Not recorded
The aim of this module is to train students in the process of organising a scientific event. The ML CRT Summer School is an annual week-long event for all current cohorts. This is a central event in the centre's calendar encouraging teamwork and scholarly exchange. Activities at the annual Summer School will include:
● An annual datathon in which researchers work in teams on projects driven by datasets provided by industry partners.
● Keynote presentations from international and local experts.
● Presentations by ML-Labs researchers on their work.
● Short workshops on key research and transferable skills (e.g. data protection, research
ethics, presentation skills).
● Presentations and technology workshops from industry partners.
● Panel discussions on recent experience of ML-Labs students returning from placement and ML-Labs graduates.
● Poster sessions and other match-making activities where industry partners have an opportunity to meet potential hires and placement candidates.
● Sessions targeted at current postgraduate and undergraduate students for recruitment
● An annual datathon in which researchers work in teams on projects driven by datasets provided by industry partners.
● Keynote presentations from international and local experts.
● Presentations by ML-Labs researchers on their work.
● Short workshops on key research and transferable skills (e.g. data protection, research
ethics, presentation skills).
● Presentations and technology workshops from industry partners.
● Panel discussions on recent experience of ML-Labs students returning from placement and ML-Labs graduates.
● Poster sessions and other match-making activities where industry partners have an opportunity to meet potential hires and placement candidates.
● Sessions targeted at current postgraduate and undergraduate students for recruitment
About this Module
Student Effort Hours:
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Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy
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Carry forward of passed components
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| Terminal Exam |
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