
AI and Machine Learning
PROGRAMME OVERVIEW
During this short programme, we are going to introduce AI and Machine Learning and their applications to the young generation of talents. AI and ML, are the most disruptive technology of the future, since they can dramatically increase the operational performance of different businesses, as well as they explore new areas and will change our society and business models. Therefore, knowing how they work and what they are is a must for the next generation of experts.
LEARNING OBJECTIVES
Over the course of these lectures, participants will gain an understanding of what AI and Machine Learning actually are and the basic principles behind them. From these fundamentals, they will then be provided with an overview of the current AI/ML trends, and their applications in modern businesses.
HOW THEY BENEFIT
With an understanding of AI and its application, participants will have the basic skills and knowledge to allow them to identify opportunities to improve their personal and business performance through AI. This course will also provide participants with a solid foundation to allow them to further develop their AI skillset over the course of their training and careers.
PREREQUISITES
This course is targeted toward high school and first-year college students. There are no prerequisites for this course as the material will cover the basics of AI/ML through to advanced applications. The course will be delivered in English.
PROGRAMME CONTENT
• Introduction to AI
• AI principles
• Overview of fuzzy logic
• Machine learning
• Machine learning case studies and applications
• Project presentations
Instructor | ||
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Dr Amirhassan Monajemi Amir is a Senior Lecturer with the School of Computing, National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He has taught artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. |