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Course unit, curriculum year 2020–2021
DATA.ML.390
Computational Diagnostics of Data, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 4 (8.3.2021–31.5.2021)
Active in period 5 (1.6.2021–31.7.2021)
Course code
DATA.ML.390Language of instruction
EnglishAcademic year
2020–2021Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Susanna KetolaResponsible teacher:
Frank Emmert-StreibResponsible organisation
Faculty of Information Technology and Communication Sciences 50 %
Faculty of Medicine and Health Technology 50 %
Core content
- Classification of disease groups
- Business intelligence
- Survival analysis
- Genomics data
- Programming in R
- Quantitative assessment of results
- Predictive models
Complementary knowledge
- Computational implementation and interpretation; classification methods
- Data analysis methods for business processes
- Regression models for time-to event processes
- Preprocessing and normalization of gene expression data from microarray experiments
- Usage and programming in the statistical programming language R
- Statistical error measures; resampling techniques
- Linear regression, hypothesis testing; general models in data science
Learning outcomes
Prerequisites
Further information
Learning material
Equivalences
Studies that include this course
Completion option 1
In English.
Completion of all options is required.
Participation in teaching
18.03.2021 – 12.05.2021
Active in period 4 (8.3.2021–31.5.2021)