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Data analysis and machine learning
Individual course
If you are taking this course as part of a FITech minor, please note that all minors will be offered for the last time in the academic year 2021-2022. Please check the individual courses for updates regarding future availability.
The aim of this course is to learn different techniques for modeling dynamic systems using data and understand the limitation of data-based models.
Content:
Review of statistical concepts
Stochastic disturbances
Model types suitable for describing static and dynamical systems
- linear difference equations (finite and infinite impulse response models)
- neural networks
- support vector machines
Fitting of models to data using
- linear regression
- numerical optimization
Classification models
- introduction to deep learning
More information in Åbo Akademi’s study guide.
Responsible teacher
Åbo Akademi
Jari Böling
jari.boling(at)abo.fi
Contact person for applications
FITech Network University
Fanny Qvickström, Student services specialist
info(at)fitech.io
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Category:
Technical studies
Topic:
Industrial engineering and management
Course code:
PS00CD54
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
10.3.–7.5.2022
Application deadline:
Application period has ended
Host university:
Åbo Akademi University
Study is open for:
Adult learner,
Degree student
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English