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Percorso della pagina
  1. Postgraduate
  2. PhD School
  3. Doctoral programs' teaching activities
  4. Chemical, Geological and Environmental Sciences / Scienze Chimiche, Geologiche e Ambientali
  5. 2023-2024
  6. Curricular - Geology
  1. Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
  2. Summary
Course full name
Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
Course ID number
2324-1-124R026
Course summary SYLLABUS

Course Syllabus

  • Italiano ‎(it)‎
  • English ‎(en)‎
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Titolo

**Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
**

Docente(i)

Nicola Piana Agostinetti

Lingua

English

Breve descrizione

The module presents Monte Carlo (MC) algorithms as tools for the solution of a number of geophysical inverse problems. The module covers an introduction on inverse problem theory and basic concepts about Monte Carlo approach. Three MC algorithms will be presented to solve: (a) a fixed dimension inverse problem; (b) a trans-dimensional inverse problem and (c) an inverse problem using a "Hierarchical Bayes" approach. Algorithms presentation will put emphasis on the fundamental phases of the analysis of the inverse problem and the development of the MC algorithm. Students will be actively involved in the course, encouraged to present their own inverse problems with the aim of stimulating discussion about possible MC algorithms for their solution. A laptop running a FORTRAN compiler and GMT (https://www.generic-mapping-tools.org/) is requested.

Evaluation: NO

CFU / Ore

2 CFU - 20 Hours (8h lecture - 12h laboratory training)

Periodo di erogazione

I semester: March 2024

Export

Title

**Monte Carlo Approach to Geophysical Inverse Problem: An Introduction
**

Teacher(s)

Nicola Piana Agostinetti

Language

English

Short description

The module presents Monte Carlo (MC) algorithms as tools for the solution of a number of geophysical inverse problems. The module covers an introduction on inverse problem theory and basic concepts about Monte Carlo approach. Three MC algorithms will be presented to solve: (a) a fixed dimension inverse problem; (b) a trans-dimensional inverse problem and (c) an inverse problem using a "Hierarchical Bayes" approach. Algorithms presentation will put emphasis on the fundamental phases of the analysis of the inverse problem and the development of the MC algorithm. Students will be actively involved in the course, encouraged to present their own inverse problems with the aim of stimulating discussion about possible MC algorithms for their solution. A laptop running a FORTRAN compiler and GMT (https://www.generic-mapping-tools.org/) is requested.

Evaluation: NO

CFU / Hours

2 CFU - 20 Hours (8h lecture - 12h laboratory training)

Teaching period

I semester: March 2024

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Key information

Field of research
GEO/11
ECTS
2
Course Length (Hours)
20

Staff

    Teacher

  • Nicola Piana Agostinetti
    Nicola Piana Agostinetti

Students' opinion

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