Programme at the glance
The Honours Programme (HP) in Advanced Methods in Engineering (AME-HP) is a career-driven post-graduate programme training outstanding students on the forefront topics of engineering, including advanced computational methods, uncertainty quantification, risk mitigation, innovative materials, and smart infrastructure.
It is developed for top students in engineering who wish to pursue an academic Ph.D. School; or address a job career in engineering consulting firms and institutions, R&D departments of international companies, research agencies, and engineering service providers.
The programme lasts 7 months (April to October each year) and includes 18 ECTS encompassing fundamental courses, specialty courses, hard skill development, and an industrial or academic placement.
Prof. Marco Broccardo
Board of lecturers:
Prof. P. Baggio, Prof. D. Bigoni, Prof. M. Broccardo Prof. O. S. Bursi, Prof. F. Dal Corso, Prof. L. Deseri, Prof. A. Gajo, Prof. M. Guerrieri, Prof. D. Misseroni, Prof. N. Pugno, Prof. N. Tondini, Prof. D. Zonta
The final rankings are available in the download section.
Historically, civil engineers design, maintain and ensure the safety of structures and infrastructure systems, which represent the backbones of our societies. Nowadays, this social contract still lies at the heart of our profession, research, and education. However, it is also evident that new challenges have changed the practice in several ways during the last decades and have broadened its scope.
The rise of megacities and the development of smart infrastructural systems, the reliability and resilience of aging infrastructural systems, and the increase of extreme events are just some of the problems that civil engineers are facing. These challenges are also crucial opportunities to develop new cutting-edge research at the boundary between different disciplines. In fact, both research and education are witnessing a constant blurring of the separation between civil engineering and other engineering and science disciplines.
The Honours Programme Advanced Methods in Engineering (AME-HP) is a short postgraduate academic path that aims to attract and select a small number of outstanding students, provide them with high-level education, and direct their career towards a Ph.D. (all courses will be officially recognized as credits for the DICAM Ph.D. program) or a research-oriented industry. The AME-HP goal is twofold: first, to give a taste of the new problems facing our discipline; second, to be an active actor in solving these challenges.
Due to the COVID-19 pandemic, all courses of the Honours Programme will be also offered online. Courses will be offered either in the form of blended teaching, with some students present and others online, or as pure online courses.
University of Trento and DICAM
UniTN is a Research-Intensive University located in the Autonomous Province of Trento in northeastern Italy. Located in the Dolomites' heart, a UNESCO World Heritage Site, Trento is ranked among the best Italian and European cities for quality of life. UniTN is constantly ranked among the best Italian and European Research Universities, given its ability to attract competitive European funding, particularly ERC grants of excellence. Part of the core expertise and assets of DICAM are theoretical and computational mechanics and geomechanics, uncertainty quantification, fire engineering, and seismic engineering. These competencies are the pillars of the honours programme in Advanced Methods in Engineering.
Numerus clausus and selection procedure
The number of available positions is limited. This number is set by the Board of Lecturers yearly and is expected to range from 2 to 6. The call for applications is published every year in July. The AME-HP is open to graduates and students enrolled in the second year of study in a Master's degree in Civil engineering (LM-23), Environmental Engineering (LM-35), Architectural Engineering (L-M4), Environmental meteorology (LM-75), Energy engineering (LM-30), Computer Engineering (LM-32), Mechanical Engineering (LM-33), Chemical Engineering (LM-22), Physical-mathematical modeling for engineering (LM-44), Mathematics (LM-40), and Physics (LM-17). Moreover, it is open to master students in one of the areas listed above at other Italian universities and foreign universities.
Students admitted to the interview/aptitude test will be notified by Monday 16 January 2023.
The interviews will take place on Monday 23 January 2023.
Why is this honors program special?
The AME-HP attracts and recruits outstanding students and provides them with advanced education to improve career development and personal background. Learning topics include methodologies for advanced computational methods, uncertainty quantification, risk mitigation, innovative materials, and smart infrastructure. The program enhances the student's talent by providing a well-defined personal development curriculum. This is intended to help the student toward their professional placement, both industrial and academic. The program is tuition-free.
