Course contents This course focuses on the thermal and energy performance of the built environment, addressing the urgent need for decarbonization in the building sector. The programme investigates the energy dynamics of building envelopes and plant systems, providing doctoral candidates with the methodologies to conduct detailed energy audits, simulations, and environmental assessments. The curriculum begins with an introduction to the thermal and energy properties of building envelopes, establishing the boundary conditions necessary for rigorous design and energy analysis. Detailed modules cover the performance of building components and technical devices, exploring the energy dynamics of the entire structure. A significant portion [...]

Course unit contents Within the framework of personalized medicine, this course provides an overview of advanced geometric modeling techniques for the digital and physical fabrication of anatomical replicas. The training focuses on the transition from clinical data acquisition to the realization of personalized medical devices through a combination of theoretical lectures and practical demonstrations. The curriculum covers the general principles of Reverse Engineering and the various methods for acquiring internal and external anatomical data (such as CT and MRI scans). Students will explore freeform and surface modeling techniques designed for the high-fidelity creation of anatomical parts. Furthermore, the course [...]

Course contents Model Order Reduction (MOR) is a key technique for decreasing the computational complexity of mathematical models in numerical simulations. This course explores the relationship between MOR and metamodeling, highlighting its versatile applications across all areas of mathematical modeling and engineering where high-fidelity simulations are required. The curriculum introduces the main numerical approaches used to perform Model Order Reduction, with a detailed focus on the Proper Orthogonal Decomposition (POD). Students will examine the theoretical foundations of the POD algorithm and its practical implementation. The course features a hands-on component where the POD algorithm is applied to accelerate time-domain simulations [...]

Course contents This course investigates the principles and applications of unsteady gas dynamics within the context of turbomachinery. The programme explores the behavior of compressible flow under the high-speed conditions characteristic of modern gas turbines and compressors, with a specific focus on unsteady flow phenomena and the numerical modeling techniques essential for performance optimization. The curriculum provides a solid foundation in the theory of hyperbolic systems, specifically focusing on the Euler equations of gas dynamics and non-stationary compressible flows. Key topics include the theory of characteristics and its application to conservative systems, as well as the study of Riemann problems, [...]

Course contents Particle Image Velocimetry (PIV) has evolved from a specialized, high-cost tool into a widely accessible optical measurement technique across numerous engineering disciplines. This course examines the principles of PIV as a minimally intrusive diagnostic method for fluid dynamics research, highlighting how advancements in sCMOS digital sensors and laser sources have broadened its application in both academic and industrial facilities. The curriculum integrates theoretical foundations with practical experimental strategies, covering component selection criteria to optimize system setups for specific fluid dynamic problems. While focusing on fundamental configurations such as 2D Mono and Stereo PIV, the course also introduces advanced [...]

July 17, 2016 @ 8:00 am
July 17, 2019 @ 5:00 pm

Course unit contents This course provides fundamental knowledge, theory, and practical insights for researchers addressing the complex challenges associated with particulate materials and powder flowability. The programme bridges the gap between microscopic particle properties and macroscopic flow behavior, essential for optimizing industrial processes involving granular media. The course is organized into two core modules. The first section examines the key physical properties and characterization methods for particulate materials, including particle morphology, size distribution, apparent density, and porosity. This includes a detailed analysis of solid-solid contact interactions and the definition of cohesion. The second section focuses on the mechanics of [...]

Course contents This course provides an advanced exploration of Life Cycle Assessment (LCA) methodologies, following the international standards ISO 14040 and 14044. The programme focuses on the environmental evaluation of energy systems, providing doctoral candidates with the analytical tools to monitor and improve the sustainability performance of products and services throughout their entire life cycle. The curriculum covers the four fundamental stages of LCA: goal and scope definition, inventory analysis, impact assessment, and interpretation. Students will examine the most widely used models and updated databases for inventory analysis, specifically focusing on the proper evaluation of reference systems for electricity and [...]

Course unit contents Despite the rapid rise of data-driven methodologies, physics-based modeling remains a crucial, flexible, and adaptable tool for engineering research. This course provides a practical introduction to transient heat transfer and building physics modeling, leveraging the Python programming language to bridge theoretical foundations with computational implementation. The programme begins with a brief introduction to Python, covering data structures, control loops, essential libraries, and data visualization. Students will then progress to developing their first models, specifically investigating 1D heat transfer through solid elements and the dynamics of radiant panels. The course extends into more complex architectural modeling, including [...]