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Course unit, curriculum year 2020–2021
DATA.ML.410
Health Analytics, 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.410Language of instruction
EnglishAcademic year
2020–2021Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Tarmo LippingResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Core content
- Overview on decision support systems and technologies in healthcare; evaluation of decision support systems
- Data sources, data management and data exchange in digital health systems
- Knowledge bases in clinical decision support: expert knowledge and big data sources
- Decision support technologies and machine learning in healthcare
- Future trends in health analytics
Learning outcomes
Further information
Studies that include this course
Completion option 1
Completion of all options is required.
Participation in teaching
18.01.2021 – 25.04.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)
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)
Completion option 2
Completion of all options is required.
Exam
01.04.2021 – 31.05.2021
Active in period 4 (8.3.2021–31.5.2021)
Participation in teaching
18.01.2021 – 25.04.2021
Active in period 3 (1.1.2021–7.3.2021)
Active in period 4 (8.3.2021–31.5.2021)