Introduction to Probability and Statistics (E/S) (From AY2026)

Uncertainty appears everywhere in life, arising naturally in science, engineering, design, and humanities. Probability and statistics are two powerful and complementary ways to explain, forecast, and visualise uncertainty. Probability uses knowledge of a system’s behaviour to predict its future outcomes, while statistics analyses data from past outcomes to model a system’s behaviour. Probability and statistics are applied in virtually all industries that govern modern society; they are particularly important in disciplines including (but not limited to) finance, big data, artificial intelligence and machine learning.

(E) version

In Introduction to Probability and Statistics (E), we will study the core theories and proofs, and build a solid understanding of probability and statistics through real-life applications and software.

(S) version

In Introduction to Probability and Statistics (S), we will explore core concepts in probability and statistics through real-life problems drawn from architecture, economics, and the social sciences. In addition, we will learn to use various software tools to analyse and solve these problems.

Course instructors

• (E & S) Sun Zeyu
• (S) Ng Wei Khim

Information correct as of 20 January 2026 and is subject to change.