Course Content
- Introduction to Reasoning Systems: Understand the evolution from human to machine intelligence and the fundamentals of AI applications in reasoning.
- Architectures of Reasoning Systems: Explore the structures and cognitive functions of reasoning systems, including learning, perceiving, and acting.
- Knowledge Representation Techniques: Learn essential techniques for representing and acquiring knowledge, building, and utilising knowledge bases.
- Deductive Reasoning and Logical Inference: Develop proficiency in deductive reasoning and logical inference, constructing and applying logical models.
- Reasoning Under Uncertainty: Study methods for handling uncertainty, including probabilistic reasoning and decision-making under various conditions.
- Contemporary Reasoning Systems: Master the use of modern reasoning systems that integrate big data and machine learning for knowledge discovery and problem-solving.
You will gain practical experience through scenario-based case studies and hands-on sessions using popular tools and frameworks.
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.
Key Takeaways- Comprehensive Understanding of Machine Reasoning: Grasp the evolution of machine reasoning, its applications, and the architecture of reasoning systems.
- Knowledge Representation: Learn techniques for representing and acquiring knowledge, essential for enabling machine reasoning.
- Deductive and Inductive Reasoning: Develop skills in deductive reasoning and logical inference, constructing and applying logical models to solve complex problems.
- Handling Uncertainty: Understand methods for reasoning under uncertainty, including probabilistic reasoning and decision-making under various conditions.
- Integration with Big Data and Machine Learning: Discover how contemporary reasoning systems leverage big data and machine learning for knowledge discovery and problem-solving.
Course Logistics
- No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
- Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.
If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:
| Minimum | Recommended |
Operating Systems | • Windows7 and above
• Mac OS | Laptop running the latest
version of either Windows or
Mac OS |
System Type | 32-bit | 64-bit |
Memory | 8 GB RAM | 16+ GB RAM |
Hard Drive | 256 GB disk size | |
Others | • An internet connection – broadband wired or wireless
• Installation permissions (non-company laptops)
• Keyboard
• Mouse/Trackpad
• Display
• Power adapter (laptop battery might run out) | DirectX 10 graphics card for graphics hardware acceleration |
Join Us
Register now to harness the full potential of intelligent decision-making systems and drive innovation in your organisation.
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.