Data analysis and machine learning

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.