Course unit, curriculum year 2023–2024
DATA.ML.390
Computational Diagnostics of Data, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 1 (1.8.2023–22.10.2023)
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Active in period 5 (1.6.2024–31.7.2024)
Course code
DATA.ML.390Language of instruction
EnglishAcademic years
2022–2023, 2023–2024Level of study
Advanced studiesGrading scale
General scale, 0-5Persons responsible
Responsible 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
04.03.2024 – 29.04.2024
Active in period 4 (4.3.2024–31.5.2024)
Exam
23.08.2023 – 23.08.2023
Active in period 1 (1.8.2023–22.10.2023)
18.01.2024 – 18.01.2024
Active in period 3 (1.1.2024–3.3.2024)
29.04.2024 – 05.05.2024
Active in period 4 (4.3.2024–31.5.2024)
03.06.2024 – 09.06.2024
Active in period 5 (1.6.2024–31.7.2024)