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Computer Laboratory
Computer Laboratory
Teaching
Courses 2012–13
Machine Learning for Language Processing
Assessment
Advanced Computer Design
Algebraic Path Problems, with applications to Internet Routing
Automated Reasoning
Category Theory and Logic
Chip Multiprocessors
Principles and Foundations of Computer Security
Image Processing and Image Coding
Innovative User Interfaces
Introduction to Natural Language Processing
Introductory Logic
Low Power Embedded Systems Programming
Multicore Semantics and Programming
Network Architectures
Programming for Mobiles
Research Skills
Spoken Language Processing
Word Meaning and Discourse Understanding
Advanced Topics in Concurrency
Biomedical Informatics
Building an Internet Router
Categorical Models of Computational Languages
Current Applications and Research in Computer Security
Data Centric Networking
Flows in Networks
Interactive Formal Verification
Language and Concepts
Machine Learning for Language Processing
Nominal Sets and Their Applications
Social and Technological Network Analysis
Statistical Machine Translation
Syntax and Semantics of Natural Language
System on Chip Design and Modelling
Topics in Logic and Complexity
Usability of Programming Languages
Course pages 2012–13
Machine Learning for Language Processing
Syllabus
Course materials
Assessment
See Syllabus, Materials, and official list of deadlines
© 2013 Computer Laboratory, University of Cambridge
Information provided by
Prof Ted Briscoe
