MATH-660 / 2 credits

Teacher: Nobile Fabio

Language: English


Frequency

Only this year

Summary

This course will review modern techniques for parameter and state estimation in a Bayesian framework for models involving differential equations, with particular attention to the high dimensional setting.

Content

Resources

Moodle Link

In the programs

  • Exam form: Oral presentation (session free)
  • Subject examined: Numerical methods for data assimilation
  • Lecture: 20 Hour(s)
  • Practical work: 16 Hour(s)

Reference week

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