The Honours Programme recognizes the diversity of backgrounds and career ambitions of the students. Therefore, the curriculum will be personalized to the individual in view of their personal background and career perspective. At the start of the programme, the student is assigned an academic Tutor, who mentor the student to define specific learning objective and advise them on the preparation of a personalized curriculum. Students and tutors build a personalized curriculum by picking from the following learning activities:
|A||Up to 12||Background courses||Course assessment|
|B||Up to 12||Specialty courses||Course assessment|
|C||Up to 3||Hard skill development||Tutor approval|
|D||Up to 12||Industrial, research, or academic placement||Certificate|
|E||Up to 3||Seminars||Attendance|
|F||1||Final workshop||Board of Lectures approval|
A- The Background courses are a subset of the course catalog of the concurrent DICAM Modelling and Simulation Honours Program (ModSim HP). The goal of these courses is twofold: first, to cover in detail the fundamentals of physics and mathematical methods for advanced engineering applications; second, to allow the selection of specific topics of interest from the DICAM ModSim HP. The selection of background courses is reported below.
|A02||Advanced numerical methods for hyperbolic conservation laws and geophysical flows||M. Dumbser & V. Casulli||6|
|A03||Advanced computational solid mechanics||A. Piccolroaz||6|
|A04||Modeling and simulation of turbulence||Visiting Professor||6|
|A05||Molecular Dynamics: a primer with elements of statistical mechanics||P. Scardi||6|
|A06||Introductory nonlinear mechanics of soft biological tissues||L. Deseri||6|
|A07a||Modeling hydrological systems with Geoframe||A. Bellin, A. Marzadri||6|
|A07b||Modeling flow and transport in porous media||A. Bellin, A. Marzadri||6|
|A08||Modeling and simulation of integrated river eco-morphodynamics||W. Bertoldi, A. Siviglia, M. Toffolon, G. Zolezzi||6|
|A09||Numerical modeling of weather and climate||S. Bordoni, L. Giovannini, D. Zardi||6|
|A10||Remote sensing and advanced geomatics for environmental applications||A. Vitti, G. Benciolini||6|
B- Specialty courses are advanced engineering courses offered at the DICAM Ph.D. School, which defines and characterizes the student's curriculum. The covered topics include (but are not limited to) methodologies for advanced computational methods, uncertainty quantification, risk mitigation, innovative materials, and smart infrastructure. The list of courses is updated every year before the official call for applications. In addition to this list, the student can choose from the learning activities of the DICAM Ph.D. programme.
|B01||Introduction to Uncertainty Quantification and Machine Learning (UQ&ML) for Engineering Science||M. Broccardo||3|
|B02||Nonlinear thermomechanical problems in structural fire analysis||N. Tondini||2|
|B03||Extreme Mechanics of Solids and Structures||L. Deseri, D. Bigoni, F. Dal Corso||3.5|
|B04||Mechanics of Metastructures and Metamaterials||N. Pugno, D. Misseroni||2|
|B05||Risk estimates of process plants and design of linear and nonlinear lattice materials-based shields for enhanced performance||O.S. Bursi||3|
|B06||Systems and strategies for healthy, resilient, and sustainable buildings||Baggio, A. Prada||2|
|B07||Traffic Simulation||M. Guerrieri||2|
|B08||Special topics in computational mechanics (Offers changes yearly based on professors visiting DICAM)||Visiting Professor||3|
|B09||Special topics in structural design - Offers changes yearly based on professors visiting DICAM)||Visiting Professor||3|
|B10||Engagement in Scientific Research||Tutor||6|
C- Hard skills development: develop the ability to use special software or instruments, as required by the development of the student’s learning objectives.
D- Placement: a 2-month post-graduate curricular stage in the industry (such as A22, RFI, ASPI) or laboratory facility (e.g.: ISPRA, UniTN).
E- Seminars: Reorganization of the existing research seminars given by visiting professors at DICAM, or offered through the DICAM Ph.D. school
.F- Final workshop: at the end of the programme, the student presents their achievements in an open workshop attended by the Board of Lectures, who formally assess the student has accomplished their learning objective.
