Seminari - Dipartimento Informatica Seminari - Dipartimento Informatica validi dal 17.12.2025 al 17.12.2026. https://www.di.univr.it/?ent=seminario&lang=it&rss=0 Algorithms to Build and Understand the Human Pangenome https://www.di.univr.it/?ent=seminario&lang=it&rss=0&id=6856 Relatore: Erik Garrison; Provenienza: University of Tennessee; Data inizio: 2025-12-17; Ora inizio: 8.30; Note orario: Aula T06; Referente interno: Rosalba Giugno; Riassunto: Mini-course (6 hours) on quot;Algorithms to Build and Understand the Human Pangenomequot; within the course quot;Programming for Bioinformaticsquot; in the Master Programme in Medical Bioinformatics 17 Dicembre 2025 - Dalle 8:30 alle 11:30 - Aula T06 18 Dicembre 2025 - Dalle 10:30 alle 13:30 - Aula T06. Wed, 17 Dec 2025 08:30:00 +0100 https://www.di.univr.it/?ent=seminario&lang=it&rss=0&id=6856 Computational methods for data-driven optimal control (1 ECTS, SSD: MAT08) https://www.di.univr.it/?ent=seminario&lang=it&rss=0&id=6726 Relatore: Dante Kalise; Provenienza: Imperial College London; Data inizio: 2025-12-17; Ora inizio: 16.30; Note orario: online; Referente interno: Giacomo Albi; Riassunto: This course introduces the fundamental ideas and computational methods behind optimal control and data-driven modelling.In this short course, we will study how to incorporate elements of machine learning into optimal control design. The course will focus on fundamentals on optimal control: dynamic optimization, linear-quadratic control, dynamic programming and Pontryagin#39;s maximum principle. Nonlinear optimal control. Approximation methods in high dimensions are also discussed such as polynomial approximation, deep neural networks. Optimization techniques: LASSO regression, stochastic gradient descent, training neural networks. Finally, combining the first two parts, we will study the construction of data-driven schemes for the approximation of high-dimensional nonlinear control laws. The course will be held online at following link: https://univr.zoom.us/j/82606978180 Meeting ID: 826 0697 8180 SCHEDULE: Wed 17/12, 16:30-18:00, Fri 19/12 11:30-13:00, Mon 22/12 16:30-18:00 . Wed, 17 Dec 2025 16:30:00 +0100 https://www.di.univr.it/?ent=seminario&lang=it&rss=0&id=6726