{"id":990,"date":"2025-01-07T15:19:22","date_gmt":"2025-01-07T14:19:22","guid":{"rendered":"https:\/\/as-ai.org\/?page_id=990"},"modified":"2026-02-25T15:20:43","modified_gmt":"2026-02-25T14:20:43","slug":"corsi","status":"publish","type":"page","link":"https:\/\/as-ai.org\/?page_id=990","title":{"rendered":"Mater in Intelligenza Artificiale"},"content":{"rendered":"\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-2da35f2\" data-block-id=\"2da35f2\"><p class=\"stk-block-text__text has-text-align-justify\">Lo studente ha la libert\u00e0 di scegliere tra due percorsi: partecipare all&#8217;<strong>intero programma<\/strong> (Full School) per un&#8217;esperienza formativa completa, oppure <strong>selezionare specifici moduli <\/strong>per creare un percorso su misura, perfettamente adattato ai propri obiettivi, interessi e necessit\u00e0 di apprendimento.<\/p><\/div>\n\n\n\n<div class=\"wp-block-stackable-text stk-block-text stk-block stk-298b162\" data-block-id=\"298b162\"><p class=\"stk-block-text__text\">Potete calcolare il costo del vostro percorso di apprendimento personalizzato attraverso il modulo di pre-iscrizione<a href=\"https:\/\/as-ai.org\/?page_id=494\"> qui<\/a>.<\/p><\/div>\n\n\n\n<table class=\" alignleft\" style=\"width: 0%; border-collapse: collapse; border-style: solid;\">\n<tbody>\n<tr style=\"height: 41px;\">\n<td style=\"width: 19.6333%; height: 41px; background-color: #468ecb; border-style: solid;\"><b>MODULI<\/b><\/td>\n<td style=\"width: 7.51959%; height: 41px; background-color: #468ecb; border-style: solid;\"><b>ORE<\/b><\/td>\n<td style=\"width: 22.8472%; height: 41px; background-color: #468ecb; border-style: solid;\"><b>CORSI<\/b><\/td>\n<td style=\"width: 0.9891%; height: 41px; background-color: #468ecb; border-style: solid;\"><b>ORE<\/b><\/td>\n<td style=\"width: 23.3207%; height: 41px; background-color: #468ecb; border-style: solid;\"><b>INSEGNANTE<\/b><\/td>\n<td style=\"width: 16.3679%; height: 41px; background-color: #468ecb; border-color: #468ecb; border-style: solid;\"><b>PROPEDEUTICITA&#8217;<\/b><span style=\"color: #000000;\"><b><br \/><\/b><\/span><\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 19.6333%; height: 41px; border-style: solid;\"><span style=\"font-weight: 400;\">FULL SCHOOL<\/span><\/td>\n<td style=\"width: 7.51959%; height: 41px; text-align: center; border-style: solid;\">262<\/td>\n<td style=\"width: 22.8472%; height: 41px; border-style: solid;\"><span style=\"font-weight: 400;\">TUTTI I CORSI<\/span><\/td>\n<td style=\"width: 0.9891%; height: 41px; text-align: center; border-style: solid;\">262<\/td>\n<td style=\"width: 0%; height: 0%; border-style: solid;\"><span style=\"font-weight: 400;\">Tutti<\/span><\/td>\n<td style=\"width: 16.3679%; height: 41px; text-align: center; border-style: solid;\"><span style=\"font-weight: 400;\">&#8211;<\/span><\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 19.6333%; height: 414px; border-style: solid;\" rowspan=\"5\"><span style=\"font-weight: 400;\">INTRODUCTION AND SEMINARS<\/span><span style=\"color: #000000;\"><span style=\"font-weight: 400;\"><br \/><\/span><\/span><span style=\"font-weight: 400;\"><br \/><\/span><\/td>\n<td style=\"width: 7.51959%; height: 414px; text-align: center; border-style: solid;\" rowspan=\"5\">16<\/td>\n<td style=\"width: 22.8472%; height: 62px; border-style: solid;\">Introduction to the School and AI<\/td>\n<td style=\"width: 0.9891%; height: 62px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 62px; border-style: solid;\">Baldassarre \/ Caligiore<\/td>\n<td style=\"width: 16.3679%; height: 414px; text-align: center; border-style: solid;\" rowspan=\"5\"><span style=\"font-weight: 400;\">No propedeuticit\u00e0<\/span><br \/><span style=\"font-weight: 400;\"><br \/><\/span><\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 22.8472%; height: 41px; border-style: solid;\">Job in the digital era<\/td>\n<td style=\"width: 0.9891%; height: 41px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 41px; border-style: solid;\">Morabito<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 22.8472%; height: 83px; border-style: solid;\">Prosthetics and biomedical robotics<\/td>\n<td style=\"width: 0.9891%; height: 83px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 83px; border-style: solid;\">Zollo<\/td>\n<\/tr>\n<tr style=\"height: 41px;\">\n<td style=\"width: 22.8472%; height: 41px; border-style: solid;\">Robotics for Elder Care<\/td>\n<td style=\"width: 0.9891%; height: 41px; text-align: center; border-style: solid;\">2<\/td>\n<td style=\"width: 23.3207%; height: 41px; border-style: solid;\">Fracasso\u00a0<\/td>\n<\/tr>\n<tr style=\"height: 187px;\">\n<td style=\"width: 22.8472%; height: 187px; border-style: solid;\">Collective Intelligence for Decision Support: Theory, Practice and Applications in Medical Diagnostics<\/td>\n<td style=\"width: 0.9891%; height: 187px; text-align: center; border-style: solid;\">2<\/td>\n<td style=\"width: 23.3207%; height: 187px; border-style: solid;\">Trianni<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 19.6333%; height: 208px; border-style: solid;\" rowspan=\"2\"><span data-sheets-root=\"1\">PYTHON PROGRAMMING AND DEPLOYMENT<\/span><\/td>\n<td style=\"width: 7.51959%; height: 208px; text-align: center; border-style: solid;\" rowspan=\"2\">38<\/td>\n<td style=\"width: 22.8472%; height: 104px; border-style: solid;\">Python, Basic programming tools (Anaconda, Colab)<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 104px; border-style: solid;\">28<\/td>\n<td style=\"width: 23.3207%; height: 104px; border-style: solid;\">Tamantini<\/td>\n<td style=\"width: 16.3679%; height: 208px; border-style: solid;\" rowspan=\"2\"><span style=\"font-weight: 400;\">No propedeuticit\u00e0<\/span><\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 22.8472%; height: 104px; border-style: solid;\"><span data-sheets-root=\"1\">Application Versioning (github) and Deployment (docker, web app)<\/span><\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 104px; border-style: solid;\">10<\/td>\n<td style=\"width: 23.3207%; height: 104px; border-style: solid;\">Moscatelli<\/td>\n<\/tr>\n<tr style=\"height: 28px;\">\n<td style=\"width: 19.6333%; height: 182px; border-style: solid;\" rowspan=\"4\">MATHS AND PROGRAMMING<\/td>\n<td style=\"width: 7.51959%; height: 182px; text-align: center; border-style: solid;\" rowspan=\"4\">30<\/td>\n<td style=\"width: 22.8472%; height: 28px; border-style: solid;\">Maths for AI<\/td>\n<td style=\"width: 0.9891%; height: 28px; text-align: center; border-style: solid;\">12<\/td>\n<td style=\"width: 23.3207%; height: 28px; border-style: solid;\"><span style=\"font-weight: 400;\">Baldassarre<\/span><\/td>\n<td style=\"width: 16.3679%; height: 182px; border-style: solid;\" rowspan=\"4\"><span style=\"font-weight: 400;\">No propedeuticit\u00e0<\/span><br \/>\n<p>\u00a0<\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 78px;\">\n<td style=\"width: 22.8472%; height: 78px; border-style: solid;\">Linear Algebra for AI with Python<\/td>\n<td style=\"width: 0.9891%; height: 78px; text-align: center; border-style: solid;\">10<\/td>\n<td style=\"width: 23.3207%; height: 78px; border-style: solid;\"><span style=\"font-weight: 400;\">Caligiore<\/span><\/td>\n<\/tr>\n<tr style=\"height: 53px;\">\n<td style=\"width: 22.8472%; height: 53px; border-style: solid;\">Basic statistic for AI<\/td>\n<td style=\"width: 0.9891%; height: 53px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 53px; border-style: solid;\"><span style=\"font-weight: 400;\">Capirchio<\/span><\/td>\n<\/tr>\n<tr style=\"height: 86px;\">\n<td style=\"width: 22.8472%; height: 23px; border-style: solid;\">Probability theory for AI<\/td>\n<td style=\"width: 0.9891%; height: 23px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 23px; border-style: solid;\">Cartoni<\/td>\n<\/tr>\n<tr style=\"height: 81px;\">\n<td style=\"width: 19.6333%; height: 143px; border-style: solid;\" rowspan=\"4\">MACHINE LEARNING BASICS<\/td>\n<td style=\"width: 7.51959%; height: 143px; text-align: center; border-style: solid;\" rowspan=\"4\">58<\/td>\n<td style=\"width: 22.8472%; height: 51px; border-style: solid;\">Big data analysis with Pandas<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 51px; border-style: solid;\">8<\/td>\n<td style=\"width: 23.3207%; height: 51px; border-style: solid;\">Cecconi<\/td>\n<td style=\"width: 16.3679%; height: 143px; border-style: solid;\" rowspan=\"4\">\n<p>\u00a0<\/p>\n<span style=\"font-weight: 400;\">Python programming and Deployment, Maths and programming<\/span><\/td>\n<\/tr>\n<tr