Course Code: ENG201

Synopsis

This level 2 course is fundamental to the study of many fields that constitute the ever-expanding disciplines of electrical and electronic engineering. This course also serves as the prerequisite for other coursework in the study of filter theory and design, communications, signal processing, and control engineering. On theoretical basis, this course addresses many essential issues in electrical and electronic engineering, including analogue and discrete representation of signals and systems, analysis and design of signals and systems in the time and frequency domains. Frequently used system operations on signals, such as convolution and transformation are also studied. This course is to provide with fundamental knowledge of Linear Systems Analysis and Design required for solving complex engineering problems
Level: 2
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

  • Introduction to Signals and systems
  • Basics of Signals; Basics of Systems
  • Introduction of LTI system
  • Convolution; System modeling (differential/difference equations,etc)
  • Fourier Analysis of Periodic Signals
  • Fourier Analysis of Aperiodic Signals
  • System Analysis using Laplace Transform
  • Application of z-Transform

Learning Outcome

  • Sketch the signal waveforms and system responses.
  • Describe the signals and systems using appropriate mathematical expressions.
  • Calculate the Fourier series, Fourier transform, inverse Fourier transform, Laplace transform and inverse Laplace transform.
  • Discuss the characteristics and properties of signals and systems.
  • Solve differential equations for modeling and analyzing systems.
  • Determine the system responses and characteristics.
  • Analyze the basic properties of signals and LTI systems.
  • Design LTI systems and signals using the basic signal functions and properties.

Who Should Attend

Executive who requires knowledge on Linear Systems Analysis and Design.


Relevance of Course to employment/upskilling/reskilling

This course introduces the representation of signals and analysis and design of systems in time and frequency domains. It provides the fundamentals required for the study of electronic disciplines such as signal processing, communications, control systems and machine learning.


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
2Tuesday7pm - 10pmIntroduction to Signals and systems, Basics of Signals; Basics of Systems, Introduction of LTI system, Convolution; System modeling (differential/difference equations, etc)
4Tuesday7pm - 10pmIntroduction to Signals and systems, Basics of Signals; Basics of Systems, Introduction of LTI system, Convolution; System modeling (differential/difference equations, etc)
4Sunday8.30am - 11.30amFourier Analysis of Periodic Signals, Fourier Analysis of Aperiodic Signals
8Tuesday7pm - 10pmFourier Analysis of Periodic Signals, Fourier Analysis of Aperiodic Signals
10Tuesday7pm - 10pmSystem Analysis using Laplace Transform, Application of z-Transform
12Tuesday7pm - 10pmSystem Analysis using Laplace Transform, Application of z-Transform

 

Assessments

The overall course grade is determined by

  • Assignments, Practical Exam, Written Exam

 

Trainer Info

Professor Chin Cheng Siong is the Chair Professor of Intelligent Systems Modelling and Simulation at Newcastle University, Singapore, and Director of the Newcastle University–NVIDIA Joint Laboratory. He has extensive experience in academia and industry, having previously worked as a senior R&D engineer at Seagate. Professor Chin holds a PhD from Nanyang Technological University, an MSc from the University of Manchester, and a BEng from NTU. His research focuses on intelligent systems, machine learning, digitalisation, energy systems, and modelling and simulation, with applications in marine, energy, and industrial systems.


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

Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
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]