Program Overview

Professional/Short Course AI and Computer Vision, Application in Healthcare

Course Overview

The 30 credit module, AI and Computer Vision, Application in Healthcare, aims to provide the platform to introduce data analytics and programming that will enable students to understand simple machine learning and informatics, as well as the broad applications and implications of AI and computer vision in healthcare.

Learning Outcomes

On successful completion of this level 7 (Masters level) module, students will be able to:

• Critically discriminate between key concepts in the fields of AI, computer vision, autonomous systems, big data, and informatics.
• Appraise common informatics tools and approaches, in general and for specific healthcare applications.
• Critically evaluate existing implementations of AI, computer vision and informatics.
• Demonstrate ethical and professional values with respect to the development of innovative technologies in Health Tech.

Careers / Further Study

This module can contribute towards the MSc Health Technology.

Course Structure

Content

The course syllabus typically includes:

• Introduction to AI, data analytics and their application to healthcare
• Mathematics and computer programming fundamentals for data science
• Simple computer vision and machine learning
• Health informatics and big data frameworks
• Medical imaging
• The future of computer vision and machine learning in healthcare
• Defining cyber security.

Learning and Teaching

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

Assessment

Assessment for this module comprises:

• A written assignment - data analysis report - (2,500 words maximum) where students will summarise the practical work carried in one or more of the 'sprints', reporting to a hypothetical product owner and reflecting on the process for the sake of continuous improvement within their hypothetical organisation.
• A presentation - viva voce examination - which will focus on the topics of the written work, providing further opportunity for students to demonstrate their independent achievement of the learning outcomes in a different format.

Course Details

• Course code: UFMFEV30M
• Application: University
• Level: Professional/Short Course
• School: School of Engineering
• Campus: Frenchay
• Duration: Two semesters
• Delivery: Face-to-face/Online
• Course Director: Dr David Western

Study Facilities

Students can find out more about the facilities and resources UWE Bristol has to offer, including taking a personalised virtual tour of the Engineering facilities.