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1.Ethics and Fairness

2.Safety and Trust

3.The Future of AI

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1.Case Study 1 (Computer Vision)

2.Case Study 2 (Natural Language)

3.Case Study 3 (Robotics)

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1.Learning from Examples

2.Classification

3.Neural Networks and Deep Learning

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1.What is Data Science?

2.Data Wrangling: Collection, Management, and Visualization.

3.Data-driven Decision Making

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1.Logic and Reasoning

2.General Problem Solving

3. Uncertain Reasoning

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1.What is Artificial Intelligence?

2.History & Philosophy

3.Anatomy & Applications

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Foundations of AI for STEMM is a 12-point course that introduces students from the disciplines of Science, Technology, Engineering, Mathematics and Medicine (STEMM) to Artificial Intelligence (AI). AI is a branch of computer science devoted to understanding how human beings think, reason and solve problems with a view to designing tools that mimic this intelligence. AI is a large field with an exciting history. Applications of AI are widespread and are rapidly transforming the ways we live, work and play. A practical understanding of the history, principles, approaches, and applications of AI would benefit students and better prepare them for the future of work, irrespective of discipline.

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CLO1 Explain the foundations, applications and future directions of Artificial Intelligence (AI) in Science, Technology, Engineering, Mathematics and Medicine (STEMM).
CLO2 Identify, analyze and solve real-world STEMM problems using AI approaches, algorithms and applications.
CLO3 Evaluate ethical and safety considerations in the development and deployment of AI applications in STEMM.
CLO4 Communicate accurately and collaborate effectively using a variety of tools and techniques specific to the fields of AI and STEMM.

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Module 3B: Applications of Machine Learning

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Module 3B: Applications of Machine Learning

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CLO2, 4
The applications of machine learning in STEMM are vast and diverse. This module offers students the opportunity to engage in a self-directed investigative task where they will critically evaluate the rationale, feasibility, potential and limitations of machine learning applications in various domains within the STEMM disciplines. To offer students a foundation to build on, three case studies highlighting three main approaches will be presented for analysis and discussion.
By the end of this module, students will have an in-depth understanding of the main issues relating to the application of Machine Learning in their discipline and, through the literature review, generate ideas that they can build on in their later years of study.

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CLO1, 3, 4
Grounded in knowledge on the philosophy, history & theoretical underpinnings of AI and, having developed advanced skills on the approaches, algorithms and applications of AI, students will be in a good position to consider the axiological issues surrounding the deployment of Artificial Intelligence in STEMM. These issues include ethical and safety considerations: Is there a right and a wrong way of using AI? These issues may also include safety and trust: In allowing for autonomous machines capable of reasoning and learning, how should AI professionals embed elements that guarantee safety, safekeep trust and guard against bias?
The module concludes with students reflecting on & theorising about the promising future of AI in STEMM

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CLO2, 4
The ability to learn from experience is a key requirement for intelligence. This module equips students with mathematical concepts and programming algorithms that will enable them to design machines that learn. In the context of their discipline, students will formulate a problem to be solved using a variety of robust machine learning techniques.

By the end of this module, students will be equipped with the knowledge and skills to configure sophisticated tools and write complex code, for machines to learn from patterns & historical data to form inferences & predictions.

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CLO2, 4
This module will be of particular interest to students who are keen to understand how the power of AI can be harnessed to extract meaning from voluminous amounts of information. An innate sense of curiosity, a scientific mindset and aptitude for statistics are desirable. With the help of a standard statistical software, students will embark on a journey as data scientists adopting a structured process collecting, wrangling, managing and visualising and representing data to support executive decision making.
By the end of this module, students will be equipped with knowledge and skills to analyse data and build models to generate insights that will lead to solutions for critical problems.

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CLO2, 4
This module will be of particular interest to students who are keen to understand the intricate mechanisms that propel AI. A strong interest and aptitude for Mathematics and Computer Programming are desirable. Early approaches to AI (Classical AI) were primarily concerned with attempts to understand the processing power of the human brain from the outside. The aim was to replicate human intelligence in a machine.  Aspects that characterise human beings as intelligent include the ability to search, rationalise logic, reason based on evidence and solve ill-structured problems. Guided by exemplars, students will explore how real-world problems can be solved using logic, reasoning and unreasoning using principles of AI. By the end of this module, students will be equipped with knowledge and skills to design and code for ‘intelligence’.

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CLO1, 4
The course begins with a gentle introduction to the field of Artificial Intelligence (AI). Through credible and reputable sources, students will be enlightened on the early beginnings of AI, its current state, and future directions. Drawing on a variety of relevant and contemporary examples from the STEMM disciplines, students will gain a solid understanding on the nature and scope of intelligence. Extensive opportunities will be offered for students to explore applications of AI in their relevant disciplines.

By the end of this module, students will have a renewed appreciation on the value of AI and its vast potential to make a positive difference in the world.