Deep Geometry

Postgraduate | 2026

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Area/Catalogue
MATH 6009
Course ID icon
Course ID
201667
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

The course gives an introduction to geometric deep learning, including: the underlying geometric and graph structures and their relationship to deep learning models; also how such models are deployed and used in real-world applications.

  • Foundations
  • Transformers
  • Applications Of Geometric Deep Learning

Course learning outcomes

  • Describe the fundamental architectures of deep learning and AI models and connect this with the underlying mathematical principles
  • Demonstrate an understanding of how to represent and model data using deep learning approaches
  • Demonstrate skills in training and predicting using deep learning using computer programming, including visualisation
  • Apply mathematical deep learning techniques to solve a variety of problems at an appropriate level of difficulty
  • Demonstrate skills in communicating about artificial intelligence and deep learning, including through designing appropriate numerical experiments and visualisations

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A