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. 

The aim of this module will be to build on the data analytics introduced in the compulsory module, AI and Computer Vision, Applications in Healthcare, which will allow advanced analysis of data from a qualitative and quantitative perspective.

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). 

On successful completion of this module, you will be able to:

• develop innovative AI-driven algorithms based on clinical studies to tackle key challenges in chronic disease and Health Technology. 
• critically appraise the application of technology in the area of Advanced AI, Computer Vision and Cyber Security.

For further information

Email: pd@uwe.ac.uk

Telephone: +44 (0)117 32 81158

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.

Learning and Teaching

The module will be delivered through a series of lectures, tutorials and interactive practical classes. 

Assessment

Assessment for this module comprises a portfolio comprising a report (1,500 words) and demonstration of code (10 minutes). A collection of works developed based on a case study exploring the application of AI in Health Technology, designed to provide a structured, real-world learning experience in AI-driven healthcare solutions.

The case study will be introduced through a series of lectures and practical sessions over several weeks, during which code templates will be provided to support the portfolio's development.  

Prices and dates