NUS
 
ISS
 
NUS ISS

Cognitive Systems

Overview

Reference No TGS-2023021433
Part of Graduate Certificate in Intelligent Reasoning Systems
Duration 3 days
Course Time 9.00AM - 5.30PM
Enquiry Please email ask-iss@nus.edu.sg for more details
Cognitive systems augment and accelerate human capabilities by mimicking how humans learn, think and adapt. Such systems often need to maintain a knowledge base and be able to reason out the solution meanwhile to response to the input from outside world. The keys are firstly to represent knowledge in an efficient way for mining and reasoning purpose. Secondly a optimised reasoning strategy should be applied to prepare a suitable response to outside. Besides, an intelligent way of human computer interaction is also needed to bridge the gap of communication. It requires technologies from natural language processing, speech/vision processing, machine learning, as well as core reasoning.

This course teaches how to analyse, design and build systems that interact naturally with humans, and extend and magnify human expertise and cognition. Topics include: classification of cognitive systems, common architectures, cognitive knowledge representation and reasoning, machine learning, natural language processing, audio and visual processing, etc. Example systems such as personal assistants like Amazon’s Alexa, will be discussed.

This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Reasoning Systems Series offered by NUS-ISS.

 

Upcoming Classes

Class 1: 5 to 19 April 2025 - Class Full
Duration: 3 Days
When: 5, 12, 19 Apr 2025
Time: 9:00am to 5:30pm

Class 2: 7 to 9 July 2025
Duration: 3 Days
When: 7, 8, 9 Jul 2025
Time: 9:00am to 5:30pm

Register

Registration Instructions

Self-sponsored Participants

  • Register for the course by clicking on the "Register Now" button above
  • You may refer to the User Guide for Learner

Company-sponsored Participants

  • You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
  • The person in-charge may register you for the course by:
    • Generating a corporate registration link for you to register for the course
      • After the link is generated, you must:
        1. Log in to L³AP by clicking on the "Register Now" button
        2. Click on the corporate registration link after logging in
      • If you do not follow the above instructions, you will be registered for the course as self-sponsored
    • Registering you for the course backend
      • You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
  • You may refer your HR/L&D POC to the User Guide for Company

Key Takeaways

At the end of the course, the participants will be able to:

  • Identify appropriate business scenarios requiring systems that extend human expertise and/or cognition
  • Gain a practical understanding of the concepts and techniques that enable systems to mimic human reasoning, and/or interact with human naturally
  • Create suitable design using common architectures of such applications after analysis of business requirements
  • Develop/integrate and evaluate such systems using existing libraries


Who Should Attend

This is an intermediate course, suitable for professionals with several years of system building experience, with an interest or requirement to understand and implement cognitive systems which need to interact naturally with users.

It is applicable for professionals engaged in the following areas:

  • Developers of intelligent systems
  • AI engineers or specialist
  • Project managers of intelligent systems
  • Solution architects for intelligent systems


Prerequisites

Participants must have strong programming skills using Python. Participants should have taken the course Machine Reasoning  to benefit more from the course. 

What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled laptops with power charger to access and download course materials.

Please see below for the laptop tech specs:

 

Minimum

Recommended

Computer and processor

1.6 GHz or faster, 2-core Intel Core i3 or equivalent, e.g. Apple (Intel) year 2012 model and newer

Intel Core i7 or equivalent, e.g. Apple (Intel/M1/M2 chip) new models

Memory

 4 GB RAM

16 GB RAM

Hard Disk

256 GB disk size

1 TB disk size

Display

800 x 600 screen resolution

1280 x 768 screen resolution

Graphics

Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).

DirectX 10 graphics card for graphics hardware acceleration

Others


 An internet connection – broadband wired or wireless

Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth

A webcam or HD webcam - built-in or USB plug-in

 



What Will Be Covered

This course will cover:

  • Introduction of Cognitive Systems
  • Cognitive Knowledge Representation and Reasoning
  • Cognitive System Case-Study
  • Natural Language Comprehension and Processing
  • Speech Recognition Systems
  • Vision Cognition Systems
  • Workshops


Fees & Subsidies

SkillsFuture Singapore (SSG) Funding 2024
  Full Course Fees Singapore Citizens & PRs aged 21 years and above 
(70% funding support)		 Singapore Citizens aged 40 years and above 
(90% funding support)		 Enhanced Training Support for SMEs (ETSS) 
(90% funding support)
Full course fee  S$2850 S$2850 S$2850 S$2850
SSG Funding  - S$1995 S$1995 S$1995
Nett course fee  S$2850 S$855 S$855 S$855
9% GST on nett course fee S$256.50 S$76.95 S$76.95 S$76.95
Additional Funding if eligible under various schemes  - - S$570 S$570
Total nett course fee payable, including GST  S$3106.50 S$931.95 S$361.95 S$361.95

Note:
1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
4. SSG Funding is valid up to 30 Sep 2024.



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Certificate

Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.


Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.



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