Neural Networks (CZ4042)

Provided by NTU Professional and Continuing Education (PaCE@NTU)

Course introduction


This course covers the information processing techniques inspired by the workings of biological neural networks, which provides solution to interrogatives that current linear systems are not able to resolve. With insights into the Biological neuron, knowledge on the diverse artificial neural networks, the student will be able to design and select suitable artificial neural network model for solving real world applications, and perform the required simulations and implementations.

Curriculum Overview

Programme Structure

On successful completion of this course, students will have:
a) Understand that current artificial neurons are simple abstractions of the biological neurons, realized as elements in a program or as circuits made of silicon.
b) Recognize that current artificial neural networks, although yet to come close to having a fraction of the power of the human brain, can be trained to perform useful functions.
c) Possess a good idea on diverse forms of artificial neural networks.
d) Understand the underlying principles, structures and operations of different artificial neural networks.
e) Supervised and Unsupervised learning. Design and select a suitable artificial neural network model for an application.
f) Understand what artificial neural network can do for you. Appreciate successful applications in the areas of pattern classification, function approximation and time series prediction.

Entry Requirements

  • At least 21 years of age
  • Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
  • Degree in Engineering/Science or 
  • Polytechnic Diploma with relevant working experience

Fees & Funding

Full Course Fee :
Singapore Citizen /Singapore PR1 21 to 39 years old  :
Singapore Citizen1 40 years or older2  :
Singapore Citizen1 Eligible for WTS3 : 
Singapore PRs ≥ 21 years older
Enhanced Training Support for SMEs4 :  

Method of Payment
  • Online Credit/Debit Card Payment (VISA and Mastercard only)
  • Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
Withdrawal & Refund Policy
Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.
Terms and Conditions
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE College reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
Privacy Clauses
At PaCE College, participants’ personal information is collected, used and disclosed for the following purposes:
  1. To process your application.
  2. For course administration and billing.
  3. To enable the trainers to know the background of the course participants.
  4. To submit to organisations for course funding verification (only applicable to funded courses).
  5. To issue certificate to the course participants.
  6. For marketing of courses to participants via E-newsletter.
  7. To understand and study the profile of its course participants for NTU’s policy making and planning.
  8. To deal with any matter related to the course.