modules
Module title: | Machine Vision |
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Module code | COMM413DA |
Module lecturers: | Dr Anjan Dutta |
Module credits: | 15 |
How do we recognise objects and people? How can we catch a ball? How do we navigate our way from our desk to the coffee machine, without bumping into each other? These seemingly simple tasks have represented a challenge for AI scientists for decades. Recent developments in machine vision have seen significant improvement in important applications (face detection cameras, body tracking, and autonomous cars).
Pre-requisites: COMM416 DA Learning from Data.
Co-requisites: None.
This module is a part of the dual-qualification MSc Data Science (Professional) / Level 7 Research Scientist Apprenticeship programme. It cannot be taken as an elective by students on other programmes.
The apprenticeship standard and other documentation relating to the Level 7 Research Scientist Apprenticeship can be found here: https://www.instituteforapprenticeships.org/apprenticeship-standards/research-scientist-v1-0.
Please note that all modules are subject to change, please get in touch if you have any questions about this module.