Educational objectives Educational objectives
The course is designed to provide students with advanced training aimed at understanding the processes controlling the properties and behaviour of geomaterials, through an interdisciplinary approach integrating mineralogical, chemical, and mechanical aspects.
Within this framework, the course aims to develop both theoretical and applied competencies related to the characterization of geomaterials and to the understanding of the relationships among composition, structure, physicochemical properties, and macroscopic behaviour. The knowledge and skills acquired are broadly applicable across the main fields of geosciences, with particular reference to contexts in which the assessment of the characteristics and performance of natural geological materials is required.
Learning outcomes
At the end of the course, students are expected to have acquired the knowledge and skills required for the characterization of natural geomaterials and for the correct interpretation of the relationships among composition, structure, and behaviour.
In particular, students will be able to:
know the theoretical and methodological foundations for the study of geomaterials;
describe and interpret the main mineralogical, chemical, and mechanical characteristics of geomaterials;
apply methods and analytical tools for the characterization of geomaterials;
process and interpret experimental data related to the composition, structure, and properties of geomaterials;
correlate microstructural and compositional features with the macroscopic behaviour of geomaterials;
apply the acquired knowledge in different applied fields of geosciences.
Dublin Descriptors
Knowledge and understanding
Students will acquire knowledge of the main mineralogical, chemical, and mechanical aspects characterizing geomaterials, as well as an understanding of the relationships among composition, structure, properties, and behaviour.
Applying knowledge and understanding
Students will be able to apply the acquired knowledge to the characterization of natural geomaterials, using analytical methods and interpretative tools appropriate to different study contexts.
Making judgements
Students will develop the ability to critically analyse data and experimental results, formulating independent evaluations concerning the properties and behaviour of geomaterials.
Communication skills
Students will be able to communicate clearly, rigorously, and appropriately the disciplinary contents, the results of the activities carried out, and the interpretations developed, also through practical exercises, discussions, and group activities.
Learning skills
Students will develop the ability to further explore the topics covered independently, making use of the theoretical, methodological, and applied tools acquired during the course.
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Educational objectives Learning Objectives (Developing competences)
The course aims to provide students with methodological and operational skills for the management, statistical analysis, and visualization of complex geoscientific datasets. Through an integrated approach combining theory and practice, the course introduces the informed use of scientific programming tools in Python/Jupyter and specialized software, with the goal of developing quantitative skills applied to geosciences.
The course is structured into two complementary modules:
Data Management, Processing, and Visualization, focused on the analysis of structural datasets (fault orientations, stress field analysis) and subsurface data (well logs, stratigraphic data), with applications to stress field inversion and slip tendency analysis, integrating statistical theory with real case studies.
Data Acquisition and Computational Analysis with Python, centered on the analysis and processing of seismological, geodetic, and distributed fiber-optic sensing (DAS) data. Through Python-based exercises, the module introduces key signal processing techniques in both the time and frequency domains (Fourier analysis), filtering, regression, and physical parameter estimation, with applications to seismological datasets. The module also covers geodetic data, including satellite SAR/InSAR, for the study of surface deformation. Finally, it addresses the integration of multiple datasets for the analysis of geophysical processes, including applications to seafloor bathymetry, as well as introductory concepts in the modeling and interpretation of gravity anomalies, heat flow, and continental geotherms.
Learning Outcomes
At the end of the course, students will be able to:
organize and manage complex geoscientific datasets, applying quality control and preprocessing techniques;
use Python/Jupyter environments and scientific libraries for data analysis, modeling, and visualization;
apply statistical methods (error estimation and propagation, regression, interpolation) to real-world geoscience problems;
analyze and interpret structural and subsurface data to reconstruct stress fields and tectonic processes;
process geophysical signals using time- and frequency-domain techniques (Fourier analysis and filtering);
analyze and interpret geophysical data (seismological, geodetic, and DAS);
apply basic physical models for the interpretation of gravity anomalies and heat conduction processes;
integrate multiple datasets for the interpretation of complex geological phenomena, with particular emphasis on volcanic settings;
produce effective graphical representations and visualizations, including three-dimensional representations;
critically interpret results, assessing their limitations and uncertainties, and communicate them according to academic and industry standards.
The course, combining theoretical lectures with hands-on exercises on real datasets, is designed to develop independent working skills, critical thinking, and advanced quantitative competencies relevant to both professional and research careers in geosciences.
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Educational objectives Developing competences and expected learning outcomes
Educational goals: The course aims to give the student a basic understanding of how Earth’s geodynamics work and the origin and evolution of sedimentary basins. The issues used to explore these themes integrates all geosciences which contribute to unravel the Earth’s structure and evolution.
Learning outcomes: Successful students will be able to interpret the geometry and evolution of plate boundaries all over the world.
Successful students will be able to apply their knowledge in risk assessments, oil exploration, basic researches in geodynamics.
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Educational objectives General Learning Objectives
Develop advanced skills in geological field analysis applied to exploration
Integrate facies analysis and field mapping for the reconstruction of depositional models and their geometries
Develop expertise in criteria and methods for field mapping in volcanic setting
Specific Objectives – Module Geo 2
Acquire, manage, and georeference field data and produce a geological map using a GIS software
Measure detailed stratigraphic sections, core descriptions, and well logs
Correlate stratigraphic sections and reconstruct depositional geometries and stratigraphic architecture in major depositional systems
Understand the impact of diagenesis on porosity and permeability
Evaluate heterogeneity and continuity of sedimentary bodies
Use stratigraphic characteristics of outcrops as reservoir analogues
Specific Objectives – Module Geo 8
Acquire knowledge of volcanic products and landforms
Reconstruct and interpret volcanic successions in terms of eruptive mechanisms and emplacement processes
Collect field data for the reconstruction of eruptive parameters
Gain knowledge of regional volcanology
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Educational objectives Each student may choose among the courses at La Sapienza University any combination of courses up to 12 credits, provided that the chosen courses are approved by the CAD
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Educational objectives Each student may choose among the courses at La Sapienza University any combination of courses up to 12 credits, provided that the chosen courses are approved by the CAD
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Educational objectives Internship at public or private institutions or laboratories, in Italy or abroad.
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Educational objectives The credits allocated for the final exam are used to write a research thesis upon which the theoretical and practical skills of the candidate will be evaluated by an internal commission.
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