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Department of Computer Science and Technology
Computer Laboratory
Teaching
Courses 2017–18
Computer Systems Modelling
Course materials
Bioinformatics
Business Studies
Denotational Semantics
Digital Signal Processing
Human–Computer Interaction
Information Theory
LaTeX and MATLAB
Natural Language Processing
Principles of Communications
Quantum Computing
Types
Advanced Graphics
Comparative Architectures
Computer Systems Modelling
Computer Vision
E-Commerce
Information Retrieval
Machine Learning and Bayesian Inference
Mobile and Sensor Systems
Optimising Compilers
Security II
System-on-Chip Design
Topical Issues
Advanced Algorithms
Business Studies Seminars
Hoare Logic and Model Checking
Course pages 2017–18
Computer Systems Modelling
Syllabus
Course materials
Information for supervisors
Lecture slides
Problem sheet
Notes on RNGs
Notes on stochastic effects in queues with simulations in the R simmer package
© 2018 Department of Computer Science and Technology, University of Cambridge
Information provided by
Dr Richard Gibbens