25.9.2
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Reasoning Systems

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. 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.

Issued on

April 28, 2023

Expires on

Does not expire