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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
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
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.
