Applied Statistics (Postgraduate)
The module introduces core statistical concepts for practical data analysis. It will provide students with the skills to model data sources, analyze their statistical properties, visualize them in different ways and fit the samples to a known probabilistic model.
Probability and Matrices (Undergraduate)
This module covers: Probability theory Counting permutations and combinations Conditional probabilities Bayesian probability Random variables and probability models Vector and matrix algebra Linear equations Vector spaces Linear combinations, linear independence
Complex networks, temporal graphs, network evolution models