Information updated until 30/06/2026 CODE 98215 ACADEMIC YEAR 2026/2027 CREDITS 10 cfu anno 2 ENGINEERING TECHNOLOGY FOR STRATEGY AND SECURITY 11994 (LM/DS) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/01 LANGUAGE English TEACHING LOCATION GENOVA MODULES Questo insegnamento è composto da: APPLIED REINFORCEMENT LEARNING STRATEGIC PROGRAMS OVERVIEW Strategic programs: Adopting a multidisciplinary approach, the course deals with the management of complex projects, offering participants tools and methodologies for project management analysis and implementation. Autonomous agents: The course will provide an introduction to the methods for designing and implementing autonomous agents through Reinforcement Learning (RL) techniques. AIMS AND CONTENT LEARNING OUTCOMES Applied Reinforcement Learning and Strategic Programs aims at introducing students to the theory and practice of Reinforcement Learning algorithms and strategic management and optimization. At the end of the module the Student will be able to critically analyze and use state of the art algorithms and be proactive within an organization dealing with international programs and to use main methodologies for project management. PREREQUISITES An elementary operational knowledge of the python programming language is required. TEACHERS AND EXAM BOARD FRANCESCO BELLOTTI Ricevimento: On appointment: mail (francesco.bellotti@unige.it) or on Teams or after lecture ELVEZIA-MARIA CEPOLINA Ricevimento: please send an email to: elvezia.maria.cepolina@unige.it. we will fix an appointment MARCO GOTELLI Ricevimento: An appointment must be arranged by email. RICCARDO BERTA Ricevimento: Appointments. Writing to riccardo.berta@unige.it LESSONS LESSONS START https://corsi.unige.it/10728/p/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy OpenBadge SOFT SKILLS - Alfabetica avanzato 1 - A SOFT SKILLS - Personale avanzato 1 - A SOFT SKILLS - Imparare a imparare base 1 - A SOFT SKILLS - Creazione progettuale avanzato 1 - A
