Overview
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.
This course is part of the Artificial Intelligence and Graduate Certificate in Intelligent Reasoning Systems Series offered by NUS-ISS.
Course Description & Learning Outcomes
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. At the end of the course, you 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
Recommended Prerequisites
Participants must have strong programming skills using Python. Participants should have taken the course Machine Reasoning to benefit more from the course.
Pre-course instructions
No printed copies of course materials are issued. Participants must bring their internet-enabled laptops with power charger to access and download course materials. Registration close date: 06/11/2023
Schedule
Date: 27 Nov 2023, Monday
Time: 12:00 AM - 12:00 AM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Pricing
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