Program

Week Mon. 26 Tue. 27 Wed. 28 Thu. 29 Fri. 30 List

	Mon. 26	Tue. 27	Wed. 28	Thu. 29	Fri. 30
07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00	Welcome 10:00 - 12:00 (2h) Welcome Welcome of the participants and presentation of the school Lunch 12:00 - 14:00 (2h) Lunch Introduction to Astro Data 14:00 - 15:30 (1h30) Introduction to Astro Data A. Schaaff › Introduction aux données astrophysiques - André Schaaff, CDS 14:00-15:30 (1h30) Coffee break 15:30 - 16:00 (30min) Coffee break TP : Astro Data 16:00 - 17:30 (1h30) TP : Astro Data André Schaaff [Centre de Données astronomiques de Strasbourg] Cocktail 18:00 - 19:00 (1h) Cocktail Dinner 19:30 - 20:30 (1h) Dinner	Breakfast 7:30 - 8:30 (1h) Breakfast Machine Learning: Data preprocessing 8:30 - 10:00 (1h30) Machine Learning: Data preprocessing Valérie Gautard [Commissariat à l'Energie Atomique] › Machine Learning - pré traitement - Valerie Gautard, CEA- Saclay 08:30-10:00 (1h30) Coffee break 10:00 - 10:30 (30min) Coffee break Machine Learning: Automatic Classification 10:30 - 12:00 (1h30) Machine Learning: Automatic Classification Valérie Gautard [Commissariat à l'Energie Atomique] › Machine Learning - Classification - Valerie Gautard, CEA- Saclay 10:30-12:00 (1h30) Lunch 12:00 - 14:00 (2h) Lunch TP : Machine Learning 14:00 - 17:30 (3h30) TP : Machine Learning Valérie Gautard [Commissariat à l'Energie Atomique] Dinner 19:30 - 20:30 (1h) Dinner	Breakfast 7:30 - 8:30 (1h) Breakfast Introduction to MLOps 8:30 - 10:00 (1h30) Introduction to MLOps Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] › Introduction au MLOps - Alexandre Boucaud, APC - Cosmologie 08:30-10:00 (1h30) Coffee break 10:00 - 10:30 (30min) Coffee break TP - MLOps 10:30 - 12:00 (1h30) TP - MLOps Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] Lunch 12:00 - 14:00 (2h) Lunch TP - MLOps 14:00 - 16:00 (2h) TP - MLOps Alexandre Boucaud [Laboratoire AstroParticules et Cosmologie] Excursion Dinner 16:00 - 20:00 (4h) Excursion 19:30 - 20:30 (1h) Dinner	Breakfast 7:30 - 8:30 (1h) Breakfast Deep Learning : Introduction neural networks 8:30 - 10:00 (1h30) Deep Learning : Introduction neural networks Françoise Bouvet [Laboratoire de physique des 2 infinis] › Deep Learning - Réseaux de neurones - Françoise Bouvet, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie 08:30-10:00 (1h30) Coffee break 10:00 - 10:30 (30min) Coffee break Deep Learning : Convolutional networks 10:30 - 12:00 (1h30) Deep Learning : Convolutional networks Françoise Bouvet [Laboratoire de physique des 2 infinis] › Deep Learning - Réseaux convolutifs - Françoise Bouvet, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie 10:30-12:00 (1h30) Lunch 12:00 - 14:00 (2h) Lunch TP : Deep Learning 14:00 - 17:30 (3h30) TP : Deep Learning Françoise Bouvet [Laboratoire de physique des 2 infinis] Dinner 19:30 - 20:30 (1h) Dinner Olympiad AstroInfo 2023 20:30 - 22:30 (2h) Olympiad AstroInfo 2023	Breakfast 7:30 - 8:30 (1h) Breakfast Deep Learning : Normalizing flows 8:30 - 10:00 (1h30) Deep Learning : Normalizing flows Justine Zeghal [Laboratoire AstroParticules et Cosmologie] › Normalizing flows - Justine Zeghal, APC - Cosmologie 08:30-10:00 (1h30) Coffee break 10:00 - 10:30 (30min) Coffee break TP: Normalizing flows 10:30 - 12:00 (1h30) TP: Normalizing flows Justine Zeghal [Laboratoire AstroParticules et Cosmologie] Lunch 12:00 - 14:00 (2h) Lunch TP: Normalizing flows 14:00 - 15:30 (1h30) TP: Normalizing flows Justine Zeghal [Laboratoire AstroParticules et Cosmologie] Scool summary 15:30 - 16:30 (1h) Scool summary end of the 1st week Dinner 19:30 - 20:30 (1h) Dinner

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