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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.

Mastering the prerequisite skills is very important in order to complete 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 recognize 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 course 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 , Head of study services
pilvi.lempiainen(at)fitech.io
Start here
Start here
Category:
ICT Studies
Topic:
AI and machine learning
Course code:
CS-E5710
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
7.9.–11.12.2020
Application deadline:
31.8.2020
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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