style=\"height: 15px;\">\n<td style=\"width: 22.8472%; height: 15px; border-style: solid;\">Numerical optimisation<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 15px; border-style: solid;\">8<\/td>\n<td style=\"width: 23.3207%; height: 15px; border-style: solid;\">Carli<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 22.8472%; height: 29px; border-style: solid;\">Machine Learning<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 29px; border-style: solid;\">28<\/td>\n<td style=\"width: 23.3207%; height: 29px; border-style: solid;\">Merone<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 22.8472%; height: 48px; border-style: solid;\">Elements of deep learning<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 48px; border-style: solid;\">14<\/td>\n<td style=\"width: 23.3207%; height: 48px; border-style: solid;\">Capirchio<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 19.6333%; height: 608px; border-style: solid;\" rowspan=\"8\">MACHINE LEARNING ADVANCED<\/td>\n<td style=\"width: 7.51959%; height: 608px; text-align: center; border-style: solid;\" rowspan=\"8\">70<\/td>\n<td style=\"width: 22.8472%; height: 83px; border-style: solid;\">Deep Learning for computer vision<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 83px; border-style: solid;\">12<\/td>\n<td style=\"width: 23.3207%; height: 83px; border-style: solid;\">Capirchio<\/td>\n<td style=\"width: 16.3679%; height: 608px; border-style: solid;\" rowspan=\"8\">\n<p><span style=\"font-weight: 400;\"><span data-sheets-root=\"1\">\u00a0<\/span><\/span><\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<br \/>\n<p>\u00a0<\/p>\n<br \/>\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<span style=\"font-weight: 400;\"><span data-sheets-root=\"1\">Python programming and Deployment, Maths and programming, Machine Learning Basics<\/span><\/span><\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 22.8472%; height: 83px; border-style: solid;\">AI Lab: ML vs deep network for motion perception<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 83px; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 83px; border-style: solid;\">Tamantini<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 22.8472%; height: 62px; border-style: solid;\">Natural Language Processing<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 62px; border-style: solid;\">12<\/td>\n<td style=\"width: 23.3207%; height: 62px; border-style: solid;\">Reforgiato<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 22.8472%; height: 62px; border-style: solid;\">AI Lab: Deep networks for NLP<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 62px; border-style: solid;\">8<\/td>\n<td style=\"width: 23.3207%; height: 62px; border-style: solid;\">DePersis<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 22.8472%; height: 62px; border-style: solid;\">Time series analysis, Transformers<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 62px; border-style: solid;\">16<\/td>\n<td style=\"width: 23.3207%; height: 62px; border-style: solid;\">Bacco \/ D&#8217;Antoni<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 22.8472%; height: 48px; border-style: solid;\">Data augmentation<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 48px; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 48px; border-style: solid;\">D&#8217;Amore<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 22.8472%; height: 104px; border-style: solid;\">Large Language Models: prompting, RAG<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 104px; border-style: solid;\">8<\/td>\n<td style=\"width: 23.3207%; height: 104px; border-style: solid;\">Basile<\/td>\n<\/tr>\n<tr style=\"height: 104px;\">\n<td style=\"width: 22.8472%; height: 104px; border-style: solid;\">Development and Deployment of LLM Web App<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 104px; border-style: solid;\">6<\/td>\n<td style=\"width: 23.3207%; height: 104px; border-style: solid;\">Gnocchi<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 19.6333%; height: 338px; border-style: solid;\" rowspan=\"4\">BRAIN MODELLING<\/td>\n<td style=\"width: 7.51959%; height: 338px; text-align: center; border-style: solid;\" rowspan=\"4\">34<\/td>\n<td style=\"width: 22.8472%; height: 48px; border-style: solid;\">AI for