This unit seeks to acquaint you with the fundamental aspects of processing digital data, presented in the context of concrete examples from applications in computer vision, graphics, speech, audio, machine learning and data mining. Particular emphasis is placed on the importance of representation and modelling.
Rui Ponte Costa (RPC) | office 3.26 MVB. |
Laurence Aitchison (LA) | office 3.16 MVB. Unit Director |
Majid Mirmehdi (MM) | office 3.11 MVB |
Hazel Doughty, Will Price, Zeynel Samak, Daniel Davies, Xinyu Yang, Zhaozhen Xu, Daniel Gosden, Jonathan Munro, Vangelis Kazakos, Jian Ma
The unit is assessed 40% coursework and 60% exam:
Jupiter Notebook - For all COMS21202 needs you are encouraged to install Anaconda (Python 3.7) as it bundles all the course's requirements. Alternatively for manual installation, you will require Python 3.7.x with 'Jupyter' and 'iPython' both possibly in version 4.x.x as well as the following packages: 'Pillow', 'scikit-image', 'matplotlib', 'numpy', 'scipy', 'scikit', 'pygments' and 'scikit-learn'
In the lab Linux machines, you should be able to just run Jupyter Notebook with this command
$ /opt/anaconda3-4.4.0/bin/jupyter notebook
All technical resources will be posted on the COMS21202 Github organisation. If you find any issues, please kindly raise an issue in the respective repository.