Modelling and Classification of Data

Module code: EG7013
Module co-ordinator: Dr Rafael Morales-Viviescas

Topics covered

  • Applying deterministic and statistical modelling techniques to particular application problems
  • Standard pattern recognition techniques, including linear discriminant functions and fuzzy and neural networks
  • Random variables and information theory
  • Fitting a distribution to data collected in the field
  • Calculating error probability for a statistical classifier
  • Optimal decision boundaries for data classification problems
  • Pattern recognition problems, including classification and regression
  • Bayes classification methods and dealing with large volumes of data via computer tool

Learning

  • TBC

Assessment

  • Exam (60%)
  • Coursework: probability and statistics, statistical models, and/or neural networks (20%)
  • Coursework: statistical classifiers (20%)

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