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Course unit, curriculum year 2023–2024
DATA.ML.390

Computational Diagnostics of Data, 5 cr

Tampere University
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.390
Language of instruction
English
Academic years
2022–2023, 2023–2024
Level of study
Advanced studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Frank Emmert-Streib
Responsible 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)