Teaching
Informed Clinical Decision Making using Deep Learning
Students can enroll to the coursera MOOC here. The slides can be found in our Github and include four modules:
Data Mining of Clinical Databases
Deep Learning in Electronic Health Records
Explainable Deep Learning Models for Healthcare
Clinical Decision Support Systems
Computer Vision Methods and Applications (CVMA)
CVMA is taught at Honours Students at the School of Computing Science of University of Glasgow. The Computer Vision Methods and Applications (CVMA) course is intended to equip students with the necessary theoretical and practical understanding of image processing and computer vision techniques to enable them to meet the challenges of building advanced image-based applications.
Machine Learning & Artificial Intelligence for Data Scientists (MLAIDS)
MLAIDS is taught to Master's students at the School of Computing Science of University of Glasgow. It is a basic introduction to the field of artificial intelligence focusing on an introduction to the foundations of machine learning, based around a series of practical case studies using data from a range of research areas.