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Computer Laboratory
Teaching
Courses 2024–25
Large-scale data processing and optimisation
Course materials

Department of Computer Science and Technology

Large-scale data processing and optimisation

Course pages 2024–25

Computer Laboratory
Teaching
Courses 2024–25
Masters

Large-scale data processing and optimisation
Advanced Topics in Computer Architecture
Advanced topics in programming languages
Affective Artificial Intelligence
Category Theory
Digital Money and Decentralised Finance
Digital Signal Processing
Introduction to Computational Semantics
Introduction to Natural Language Syntax and Parsing
Introduction to networking and systems measurements
Machine Learning and the Physical World
Machine Visual Perception
Mobile, Wearable Systems and Machine Learning
Network Architectures
Overview of Natural Language Processing
Practical Research in Human-centred AI
Principles of Machine Learning Systems
Proof Assistants
Quantum Algorithms and Complexity
Understanding Quantum Architecture
Advanced Topics in Category Theory
Advanced Topics in Computer Systems
Advanced topics in machine learning
Computing for Collective Intelligence
Cryptography and Protocol Engineering
Distributed Ledger Technologies: Foundations and Applications
Explainable Artificial Intelligence
Federated Learning: Theory and Practice
Geometric Deep Learning
Mobile Health
Multicore Semantics and Programming
Reinforcement Learning
Theories of Socio-digital Design for Human Centred AI
Theory of Deep Learning
Understanding Networked-Systems Performance

Large-scale data processing and optimisation

Syllabus
Course materials
Assessment
Recordings

R244 2024-2025 materials: see the course web page here!

© 2024 Department of Computer Science and Technology, University of Cambridge
Information provided by Dr Eiko Yoneki – edit page

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