Modules

CDT Taught Modules

Taught Courses

In the first year of their study, students will take around Sixteen graduate courses which will span the first two terms. Each module will typically take 1-2 weeks, with the weekly schedule consisting of lectures each morning with hands-on experience in the afternoons to enable consolidation of theory. Each module will emphasise case examples from a breadth of application domains.

Those modules will be:

Data Estimation and Inference
Signal Processing
Machine Learning
Optimisation
Embedded Systems Programming
Introduction to Modern Control
Discriminative & Deep Learning for Big Data
Computer Vision
Systems Verification
Security in Wireless and Mobile Networks
Deep Learning in Distributed & Constrained Systems
Reinforcement Learning
Internet of Things
Autonomous Robotics
Cooperative AI: Foundations & Frontiers