system neuroscience<\/td>\n<td style=\"width: 0.9891%; height: 48px; text-align: center; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 48px; border-style: solid;\">Baldassarre \/ Caligiore<\/td>\n<td style=\"width: 16.3679%; height: 338px; border-style: solid;\" rowspan=\"4\">\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p>\u00a0<\/p>\n<p><span style=\"font-weight: 400;\"> <span data-sheets-root=\"1\">Python programming and Deployment, Maths and programming<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 22.8472%; height: 83px; border-style: solid;\">Probabilistic computational models of brain<\/td>\n<td style=\"width: 0.9891%; height: 83px; text-align: center; border-style: solid;\">12<\/td>\n<td style=\"width: 23.3207%; height: 83px; border-style: solid;\">Cartoni<\/td>\n<\/tr>\n<tr style=\"height: 83px;\">\n<td style=\"width: 22.8472%; height: 83px; border-style: solid;\">Firing-rate computational models of brain<\/td>\n<td style=\"width: 0.9891%; height: 83px; text-align: center; border-style: solid;\">12<\/td>\n<td style=\"width: 23.3207%; height: 83px; border-style: solid;\">Baldassarre<\/td>\n<\/tr>\n<tr style=\"height: 124px;\">\n<td style=\"width: 22.8472%; height: 124px; border-style: solid;\">Modelling brain disorders through differential equations<\/td>\n<td style=\"width: 0.9891%; height: 124px; text-align: center; border-style: solid;\">6<\/td>\n<td style=\"width: 23.3207%; height: 124px; border-style: solid;\">Caligiore<\/td>\n<\/tr>\n<tr style=\"height: 166px;\">\n<td style=\"width: 19.6333%; height: 228px; border-style: solid;\" rowspan=\"2\">ETHICAL AND LEGAL ASPECTS OF AI<\/td>\n<td style=\"width: 7.51959%; height: 228px; text-align: center; border-style: solid;\" rowspan=\"2\">12<\/td>\n<td style=\"width: 22.8472%; height: 166px; border-style: solid;\">AI impact: individual, social, and technological anchors when everything changes<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 166px; border-style: solid;\">8<\/td>\n<td style=\"width: 23.3207%; height: 166px; border-style: solid;\">Baldassarre<\/td>\n<td style=\"width: 16.3679%; height: 228px; border-style: solid;\" rowspan=\"2\">\n<p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">No propedeuticit\u00e0<\/span><\/p>\n<\/td>\n<\/tr>\n<tr style=\"height: 62px;\">\n<td style=\"width: 22.8472%; height: 62px; border-style: solid;\">EU and national AI legislation<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 62px; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 62px; border-style: solid;\">Fasano<\/td>\n<\/tr>\n<tr style=\"height: 48px;\">\n<td style=\"width: 19.6333%; height: 48px; border-style: solid;\">STUDENT ASSESSMENT<\/td>\n<td style=\"width: 7.51959%; text-align: center; height: 48px; border-style: solid;\">4<\/td>\n<td style=\"width: 22.8472%; height: 48px; border-style: solid;\">Final students test<\/td>\n<td style=\"width: 0.9891%; text-align: center; height: 48px; border-style: solid;\">4<\/td>\n<td style=\"width: 23.3207%; height: 48px; border-style: solid;\">Caligiore<\/td>\n<td style=\"width: 16.3679%; height: 48px; border-style: solid;\">\u00a0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lo studente ha la libert\u00e0 di scegliere tra due percorsi: partecipare all&#8217;intero programma (Full School) per un&#8217;esperienza formativa completa, oppure selezionare specifici moduli per creare un percorso su misura, perfettamente adattato ai propri obiettivi, interessi e necessit\u00e0 di apprendimento. Potete calcolare il costo del vostro percorso di apprendimento personalizzato attraverso il modulo di pre-iscrizione qui. &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/as-ai.org\/?page_id=990\" class=\"more-link\">Leggi tutto<span class=\"screen-reader-text\"> &#8220;Mater in Intelligenza Artificiale&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-990","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/as-ai.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=990"}],"version-history":[{"count":54,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/990\/revisions"}],"predecessor-version":[{"id":1365,"href":"https:\/\/as-ai.org\/index.php?rest_route=\/wp\/v2\/pages\/990\/revisions\/1365"}],"wp:attachment":[{"href":"https:\/\/as-ai.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}