How to Use the English Edition
Open any unit directly in Chrome or Edge. Each file works without an internet connection and calculates its examples from embedded course data.
Orange panels are interactive demonstrations; green panels are classroom exercises. Answers and reading progress are stored locally in your browser. Each unit ends with an English–Chinese glossary.
Data, Descriptive Statistics and AI Fundamentals
Descriptive statistics, Excel workflows, AI model families, LLMs, prompting and AI agents.
6 demonstrations · 5 exercisesProbability, Hypothesis Testing and Experiment Design
Sampling, confidence intervals, the four-step test, A/B experiments and AI-assisted verification.
5 demonstrations · 5 exercisesRegression Analysis
Model specification, Excel output, significance, collinearity, dummy variables and log models.
5 demonstrations · 5 exercisesTime Series and Text Data
Forecasting, seasonal adjustment, causal models, LLM labelling and human agreement checks.
5 demonstrations · 5 exercisesLinear Programming
Formulation, graphical intuition, Excel Solver, shadow prices and sensitivity analysis.
4 demonstrations · 5 exercisesThe Art of Modelling and Integer Programming
Model design standards, integer and binary decisions, scheduling and setup costs.
5 demonstrations · 5 exercisesDecision Making under Uncertainty and Simulation
Decision criteria, probability trees, Bayesian updating, utility and Monte Carlo simulation.
5 demonstrations · 5 exercisesNon-linear Optimisation and Portfolio Selection
Curve fitting, multiple starts, marketing costs, efficient frontiers and evolutionary search.
5 demonstrations · 5 exercises