Statistics for Artificial Intelligence and Data Science

Module code: ECS7024P

Credits: 15.0
Semester: SEM2

Contact: Dr William Marsh

This module has two components. The first introduces students to the use of probability and statistics in the context of data analysis. The module starts with basics of descriptive statistics and probability distributions. Then we go on with applied statistics techniques, such as visualisation, fitting probability distributions, time-series analysis, and hypothesis testing, which are all fundamental to the exploration, insight extraction, and modelling activities that are fundamental in handling data, of any size. The second covers some basic matrix algebra, including matrix multiplication and diagonalisation.

Connected course(s): UDF DATA
Assessment: 100.0% Coursework
Level: 7