Advanced Statistical and Mathematical Methods (NCHNAP784)

This course provides the statistical and mathematical principles and properties behind artificial intelligence and machine learning problems.

The course focuses on aspects of advanced mathematics and statistics relevant to artificial intelligence (AI) and machine learning that are used routinely in organisational settings.

Learners will cover hypothesis testing, time series analysis, linear models and logistic regression, Monte Carlo, bootstrap, causal inference false discovery rates, permutation tests, regression-based local fitting and modelling methods.

Learners will understand the relationship between mathematical principles and core techniques in AI and data science. Performance and accuracy metrics will be evaluated for model validation.

The course will be illustrated with practical examples in Python and R.