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Course unit, curriculum year 2020–2021
DATA.ML.370
Introduction to Data Mining, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Course code
DATA.ML.370Language of instruction
EnglishAcademic year
2020–2021Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Tarmo LippingResponsible teacher:
Nathaniel NarraResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Core content
- The concept and terminology of data mining.
- Understanding the special principles of processing large, non-structured datasets.
- Basic principles of web search engines.
Complementary knowledge
- Knowledge of the basic methods and algorithms.
- Special challenges of processing large datasets: memory usage and data formats.
Specialist knowledge
- Knowledge of the limitations of data mining.
- Mapreduce algorithm.
Learning outcomes
Further information
Learning material
Studies that include this course
Completion option 1
Completion of all options is required.
Independent study
11.01.2021 – 30.04.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
Participation in teaching
21.01.2021 – 28.04.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)