Discrete Random Variables (DRV)



This is an AI for Curriculum activity where Data Science concepts and skills are integrated in High School and Junior College Mathematics - Discrete Random Variables (DRV) with Data Visualisation and Analysis.

Course License: CC BY-NC-SA 4.0

Learning Objectives

This mini-course is designed for high school and junior college students to enhance their understanding of discrete random variables through data visualisation and analysis in web applications (no-code) and Python (optional). This is because data visualisation and analysis are essential skills for the growing fields of data science, and artificial intelligence (AI), which are applicable across many industries, e.g. law, medicine, finance, business, engineering, education, physical and social sciences.

Topics Structure

Authors Biography

1) Dr Chen Weiqiang

Dr Chen Weiqiang taught at Eunoia JC as a Mathematics educator and as a teacher-in-charge of the Robotics and Computing Club. He also has former research experiences as a NUS PhD graduate in applied Mathematics and a signal processing researcher in DSO National Laboratories.

2) Li Jiawen

Ms Li Jiawen was a Mathematics educator, with teaching experiences in Hwa Chong Institution and Nanyang Girls Schools for over 10 years. She has a Master of Science in Applied Mathematics from NUS and she was amongst the first cohort of graduates in the AI for Industry (AI4I) programme launched by AI Singapore.

This experiential learning activity package was created by Dr Chen and Ms Li, to facilitate the younger generation to learn data analytics concepts within the Mathematics curriculum and also to serve as a resource to fellow educators on how such concepts could be incorporated within the Mathematics curriculum.

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