At the beginning of the programme, a personalized curriculum is prepared by the student with the aid of their Tutor in view of their career objective, either industrial or academic. The following picture illustrates examples of possible curricula, addressing the preparation for a doctoral career in engineering, either methodological or experimental, or targeting an industrial placement.
Courses syllabi – Specialty Courses
B01- Introduction to Uncertainty Quantification and Machine Learning (UQ&ML) for Engineering Science
In recent decades, the rapid increase in computing power and data acquisition is not only impacting research in several disciplines but is also radically changing the tools and scope of engineering science. In the context of civil engineering, this class aims to take a deep dive into this transformation by uncovering two important disciplines: Uncertainty Quantification (UQ) and Machine Learning (ML). In particular, UQ aims to analyze and manage the impact of uncertainties in physical and engineering systems. In this class, ML refers to learning from data and updating uncertainties related to a statistics-based model, or to a physics-based model. The first part of the course introduces basic ideas and formalism of UQ, such as probabilistic modeling of uncertainties and data, UQ forward analysis by means of Monte-Carlo-based simulations (standard and advanced techniques), and Gaussian process metamodeling of expensive computational models. The second part of the class focuses on Bayesian statistical learning, Markov Chain Monte Carlo algorithms (including Hamiltonian Monte Carlo), and variational inference. The final object of the course is twofold: to provide the right formalism so that a student can read the current literature in these two research areas, and to clearly show the applications and the vast potential of these methods in the field of engineering.
B02- Nonlinear thermomechanical problems in structural fire analysis
The course on nonlinear thermomechanical problems in structural fire design aims at describing the behavior of steel and concrete structures at elevated temperatures. In particular, thermal analysis notions will be given through finite element formulation. At the material level, the nonlinear modeling of steel and concrete at high temperatures and how their constitutive laws are integrated in a finite element framework will be described. Moreover, at the element level, large displacement analysis, which is paramount to capturing the behavior of structural systems under fire, will be discussed. More details will be given for the corotational formulation, which decomposes the motion of an element into a rigid body part and a pure deformational part and allows for different nonlinear material descriptions in the local formulation. Several practical examples will be shown to highlight the application of the aforementioned concepts, whilst practical hands-on sessions with laboratory exercises are foreseen to implement parts of the tools provided in the course.
A03- Advanced computational solid mechanics
(A.Piccolroaz, currently offered at LM Civil)
This course introduces advanced computational methods for linear and nonlinear solid mechanics. In particular, the behavior and stability of complex structures like plates and shells are analyzed in detail. The course also deals with the problems associated with thermo-elasticity and the optimization of structures. The course makes use of the variational formulation of Lagrangian mechanics.
B03- Extreme Mechanics of Solids and Structures"
(L. Deseri, D. Bigoni, F. Dal Corso)
Applications regarding events entailing large-to-extreme deformations and high-stress concentrations do require a strong background in the field of the nonlinear mechanics of solids and structures. Understanding and mastering the principles governing such nonlinearities is key for analyzing and designing systems under working conditions that cannot be captured through standard methodologies. In this course, the basics of nonlinear solid and structural mechanics will be provided. A special focus will be on cases of extreme deformations at the macroscopic and sub-macroscopic length scale. The stress-strain behavior of deformable isotropic and multiscale (hierarchical) solids will be studied at large strains. Elastic and inelastic behavior, such as geometric nonlinearities, swelling, plasticity, growth, fracture, impacts, etc. will be addressed in the course. Extreme events in solids and structures and related stresses will be a specific focus of this module, including small-on-large mechanical analysis of structural materials (artificial, bioinspired, and biomaterials) for engineering applications.
The extreme deformation of an elastic beam compared with the formation of a drop
B04- Mechanics of Metastructures and Metamaterials
(N. Pugno, D. Misseroni)
Metamaterials are artificial materials invented to reach mechanical performances impossible with ordinary materials. Metastructures represent the new paradigm for vibration insulation and mechanical wave filtering and conditioning. Metamaterials are used for the design of so-called 'invisibility cloaks', devices implemented in several fields. In particular, a building invisible to an earthquake is unaffected by vibrations and therefore safe, so invisibility, a concept born in electromagnetism, is an important research target for seismic engineering and vibration protection. The course will address the development of tools, such as Floquet-Bloch analysis of periodic structures, and concepts used in the design of metamaterials for applications in civil and mechanical engineering.
