Course overview
This course is about extracting useful information from visual data, and developing learning algorithms that combine diverse datasets (e.g. images, text, audio) to improve models. It covers the fundamental mathematics for the underlying data structures and algorithms, as well as implementation and applications to real-world datasets.
Course learning outcomes
- Describe modern computer vision techniques and connect it with the underlying mathematical principles
- Demonstrate an understanding of how deep learning is used to solve problems in computer vision
- Demonstrate skills in deploying computer vision using computer programming of both traditional and modern techniques
- Apply mathematical techniques as well as machine learning to solve a variety of problems related to computer vision at an appropriate level of difficulty
- Demonstrate skills in communicating about computer vision using mathematics and statistical approaches, including visualisation
Degree list
The following degrees include this course