Hours & Credits

3 Credits

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.

Overview

Introduction
This course is to introduce the basic signal and systems models used in communication, signal processing, and computer engineering. In particular, the time and frequency domain representations in signals and systems are modeled and analyzed in both continuous and discrete forms. Students are expected to acquire the knowledge and skills to transform and inverse transform the time and frequency domain representation of signals/systems.

Course Objectives
This course introduces a foundation of signals and systems which is basis to the discipline of electronics and computer engineering. In particular, we address the mixture of continuous- and discrete-time signal/system representations, Linear Time Invariant system, Fourier Series, Fourier Transform, Laplace Transform, and their representative examples in communication, signal processing, and computer engineering.
Textbooks
Continuous and Discrete Signals and Systems, 2nd Edition", Samir S. Soliman and Mansyam D. Srinath, Prentce-Hall 1992.

*Course content subject to change