❓How can optimization algorithms turn EM data into reliable infrastructure diagnostics?
By combining deterministic precision with nature-inspired intelligence to solve complex electromagnetic inverse problems.
🎓 Register now for the 2026 edition!
Course: Optimization Methods for Electromagnetic Diagnostics of Civil Infrastructures (OMCI)
Dates: 14 September – 22 December 2026 (Semester I)
Teachers: MASSA Andrea, ROCCA Paolo
ECTS: 6
Website: https://www.eledia.org/eledia-unitn/course/2026-2027.LM.OMCI.UniTN.TRENTO.IT/
The Master Course is taught in 🇬🇧️ ENGLISH and is offered
- On-site
- On-line (synchronous and asynchronous)
Video recordings, hand-outs, etc. of the lectures will be available off-line!
In this course, you’ll explore:
- How deterministic methods such as Steepest Descent and Conjugate Gradient solve inverse problems
- How nature-inspired stochastic algorithms search for optimal solutions in complex diagnostic scenarios
- Competitive optimization strategies, including Genetic Algorithms and Differential Evolution
- Cooperative optimization approaches, such as Particle Swarm Optimization and Ant Colony Optimization
- Hands-on exercises on canonical inverse problems and EM diagnostics of civil infrastructures
- How to compare deterministic and stochastic algorithms through performance, reliability, and solution quality
Whether you’re interested in infrastructure monitoring, electromagnetic imaging, or optimization algorithms — this course gives you the methodological tools to solve the unseen through EM inversion.ological tools to solve the unseen through EM inversion.
Teaching Activities:
- Theoretical Lessons
- e-Xam Self Assessment (each teaching class or periodically)
- MATLAB Hands-On
- e-Xam Final Assessment
Fees:
UniTN Students: FREE
EXTERNAL Students:
- 216€ : First course
- 180€ : Every course from the second one
The fees include the course teaching, slides/material, and video recordings.
📌 Register here.
Discover our didactic offer at:
https://www.eledia.org/eledia-unitn/course_degree/degree-master/
Questions? Reach us at: didattica@eledia.org
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