ME6208 AI Frontiers and Digital Transformation
Course Syllabus
AIMS AND OBJECTIVE
This course offers a comprehensive journey through the evolution, current state, and future prospects of Artificial Intelligence (AI) within the digital economy. Designed for professionals, entrepreneurs and students keen on understanding and leveraging AI's transformative power, the course covers the development of AI technologies, the critical infrastructure that supports them, and the impact of digitalization across various industries. Participants will explore AI readiness in different sectors, the role of AI in shaping the future workplace, and the ethical considerations surrounding AI deployment. Through a blend of theoretical knowledge and practical application, including hands-on labs and real-world case studies, learners will develop the skills needed to create AI-enhanced solutions for today's challenges
INTENDED LEARNING OUTCOME
By the end of this course, you should be able to:
1. Understand The Evolution and Current Landscape Of AI
2. Explore AI Infrastructure and Anticipating Future Trends
3. Analyze The Impact of Digitalization Across Industries
4. Evaluate AI Readiness and Applications in Various Sectors
5. Develop Hands-On AI Applications for Workflow and Productivity Enhancement
6. Understand The Ethical Considerations and Governance in The Use Of AI
COURSE ASSESSMENT AND REQUIREMENTS
Class Participation 20 %
Class Assignment 40 %
Project 30%
Presentation 10 %
100 %
COURSE OUTLINE
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Week
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Topic
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Readings/ Activities
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1
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Introduction to AI and the Digital Economy
• Overview of the digital economy and an
introduction to state-of-the-art AI
technologies. Tracing the evolution of AI to
understand its current landscape.
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Goldfarb, A., & Tucker, C. (2019). Digital economics. Journal of
economic literature, 57(1), 3-43.
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2
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AI Infrastructure and Applications
• Delving into the critical components that
underpin AI technologies—including data,
computing power, and algorithms—and
discussing the current applications, and
potential future developments in AI.
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Research index (openai.com)
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3
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Digitalization's Impact Across Industries and AI Readiness
• Exploring the transformative role of AI in digitalization across various sectors.
• Assessing AI integration and readiness in diverse economic and industrial contexts.
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IMDA Annual report 2023: Annual Reports | IMDA - Infocomm Media Development Authority
AI Readiness Index:AI Readiness Index (AIRI) - AI Singapore
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4
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AI and the Future of Work
Discussing the transformation AI brings to future work environments and the evolution of job roles and skills.
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WEF The Future of Jobs Report
2023: The Future of Jobs Report 2023 | World Economic Forum (weforum.org)
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5
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Ethical Governance of AI, Social and Economic Impact and Navigating Global Competition
• Exploring the ethical frameworks and governance structures essential for AI deployment, including considerations for privacy, bias, and accountability.
• Social and Economic Impact of AI
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Industry sharing
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• Understanding of dynamics of global competition in AI, and the implications for innovation and regulation.
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6
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Hands-on Lab: Enhancing Workflow and Productivity
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Individual and teamwork, with code from Github
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7
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Hands-on Lab: Everything about data
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Individual and teamwork, with code from Github
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8
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Hands-on Lab: AI generated contents (AIGC)
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Individual and teamwork, with code from Github
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9
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Hands-on Lab: Building Chatbots
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Individual and teamwork, with code from Github
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10
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AI for Business - E-commerce and Marketing Applications
• Case studies on AI applications in business, focusing on e-commerce, social media, and marketing.
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AI startups’ sharing and case studies
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11
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AI for Business – New products and frontiers
• Case studies, eg. Integration of AI with Blockchain and other technologies to address the current issues.
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AI startups’ sharing and case studies
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12
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Project on Developing an AI-Integrated Solution (1)
• Applying the concepts learned to develop a comprehensive AI-integrated digital solution, showcasing the ability to enhance digital workflows, keep human in the loop and address real-world challenges.
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Project presentation
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13
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Project on Developing an AI-Integrated Solution (2)
• Applying the concepts learned to develop a comprehensive AI-integrated digital solution, showcasing the ability to enhance digital workflows, keep human in the loop and address real-world challenges.
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Project presentation
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