Software Engineering

Discovering Knowledge from Databases

  • Class 30
  • Practice 30
  • Independent work 120
Total 180

Course title

Discovering Knowledge from Databases

Lecture type




Lecturers and Associates

The course aims

Introducing basics of data mining and making simple projects in domain of dana mining.


Students will get basics of decision support systems, methods and tools. Students will be able to design basic decision suppot system which include applying advanced analyitical techniques, attribute relevance analysis with aim of constructing decision support system.


Course handbook prepared and printed by Algebra University College

Supplementary literature

1. Data Mining in Public and Private Sectors: Organizational and Government Applications, Antti Syvajarvi (Editor), Jari Stenvall (Editor)

Minimum learning outcomes

  • Clasification of data mining methods.
  • Attribute relevance analysis calculation.
  • Evaluate usage of specific data mining methods.
  • Selection of adequate data mining method for solving problems.
  • Project

Preferred learning outcomes

  • Clasification of data mining methods with expanation how do they work.
  • Attribute relevance analysis calculation and expanation.
  • Evaluate usage of specific dana mining methods and jusify usage of chosen method.
  • Selection of adequate data mining method for solving problems and solution proposal.
  • Project

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