Statistical Computing

Description

This module provides learners with advanced knowledge of statistical computing and its application to complex real-world problems. The module focuses on providing both the theoretical foundations necessary for advancing in this field with a set of practical programming skills.

Learning Outcomes

  1. Evaluate and critique the applicability of different statistical modelling techniques to solve complex computational problems.

  2. Understand the challenges and limitations of current statistical approaches to the analysis of large data sets.

  3. Design and implement novel computational solutions using statistical models and methods.

  4. Apply simulation techniques to practical problems involving statistical inference and numerical analysis.

Credits
10
% Coursework 100%