Degree education | Degree programme | Study module | Course unit | Teaching schedule
DATA.ML.390

Computational Diagnostics of Data, 5 ECTS

University
Faculty of Information Technology and Communication Sciences
Faculty of Medicine and Health Technology
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

Teaching periods

I
II
III
IV

Course code

DATA.ML.390

Main teaching language

English

Academic year

2020–2021

Level of study

Advanced studies

Grading scale

General scale, 0-5

Persons responsible

Responsible teacher
Susanna Ketola
Responsible teacher
Frank Emmert-Streib

Learning outcomes

Prerequisities

Further information

Learning material

Substitutions

Studies that include this course

Completion option 1

In English.
Completion of all options is required.

Participation in teaching

No scheduled teaching

Exam

No scheduled teaching

Teaching periods

I
II
III
IV

Course code

DATA.ML.390

Main teaching language

English

Academic year

2020–2021

Level of study

Advanced studies

Grading scale

General scale, 0-5

Persons responsible

Responsible teacher
Susanna Ketola
Responsible teacher
Frank Emmert-Streib

Completion option 1

In English.
Completion of all options is required.

Participation in teaching

No scheduled teaching

Exam

No scheduled teaching