代做ME6208 AI Frontiers and Digital Transformation Course Syllabus代写数据结构语言

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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

Week

Topic

Readings/ Activities

1

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.

Goldfarb, A., & Tucker, C. (2019). Digital economics. Journal of

economic literature, 57(1), 3-43.

2

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.

Research index (openai.com)

3

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.

IMDA Annual report 2023: Annual Reports | IMDA - Infocomm Media Development Authority

AI Readiness Index:AI Readiness Index (AIRI) - AI Singapore

4

AI and the Future of Work

Discussing the transformation AI brings to future work environments and the evolution of job roles and skills.

WEF The  Future of Jobs  Report

2023: The Future of Jobs Report 2023  |  World  Economic  Forum (weforum.org)

5

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

Industry sharing

Understanding of dynamics of global competition in AI, and the implications for innovation and regulation.

6

Hands-on Lab: Enhancing Workflow and Productivity

Individual and teamwork, with code from Github

7

Hands-on Lab: Everything about data

Individual and teamwork, with code from Github

8

Hands-on Lab: AI generated contents (AIGC)

Individual and teamwork, with code from Github

9

Hands-on Lab: Building Chatbots

Individual and teamwork, with code from Github

10

AI for Business - E-commerce and Marketing Applications

Case studies on AI applications in business, focusing on e-commerce, social media, and marketing.

AI startups’ sharing and case studies

11

AI for Business – New products and frontiers

•    Case  studies,  eg.  Integration  of AI with Blockchain and other technologies to address the current issues.

AI startups’ sharing and case studies

12

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.

Project presentation

13

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.

Project presentation



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