Reasoning Systems

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:

• Able to use computer keyboard and mouse, Windows or Linux or MacOS, Microsoft Office or LibreOffice.
• Able to read software source code written in one or more programming languages, e.g. web application, class diagram, extensible markup language (XML)
• Able to write or convert source code into Java, e.g. score calculation Java example: CloudBalancingEasyScoreCalculator.java
• Able to write business rules, e.g. score calculation Drools rule example: cloudBalancingScoreRules.drl
• Able to operate one or more prevalent integrated development environment (IDE), e.g. Eclipse, IntelliJ, etc.
• Able to operate one or more prevalent data mining software, e.g. RStudio, Orange, Weka, MATLAB, SPSS, SAS, etc.
• Able to calculate basic probability.
• Aware of decision tree, RESTful API, systems development life cycle (SDLC), unified modeling language (UML), client-server software architecture, VMware and/or VirtualBox

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:

What Will Be Covered

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

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 June 2024.

Certificate

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

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NUS-ISS and Learner’s Commitment and Responsibilities

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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.