course-details-portlet

TTK4205

Pattern Recognition

Credits 7.5
Level Second degree level
Course start Autumn 2010
Duration 1 semester
Examination arrangement Written examination

About

About the course

Course content

Bayesian decision theory, supervised learning, parametric and non-parametric methods, linear discriminant functions, feature extraction, unsupervised learning, cluster analysis, syntactic methods.

Learning outcome

The course is an introduction to classification theory and pattern recognition. The students are provided with sufficient knowledge for designing and evaluating classifiers using proper methods for the problem at hand.

Learning methods and activities

Lectures and exercises. If there is a re-sit examination, the examination form may be changed from written to oral.

Course materials

To be announced.

Subject areas

  • Engineering Cybernetics
  • Technological subjects

Contact information

Department with academic responsibility

Department of Engineering Cybernetics

Examination

Examination

Examination arrangement: Written examination
Grade: Letters

Ordinary examination - Autumn 2010

Skriftlig
Weighting 100/100 Date 2010-12-14 Time 09:00 Duration 4 timer Place and room Not specified yet.

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