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2019 FLOW/INTERFACE School on Machine Learning and Data Driven Methods

FLOW/INTERFACE Winter School 2019

For basic information about the School, please see the brochure FLOW-school2019-info.pdf (pdf 139 kB)
The places will be allocated on a first come, first serve basis.

The lectures will be given in the KTH main campus. Please see the schedule below for the location, which is different each day. The Google map position opens by clicking "map" next to the room name.

Regarding the accommodation for course participants, one can choose a hotel ( sv.hotels.com/ ) which is not too far and not too expensive. In the same time the subway system in Stockholm works perfect and you can reach the campus within 30 minutes from any place in the city. Please see the link below on how to reach the KTH campus:


A: Introduction to Machine Learning and regression
(Josephine Sullivan and Luca Guastoni)
B: Neural Networks (Josephine Sullivan and Luca Guastoni)
C: Physics-constrained data-driven methods for chaotic flows (Luca Magri)
D: Deep Reinforcement Learning (Jean Rabault)
E: Introduction to Uncertainty Quantification (Saleh Rezaeiravesh)

Monday 2nd December
Place: Room W37,
10:00-10:05 Welcome
10:05-12:45 A. Introduction to Machine Learning and regression - J. Sullivan
Notes on kth.box.com
13:00-14:00 Lunch Quantum restaurang
14:00-15:00 A. Hands-on - L. Guastoni
​​​​​​​https://github.com/lguas/FLOW19_MLSchool ​​​​​​​
15:00-15:30 Coffee break
15:30-17:30 E. Introduction to Uncertainty Quantification - S. Rezaeiravesh
Notes on kth.box.com

Tuesday 3rd December
Place: Room E3, map

9:00-10:15 B. Neural networks - J. Sullivan
10:15-10:35  Coffee break
10:35-11:45 B. J. Sullivan cont.
12:00-13:00 Lunch Quantum restaurang
13:30-15:00 C. Physics-constrained data-driven methods for chaotic flows - L. Magri
15:00-15:30 Coffee break
15:30-17:00 C. L. Magri cont.

Wednesday 4th December
Place: Room W37, map

9:00-10:15 C. L. Magri cont.
10:15-10:35  Coffee break
10:35-11:45 C. L. Magri cont.
12:00-13:00 Lunch Quantum restaurang
13:30-15:30 B. Hands-on - L. Guastoni
15:30-16:00 Coffee break
16:00-17:00 E. Hands-on - S. Rezaeiravesh

Thursday 5th December
Place: Room B1, map

9:00-10:15 D. Deep reinforcement learning - J. Rabault
10:15-10:35 Coffee break
10:35-11:45 D. Jean Rabault cont.
12:00-13:00 Lunch Quantum restaurang
13:30-15:00 D. Jean Rabault cont.
15:00-15:30 Coffee break
15:30-16:45 D. Jean Rabault cont.
16:45-17:00 Summary and final words
20:00 School dinner, Restaurang Cypern

For the school dinner, you need to register at the latest on Monday 2/12,
including your choice of chicken/vegetarian main course and possible dietary restrictions. Use the link in the email sent to you.

Computer prerequisites:

To participate in the lectures/hands-on sessions, you will need a Laptop running Linux (preferred). Please make sure that the following software packages are installed (and working).

Innehållsansvarig:Ardeshir Hanifi
Tillhör: FLOW
Senast ändrad: 2021-02-07