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Courses & Materials

Lecture notes, slides and assignments for every course taught by the department.

DS1013 credits

Introduction to Data Science

Lecturer: Jane Nguyen

The data science workflow end to end: collecting, cleaning, exploring and communicating data with Python.

ML2014 credits

Machine Learning

Lecturer: Minh Tran

Supervised and unsupervised learning, model evaluation, regularisation and an introduction to neural networks.

STAT1103 credits

Probability & Statistics

Lecturer: Jane Nguyen

Random variables, common distributions, estimation and hypothesis testing for data-driven decision making.