NUS
 
ISS
 
NUS ISS

Reasoning Systems

Overview

Reference No TGS-2023021435
Part of Graduate Certificate in Intelligent Reasoning Systems
Duration 5 days
Course Time 9.00AM - 5.30PM
Enquiry Please email ask-iss@nus.edu.sg for more details

How can you capitalise on the use of Artificial Intelligence – Reasoning Systems to drive innovation and efficiency in your organisation? This 5-day course enables participants to understand the relevant knowledge needed to architect and/or lead teams executing intelligent system projects to reason, simulate, and optimise complex business problems. For example, how to predict future workload and staffing requirements by area, designation, skill and/or role; and how to dynamically redeploy workforce based on unplanned events (sick leave, workload and customer orders fluctuations) in real-time.

Through a mix of lectures reinforced by case examples, participants will acquire comprehensive knowledge of artificial intelligence (AI) techniques, including search, scheduling, optimisation, constraint satisfaction, evolutionary computation, and data mining. Participants will also get hands-on learning to integrate hybrid reasoning systems using computer tools (with some programming) to solve complex and time consuming problems.

Our course participants have been creating intelligent reasoning systems, which use hybrid artificial intelligence techniques learnt:

This course is for business managers, data specialists, consultants, IT professionals and business professionals interested in learning how reasoning systems with AI optimisation techniques can be applied into an organisation to drive innovation, efficiency and identify competitive advantages.

This course is a part of the Artificial Intelligence and Graduate Certificate in Intelligent Reasoning Systems, which is a part of the Stackable Graduate Certificate Programme in Artificial Intelligent Systems offered by NUS-ISS.


Upcoming Classes

Class 1: 1 to 29 March 2025 - Class Full
Duration: 5 Days
When: 1, 8, 15, 22, 29 Mar 2025
Time: 9:00am to 5:30pm

Class 2: 13 to 19 November 2025
Duration: 5 Days
When: 13, 14, 17, 18, 19 Nov 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

Upon completion of the course, participants will be able to:

  • Identify real world business use cases and applications of advanced intelligent reasoning systems.
  • Integrate advanced artificial intelligence enablers in reasoning systems, including heuristic search, constraint satisfaction, simulation assisted learning, evolutionary computation, optimisation, planning, system integration, programming, data mining and machine learning algorithms.
  • Decompose complex business/industry scenarios into sub problems to be solved by assembling cooperative intelligent subsystems.
  • Architect hybrid reasoning system by evaluating suitable artificial intelligence techniques and system integration techniques to solve complex problem under business constraints.


Who Should Attend

This course will be useful for:

  • Operation Managers, Business Unit Managers, and Business Professionals who want to learn the use cases and benefits of AI powered intelligent business reasoning systems and core concepts.
  • IT Managers, Enterprise Architects, Application Solution Architects, System Integrators, and Technology Consultants who want to design and integrate hybrid business reasoning solutions
  • IT Analysts who need optimize business resource management using artificial intelligence
  • Data Scientists, Data Engineers, and Data Specialists who want to use AI techniques to reinforce data analytics.
  • IT professionals who want to practice contemporary AI toolsets

Prerequisites

This is an advanced course with limited in-class coaching of computer programming. Participants with computer programming ability would benefit more during hands-on workshops and project submission as part of course assessment.

  • Participants who attended Machine Reasoning course as a prerequisite would transit smoother into this course.
  • Participants who have not attended Machine Reasoning course could self-assess these essential abilities:

What to Bring

No printed copies of course materials are issued.
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the 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

 
PS: Participants must preinstall and successfully run iss-vm virtual machine (about 30 GB in size) into their own device before course start date.
 


What Will Be Covered

This course will cover:

Day 1

  • Reasoning Systems Overview
  • Uninformed Search Techniques
  • Search Representation Workshop

Day 2

  • Informed Search Techniques
  • Search Based Intelligent Applications
  • Search Reasoning Workshop

Day 3

  • Reasoning using Optimization Techniques
  • Optimisation Based Intelligent Applications
  • Optimisation Workshop

Day 4

  • Knowledge Discovery Using Data Mining / Computer Algorithms
  • Knowledge Discovery Intelligent Applications
  • Knowledge Discovery Workshop

Day 5

  • Hybrid Reasoning Systems
  • Hybrid Reasoning Systems Workshop
  • Course Assessment


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$4750 S$4750 S$4750 S$4750
SSG Funding  - S$3325 S$3325 S$3325
Nett course fee  S$4750 S$1425 S$1425 S$1425
9% GST on nett course fee S$427.50 S$128.25 S$128.25 S$128.25
Additional Funding if eligible under various schemes  - - S$950 S$950
Total nett course fee payable, including GST  S$5177.50 S$1533.25 S$603.25 S$603.25

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.



loading

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.



Course Resources

Develop your Career in the Following
Training Roadmap(s)

Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

Artificial Intelligence

Advance your business by harnessing artificial intelligence (AI) and deep machine learning

Read More

You Might be Interested in...

A+
A-
Scrolltop
More than one Google Analytics scripts are registered. Please verify your pages and templates.