Course Code: ENG311
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Synopsis

This course aims to equip students with the basic concepts and knowledge in Digital Signal Processing covering analytical and design concepts, methods and considerations for practical implementation. In the first part of this course, the main characteristics of discrete signals, properties of linear time invariant systems (LTI), z-transform and its properties, and frequency analysis of discrete-time signal are introduced. In the second part of this course, discrete time Fourier transform and realization of digital filters are presented. Design of FIR (Finite Impulse Response) and IIR (Infinite Impulse response) filters will be treated in the last part of this course. Besides being theoretical on the analytical skill set & methodology, student will also be given the opportunity to work on Industrial well-known Signal Processing Tools in lab session , such as MATLAB (and/or with real Target Digital Signal Processor).
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

  • Discrete Time Signal & Systems
  • The z-transform
  • Discrete Fourier Transform
  • Realization of Digital Filters
  • FIR Filter Design
  • IIR Filter Design

Learning Outcome

  • Discuss the properties of Linear Time-Invariant (LTI) systems.
  • Calculate sampling frequency, circular convolution, quantization parameters and other signal parameters.
  • Analyze LTI systems and signals in the time and frequency domains.
  • Apply the properties of Fourier methods (Fourier Series, Fourier Transform, Discrete Fourier Transform) to examine signals and systems.
  • Implement Finite Impulse Response Filters (FIR) using windowing, frequency-sampling and optimal equi-ripple methods.
  • Construct Infinite Impulse Response Filters (IIR) using either Impulse Invariance or the Bilinear Transformation.
  • Formulate algebraic expressions to represent signals and systems.
  • Draw the block diagrams, impulse response, magnitude response, phase response and other characteristics of signals / systems.
Part-time Programmes / CET Courses

Who Should Attend

Executive who requires knowledge in Digital Signal Processing.


Relevance of Course to employment/upskilling/reskilling

This course discusses the properties of discrete-time signals and systems, z-transform and analysis of systems in frequency domain. It also equips learners to design digital systems satisfying the given specifications.


Admissions Prerequisites

  • Diploma or an equivalent qualification from a recognized institution.

Please refer to Undergraduate CET Admission Eligibility Criteria for Undergraduate CET Modular Courses.

 

Schedule

WeekDayTimeTopic
1Wednesday7pm - 10pmDiscrete Time Signal & Systems, The z-transform
3Wednesday7pm - 10pmThe z-transform, Discrete Time Signal & Systems
5Wednesday7pm - 10pmDiscrete Fourier Transform, Realization of Digital Filters
7Wednesday7pm - 10pmDiscrete Fourier Transform, Realization of Digital Filters
9Wednesday7pm - 10pmFIR Filter Design, IIR Filter Design
11Wednesday7pm - 10pmFIR Filter Design, IIR Filter Design

 

Assessments

The overall course grade is determined by

  • Assignments, Written Exam

 

Trainer Info

Mr Low Wee Kiat, Stephen is an Associate Faculty member at the Singapore University of Social Sciences (SUSS), where he previously served as a full time faculty member and held senior academic leadership roles including Head of Programme. He has over four decades of experience in engineering education, having taught at SUSS, Ngee Ann Polytechnic, and the Republic of Singapore Air Force. Mr. Low holds an MSc in Electronics Systems Engineering and a BSc (Hons) in Telecommunications from the University of Essex, UK. His expertise spans digital communications, signal processing, avionics systems design, and engineering education quality assurance.


Course Completion requirements

  • Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • Participants are required to complete all surveys and feedbacks related to the course.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
  • Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

 

Course Fees, payment and refund policy

  International Participants Singapore Citizens (below 40yrs), Permanent Residents Singapore Citizens (40yrs and above) SkillsFuture Mid - Career Enhanced Subsidy1Enhanced Training Support for SMEs2 (Singaporean and PRs)
Full Course Fees (A) $2,323.00$1,936.00$1,936.00 $1,936.00
SSG Grant Rate (B) 0%70%70%70%
SSG Grant (C)- $1,355.20$1,355.20$1,355.20
Nett course fees
(A) - (C) = (D) 		$2,323.00$580.80$580.80$580.80
9% GST on Nett course fees (E)$209.07$52.27$52.27$52.27
SSG Enhanced Funding Rate (F)0%0%20%20%
SSG Enhanced Grant (G)-- $387.20$387.20
Total nett course fee payable, including GST
(D) + (E) - (G) = (H)		$2,532.07$633.07$245.87$245.87

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singapore citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees.

For the various payment modes, please refer here.

For the refund policy, please refer here. 

For clarification, please contact the SUSS Academy via the following:

Telephone: +65 6248 0263
Email: [email protected]