PERIODO: - MARZO 2018 Engineering problems are characterized by a growing complexity that motivates the need to both manage interactions among multi-physics systems and contain analysis and development cost. While complexity is often mentioned as a challenge, it can also be an opportunity to improve system design and performance. Many strategies, algorithms and architectures have been proposed in the last decades and are commonly referred to as Multidisciplinary Design Optimization (MDO) methodologies. MDO largely grew in the domain of aerospace sciences, but currently comprises approaches to address the optimal design of a diverse spectrum of multidisciplinary and multi-component engineering systems. Another active area of research regards strategies to reduce computational burden and analysis cost, in particular through variable-fidelity methods. A multifidelity approach combines analysis models characterized by different levels of accuracy and may include approximations obtained with reduced order modeling and surrogate modeling techniques. This course aims to familiarize the students with this ensemble of methodological frameworks, tools and approaches that can be applied to a variety of engineering problems, from design analysis and optimization to multi-source information handling.

Course Calendar Lecture room: DIMEAS Sala Riunioni 3rd floor Cohort/team activity room: DIMEAS Sala Audiovisivi 1st floor. • March 19, 2018: 10am-12pm (DIMEAS Sala Audiovisivi 1st floor) • March 20, 2018: 10am-12pm | 2pm-5pm • March 21, 2018: 10am-12pm | 2pm-5pm • March 22, 2018: 10am-12pm | 2pm-5pm • March 23, 2018: 10am-12pm

...

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.