❓How can the same electromagnetic data lead to multiple possible interpretations of the natural environment?
By understanding the non-linear and ill-posed nature of inverse problems — and learning how additional data and prior information can reduce ambiguity.
🎓 Register now for the 2026 edition!
Course: Inverse Problems and Electromagnetic Diagnostics for Environment (IPEDE)
Dates: 16 – 27 November 2026 (2 weeks, 30 hours/week)
Teachers: MASSA Andrea, OLIVERI Giacomo
ECTS: 6
Website: https://www.eledia.org/eledia-unitn/course/2026-2027.LM.IPEDE.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:
- The fundamental problems of electromagnetic detection, diagnostics, and imaging
- The difference between forward and inverse problems in environmental diagnostics
- How inverse problems can be addressed through estimation and appraisal
- Why non-linearity and ill-posedness can lead to multiple admissible solutions
- How richer data collections and additional information can improve solution reliability
- Physics-based methods, a priori information, iterative information-acquisition techniques, and example-driven approaches
Whether you are interested in environmental monitoring, electromagnetic imaging, or inverse-problem methodologies, this course will provide you with the tools to interpret ambiguous EM data and obtain more reliable diagnostic solutions.
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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