Data miningLaajuus (5 cr)

Objective

Students can collect data based on user experience and data available in public records, in order to solve a pre-set research problem or to carry out a development project. Students can analyse the data of a quantitative research by using statistical methods and draw conclusions from the results. Students can estimate the statistical significance of the results of analyses.

Content

  What information is crucial for solving a research problem or carrying out a development project? When is research data collected by using experiments and measurements or from public records? What does the concept “user-oriented” mean? How do user-oriented methods work and what are their different parts? What kind problems can be solved with quantitative research? What kind of sampling methods are available in data collection? How does one measure and describe quantitative data? What different types of output are analyses based on? How is the significance of results assessed with different tests and statistical decisions?

Qualifications

No earlier courses required.

Assessment criteria, good (3)

  a) Students  use professional terminology and concepts consistently and  proficiently b) Students can justify their information sources in a versatile and critical way. e) Students can use the key models, methods, software, and techniques of their professional field. g) Students can promote the application of ethical principles in research making