B05-Risk estimates of process plants and design of linear and nonlinear lattice materials-based shields for enhanced performance
(Oreste S. Bursi)
The scope of the course is to provide basic knowledge of linear and nonlinear tools for risk analysis of process plants solved by means of the Finite Element Method. With regard to dynamic problems, the main properties of modal reduction and numerical integrators for the determination of the transient dynamic linear and non-linear response of monolithic structural components/systems are presented. Thus, ad hoc computational methods are presented for the evaluation of seismic hazard analysis, and fragility functions along with a few applications to petrochemical and refrigerated liquified gas (RLG) storage plants. As regards problems involving metamaterials, the course gently introduces key concepts and some fundamental theories for the elastodynamics of lattice materials, wave propagation in damped materials, and some issues on nonlinear lattice materials. Finally, the use of finite optimized lattice resonant metamaterials for industrial structural components/systems subjected to stochastic (earthquake) loadings is presented together with concepts of random vibration. Hands-on sessions with computer laboratory exercises are provided.
B06- Systems and strategies for healthy, resilient, and sustainable buildings
(P. Baggio, A. Prada)
The purpose of this short course is to deliver to the future civil engineer a basic knowledge about the role of advanced systems in buildings both to promote the energy transition toward a de-carbonized energy infrastructure and to protect occupants against health risks. The main focus will be on knowing the status of a building (i.e. metering energy use, measuring indoor air quality and comfort parameters), applying multi-objective optimization techniques to achieve better performance and efficient interaction with the grid (optimizing HVAC systems, storage, predictive and rule-based control strategies, demand management, energy communities, etc.) and about keeping the indoor spaces healthy and safe (with, in particular, appropriate ventilation strategies capable to limit the diffusion of infectious diseases and improve the indoor air quality)
B07- Traffic simulation
This course introduces advanced computational methods for traffic simulation. In particular, the macroscopic and microscopic traffic models are analyzed in detail. The course covers theoretical and technical aspects associated with the design criteria of road and highway infrastructures and the optimization of safety devices. The course makes use of well-known road design and traffic microsimulation software.
B08- Advanced Thermodynamics
(C. Della Volpe)
The course provides a broad overview of thermodynamics through a number of targeted tutorials. The Callen approach; Fundamental functions and their properties. Some correlation with the economy production functions. The Prigogine approach; the introduction of time. The stability of a thermodynamic system; the Gibbs approach and the Lyapunov approach. The endoreversible approximation and its applications. The irreversibility, its possible origin: the gravity hypothesis (Smolin-Ben Jacob approach). The linear regime and its stability; Onsager relations; Minimum entropy production. The non-linear regime; oscillating systems; Is there a general evolution criterion? The MEP criterion. Some practical applications of irreversible thermodynamics are the Ludder bands, the thermocouple, multicomponent diffusion, electrokinetic phenomena, thermoelectric phenomena, and some metallurgy techniques. The surface's thermodynamics. From Leonardo to Prigogine's models of a surface. The wettability: its equations and its applications. The experimental evaluation of the contact angle. The acid-base theory of the surface tension.
B09- Special topics in computational mechanics
A specialty course in computational mechanics on a topic changing yearly, offered by a traveling professor visiting the University of Trento. The particular topic is approved every year by the Board of Lecturers before the Programme starts.
B10- Special topics in structural design
A specialty course in structural design on a topic changing yearly, offered by a traveling professor visiting the University of Trento. The particular topic is approved every year by the Board of Lecturers before the Programme starts.
B11- Engagement in Scientific Research
The student is engaged in the development of an original research topic and is trained in the scientific method and writing. The credit is awarded on submission of an original research paper.
This honors program is co-founded by the MIUR departments of excellence initiative 2018-2022