Professional Development

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

Frenchay

Content

The module syllabus typically includes the following:

• Advanced coding, programming and data analytics. This element will build on the basic programming and image data analytics developed in the AI, Computer Vision and Robotics Applications in Healthcare module.
• Deep Learning: AI and Deep Machine learning in real world projects.
• Image data processing, data fusion, pattern analysis: Use data from single or multiple sources and extract useful features from these data.
• Cyber Security: This aspect of the module will detail advanced concepts of cyber security with a particular focus on GDPR.

Course Director

Dr Wenhao Zhang

E-mail

pd@uwe.ac.uk

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.

Find out more about the facilities and resources UWE Bristol has to offer.

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