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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Probabilistic and Bayesian methods for uncertainty quantification 
 of deterministic and stochastic differential equations
DTSTART:20210903T171500
DTSTAMP:20260506T195121Z
UID:021de25fc601b0a04dd30f787c37c9156b8e0a538ec4ab42005d697f
CATEGORIES:Thesis defenses
DESCRIPTION:Giacomo GAREGNANI\nThesis Director: Prof. A. Abdulle\nMathemat
 ics doctoral program\nThesis Nr. 8711\n\nTo take part in the public defen
 se via Zoom\, please contact directly the speaker
LOCATION:CM 1 5 https://plan.epfl.ch/?room==CM%201%205
STATUS:CONFIRMED
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END:VCALENDAR