Current course offerings

Please Note: Course profiles marked as not available may still be in development.

Course description

Understanding patterns in our environment is an important cognitive ability. The development of recognition and automated algorithms that are able to process copious amounts data without (or with limited) human intervention is critical in replicating this ability in machines. This course will cover the fundamentals of creating computational algorithms and models that are able to recognise and/or analyse patterns within data of various forms. Topics and algorithms will include fractal geometry, classification methods such as random forests, recognition approaches using deep learning and models of the human vision system. Python, the open-source paradigm and state-of-the-art packages like Tensorflow, JAX and PyTorch will be used as a mechanism for students to study patterns in nature and solve problems from various real-worlds data sources, such images, social media and biomedical signals.

Archived offerings