SIGNALS AND SYSTEMS (2017/2018, Semester 2) 

 MODULE OUTLINE Created: 13-Jan-2018, Updated: 13-Jan-2018
Module Code EE2023
Semester Semester 2, 2017/2018
Modular Credits 4
Faculty Engineering
Department Electrical & Computer Engineering
Timetable Timetable/Teaching Staff
Module Facilitators
PROF Lawrence WC Wong (ECE Dept) Lecturer
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Learning Outcomes | Prerequisites | Synopsis | Preclusions | Workload

On completion of this course of study, students should be able to: 
  1. Understand signal representation in time and frequency domains
  2. Make use of Fourier Transform to analyse signals
  3. Derive the power and energy spectra of signals
  4. Apply the Nyquist sampling theorem to sampled systems
  5. Make use of Laplace Transform to analyse systems
  6. Evaluate the stability of systems
  7. Understand frequency response via the Bode plots
  8. Appreciate how signal processing can be applied in modulation and filtering

MA1506 Mathematics II

This is a fundamental course in signals and systems. Signals in electrical engineering play an important role in carrying information. Signals going through a system is an inevitable process. It allows engineers to understand the system. Thus in this course the relationship between signals and systems will be taught. The concepts which are important include time and frequency domain representations, Fourier and Laplace transforms, spectrum of a signal, frequency response of systems (Bode diagrams), sampling theorem, linear time invariant systems, convolution, transfer functions, stability of feedback systems, modulation and filters.

EE2009 Signals, EE2010 Systems & Control


Workload Components : A-B-C-D-E
A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of lab hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week