Tel: +44 (0)117 3281158, Option 1 for PD
followed by option: 1 for CHSS, 2 for CBAL or 3 for CATE
Course/Module Code
UFCFFV-15-M
Fees
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Applications
University
Assessment
Assessment for this module comprises a two-hour examination and a portfolio, designed to develop your understanding of how data fusion can be applied to improve Healthcare Technology, a key focus of the programme.
Campus
Content
The module syllabus typically includes the following:
Course Director
Introduction
This 15 credit module, Advanced AI, Computer Vision and Cyber Security, provides you with the opportunity to learn state-of-the-art machine learning, including deep learning with application to big data and image analysis.
With these advanced tools, you will have the opportunity to design algorithms based on clinical studies that address the key chronic diseases such as neurodegeneration, cancer and metabolic disorders, to better diagnose patients, prescribe the right treatments and monitor the evolution of disease. The second part of the module will detail advances in cyber security with a particular focus on General Data Protection Regulation (GDPR).
Learning and Teaching
The module will be delivered through a series of lectures, tutorials and interactive practical classes.
Study facilities
UWE Bristol is superbly equipped with libraries and computer labs, and an excellent campus environment.
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Take a personalised virtual tour of the Computer Science and Creative Technology facilities and experience what a typical day could look like here for you.
Telephone
+44 (0)117 32 81158
Title
15 credit level 7 module
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