Machine Learning and AI
| Module title | Machine Learning and AI |
|---|---|
| Module code | ENS3026DA |
| Academic year | 2025/6 |
| Credits | 15 |
| Module staff |
Module description
Machine learning has emerged mainly from computer science and artificial intelligence, and draws on methods from a variety of related subjects including statistics, applied mathematics and more specialized fields, such as pattern recognition and neural computation. Applications are, for example, image and speech analysis, medical imaging, bioinformatics and exploratory data analysis in natural science and engineering. This module will provide you with a thorough grounding in the theory and application of machine learning, pattern recognition, classification, categorisation, and concept acquisition.
Module aims - intentions of the module
Intended Learning Outcomes (ILOs)
ILO: Module-specific skills
On successfully completing the module you will be able to...
ILO: Discipline-specific skills
On successfully completing the module you will be able to...
ILO: Personal and key skills
On successfully completing the module you will be able to...
| Credit value | 15 |
|---|
