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Computer Laboratory
Teaching
Courses 2025–26
Large-scale data processing and optimisation
Assessment

Department of Computer Science and Technology

Large-scale data processing and optimisation

Course pages 2025–26

Computer Laboratory
Teaching
Courses 2025–26
Masters

Large-scale data processing and optimisation
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
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
Explainable Artificial Intelligence
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

Large-scale data processing and optimisation

Syllabus
Course materials
Assessment
Recordings

R244 2025-2026 Assessment: see the course web page here!

© 2025 Department of Computer Science and Technology, University of Cambridge
Information provided by Dr Eiko Yoneki – edit page

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