COMP0086 Probabilistic and Unsupervised Learning

This database contains the 2018-19 versions of syllabuses.

Note: Whilst every effort is made to keep the syllabus and assessment records correct, the precise details must be checked with the lecturer(s).

The syllabus for this module has not yet been updated by the module lead.

For further information, please contact the module lead directly.

Academic session

2018-19

Module

Probabilistic and Unsupervised Learning

Code

COMP0086

Module delivery

1819/A7P/T1/COMP0086 Postgraduate

Prior deliveries

COMPGI18

Module leader

Sahani, Maneesh

Module leader email

m.sahani@ucl.ac.uk

Module administrator

Abbaro, Besheer

Availability and prerequisites

This module delivery is available for selection on the below-listed programmes. The relevant programme structure will specify whether the module is core, optional, or elective.

In order to be eligible to select this module as optional or elective, where available, students must meet all prerequisite conditions to the satisfaction of the module leader.Places for students taking the module as optional or elective are limited and will be allocated according to the department’s module selection policy.

Programmes on which available:

  • MRes Computational Statistics and Machine Learning
  • MRes Financial Computing
  • MRes Robotics
  • MRes Web Science and Big Data Analytics
  • MSc Computational Statistics and Machine Learning
  • MSc Machine Learning
  • MSc Robotics and Computation
  • MSc Web Science and Big Data Analytics