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Computer Laboratory
Teaching
Courses 2025–26
Explainable Artificial Intelligence
Recordings

Department of Computer Science and Technology

Explainable Artificial Intelligence

Course pages 2025–26

Computer Laboratory
Teaching
Courses 2025–26
Masters

Explainable Artificial Intelligence
Advanced Graphics and Image Processing
Advanced topics in programming languages
Affective Artificial Intelligence
Category Theory
Computer Security: Principles and Foundations
Digital Money and Decentralised Finance
Digital Signal Processing
Homotopy Type Theory & Univalent Foundations
Introduction to Computational Semantics
Introduction to Natural Language Syntax and Parsing
Large-scale data processing and optimisation
Machine Learning and the Physical World
Machine Learning for Language Processing
Machine Visual Perception
Network Architectures
Overview of Natural Language Processing
Practical Research in Human-centred AI
Quantum Complexity Theory
Reinforcement Learning
Understanding Quantum Architecture
Advanced Topics in Category Theory
Advanced Topics in Computer Architecture
Computing for Collective Intelligence
Cryptography and Protocol Engineering
Cybercrime
Geometric Deep Learning
Mobile Health
Multicore Semantics and Programming
Principles of AI-driven Neuroscience and Translational Biomedicine
Principles of Machine Learning Systems
Proof Assistants
Theory of Deep Learning

Explainable Artificial Intelligence

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