Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


After the course, the students have an overview of the main principles and methods of data mining and know how to apply them on real world problems. They know the most fundamental pattern types and their search methods, including associative, graph and sequence mining, main approaches to cluster large-dimensional and heterogenous data, and how to validate the data mining results.

Credits: 5

Schedule: 14.09.2021 - 15.12.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Wilhelmiina Hämäläinen

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    The course covers fundamental data mining problems, such as pattern discovery, graph mining, and clustering different types of data. The main emphasis is in learning the basic principles of data mining and their application in practice, including method selection, validation, and scalablity issues.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Home assignments, project work, examination.

  • valid for whole curriculum period:

    Contact teaching 24h lectures + 12h exercises; self studying 90-100h (home assignments, project work, exam preparation).


Study Material
  • valid for whole curriculum period:

    Lecture slides and external material. The course book will be announced later.

Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Autumn I-II

    2021-2022 Autumn I-II

    Course Homepage:

    Registration for Courses: Kurssille ilmoittaudutaan WebOodissa. Katso ilmoittautumisaika WebOodista. Ilmoittautumiseen