Learning from Data
| Module title | Learning from Data |
|---|---|
| Module code | ECMM445 |
| Academic year | 2020/1 |
| Credits | 15 |
| Module staff | Dr Hugo Barbosa () |
Module description
Artificially intelligent machines and software must assimilate data from their environment and make decisions based upon it. Likewise, we live in a data-rich society and must be able to make sense of complex datasets. This module will introduce you to machine learning methods for learning from data. You will learn about the principal learning paradigms from a theoretical point of view and gain practical experience through a series of workshops. Throughout the module, there will be an emphasis on dealing with real data, and you will use, modify and write software to implement learning algorithms. It is often useful to be able to visualise data and you will gain experience of methods of reducing the dimension of large datasets to facilitate visualisation and understanding.
The module will also cover some recent neural network architectures and related learning algorithms
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 |
|---|---|
| Available as distance learning? | Yes |
