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Computer Laboratory
Teaching
Courses 2021–22
Large-scale data processing and optimisation
Course materials

Department of Computer Science and Technology

Large-scale data processing and optimisation

Course pages 2021–22

Computer Laboratory
Teaching
Courses 2021–22
Masters

Large-scale data processing and optimisation
Advanced Graphics and Image Processing
Advanced Topics in Computer Architecture
Automated Reasoning
Category Theory
Digital Signal Processing
Digital Signal Processing with Computer Music
Distributed Ledger Technologies: Foundations and Applications
Interactive Formal Verification
Introduction to Natural Language Syntax and Parsing
Introduction to networking and systems measurements
Introduction to Robotics
Machine Learning and the Physical World
Machine Learning for Language Processing
Machine Visual Perception
Multicore Semantics and Programming
Natural Language Processing
Network Architectures
Principles of Machine Learning Systems
Probabilistic Machine Learning
Research Skills Programme
Theory of Deep Learning
Advanced Operating Systems
Advanced Robotics
Advanced Topics in Category Theory
Advanced Topics in Computer Systems
Advanced topics in machine learning
Cybercrime
Interaction with Machine Learning
Introduction to Computational Semantics
Representation Learning on Graphs and Networks
Technology, law and society
Topics in Logic and Complexity

Large-scale data processing and optimisation

Syllabus
Course materials
Assessment
Recordings

R244 2021-2022 materials: see the course web page here!

© 2021 Department of Computer Science and Technology, University of Cambridge
Information provided by Dr Eiko Yoneki – edit page

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