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Bayesian data analysis

Individual course

Max amount of FITech students: 100

Persons without a valid study right to a Finnish university have preference to this course.

Course content:

  • Bayesian probability theory and bayesian inference
  • Bayesian models and their analysis
  • Computational methods, Markov-Chain Monte Carlo

After the course, the student

  • can explain the central concepts in Bayesian statistics and name steps of the Bayesian modeling process
  • can recognise usages for common (i.e. those presented during the course) statistical models, and formulate the models in these situations
  • can compare the most popular Bayesian simulation methods and implement them
  • can use analytic and simulation based methods for learning the parameters of a given model
  • can estimate the fit of a model to data and compare models.

More information on Aalto University’s WebOodi page.

You can get a digital badge after completing this course.

Further information about the studies

Aalto University
FITech ICT contact person
fitech-sci(at)aalto.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Service designer
pilvi.lempiainen(at)fitech.io
Start the application process
Start the application process
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E5710
Credits:
5 ECTS
Level:
Teaching period:
9.9.–5.12.2019
Application deadline:
2.9.2019
Host university:
Aalto University
Study is open for:
Adult learner,
Degree student
Teaching methods:
Blended
Place of contact learning:
Espoo
Language:
English
General prerequisites:
Differential and integral calculus, basics of probability and statistics, basics of programming (R or Python). Recommended: matrix algebra.
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