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732A32 Data mining project

Course information


The aim of this course is that, after its completion, the student is able to

  • apply previously obtained knowledge in the field of data mining in a real setting,
  • plan, perform and report on an individual task, and
  • demonstrate insight in research and development work.
The course is worth 6 ECTS credits and, thus, the course work load corresponds to 8 weeks at half-speed. The course consists in project work. The project should be chosen in cooperation with a supervisor and, in general, it will be related to the research of the supervisor. The work is performed individually with support and guidance of a supervisor.

Projects available:
  • Your own project, send a brief description to Jose M. Pena before you start.
  • Statistical analysis of neuroimaging data, supervised by Mattias Villani.
  • Evaluation of support vector machines for analysis of genome-wide DNA data, supervised by Patrik Waldmann.
  • Analysis of predictive power of data mining algorithms with embedded monotonicity constraints, supervised by Oleg Sysoev.
  • Various topics on probabilistic graphical models such as Bayesian networks and chain graphs, supervised by Jose M. Pena.


Page responsible: Jos?M Pena
Last updated: 2015-06-24