119484 - DIGITAL MANAGEMENT OF FOREST AND WATER RESOURCES
-
12
-
-
Learning objectives
The course aims to address the fundamental principles of sustainable forest management and the role of digital management in monitoring and analyzing forest as a support to the actions needed to achieve environmental sustainability objectives. After these premises, the course aims to develop skills in the management of forest geospatial data, including the collection, organization, manipulation and integration of data from different sources. Acquire knowledge of geomatics technologies used for the digital management of forest landscapes, including geographic information systems (GIS), remote sensing, GNSS and 3D modeling. Apply geomatics methods for the analysis and monitoring of forest consistency, including the assessment of forest composition and structure, tree species distribution and identification of habitats of community importance. Learn to use geospatial data and remote sensing techniques to assess the health status of forests, including the identification of insect infestations, forest diseases and fires.
Knowledge and understanding
The course aims to develop in students’ knowledge and understanding skills, such as:
• know and understand which technologies are useful for the analysis of forest systems for applications such as forest inventory;
• know and understand the techniques and technologies that can be used to analyze the spatial and temporal variability of forest ecosystems, by exploiting change detection and time series analysis based on the use of multispectral indices;
• know and understand the methods of development and application of forest geomatics techniques (precision forestry) for sustainable forest management.
Applied knowledge and understanding
The course will allow to apply knowledge and understanding, allowing the student to:
• know and use the main digital systems of proximal sensing for the inventory of forest resources and the acquisition of ground truth;
• know and use the main sensors on board satellite, aerial, drone and terrestrial platforms suitable for precision forestry;
• know and use cloud-based platforms for the analysis of the temporal and spatial variability of forest ecosystems;
• know and use the techniques for the implementation of forecasting models and spatially explicit estimation of the main attributes of forest ecosystems;
• know and use the techniques for mapping and estimating the severity of forest fires.
Making judgements
The course will allow to develop critical sense and the ability to independently formulate judgments at various levels, such as:
• hypothesize monitoring protocols and types of sensors to be used for the inventory of forest resources;
• identify the factors limiting forest growth and the main factors of forest degradation;
• propose effective digital data management for the purposes of forest restoration efforts and sustainable forest management.
Communication skills
The course aims at the development and application of communication skills, such as:
• having the ability to explain the knowledge acquired in a simple and exhaustive way even to non-expert audiences;
• being able to present original works and manuscripts using the Italian or foreign language in an appropriate and correct way;
• using an appropriate and updated technical forestry vocabulary.
Learning skills
The course aims to consolidate self-learning skills, allowing for example:
• to activate a program of continuous updating of one's knowledge;
• to independently identify the ways to acquire information;
• to identify and use the most useful and reliable sources of information and data for personal professional purpose;
• to participate profitably in upgrade courses, masters, seminars, etc.
MODULE II
CIRO APOLLONIO
Second Semester
6
AGR/08
Learning objectives
The course aims to address the fundamental principles of sustainable forest management and the role of digital management in monitoring and analyzing forest as a support to the actions needed to achieve environmental sustainability objectives. After these premises, the course aims to develop skills in the management of forest geospatial data, including the collection, organization, manipulation and integration of data from different sources. Acquire knowledge of geomatics technologies used for the digital management of forest landscapes, including geographic information systems (GIS), remote sensing, GNSS and 3D modeling. Apply geomatics methods for the analysis and monitoring of forest consistency, including the assessment of forest composition and structure, tree species distribution and identification of habitats of community importance. Learn to use geospatial data and remote sensing techniques to assess the health status of forests, including the identification of insect infestations, forest diseases and fires.
Knowledge and understanding
The course aims to develop in students’ knowledge and understanding skills, such as:
• know and understand which technologies are useful for the analysis of forest systems for applications such as forest inventory;
• know and understand the techniques and technologies that can be used to analyze the spatial and temporal variability of forest ecosystems, by exploiting change detection and time series analysis based on the use of multispectral indices;
• know and understand the methods of development and application of forest geomatics techniques (precision forestry) for sustainable forest management.
Applied knowledge and understanding
The course will allow to apply knowledge and understanding, allowing the student to:
• know and use the main digital systems of proximal sensing for the inventory of forest resources and the acquisition of ground truth;
• know and use the main sensors on board satellite, aerial, drone and terrestrial platforms suitable for precision forestry;
• know and use cloud-based platforms for the analysis of the temporal and spatial variability of forest ecosystems;
• know and use the techniques for the implementation of forecasting models and spatially explicit estimation of the main attributes of forest ecosystems;
• know and use the techniques for mapping and estimating the severity of forest fires.
Making judgements
The course will allow to develop critical sense and the ability to independently formulate judgments at various levels, such as:
• hypothesize monitoring protocols and types of sensors to be used for the inventory of forest resources;
• identify the factors limiting forest growth and the main factors of forest degradation;
• propose effective digital data management for the purposes of forest restoration efforts and sustainable forest management.
Communication skills
The course aims at the development and application of communication skills, such as:
• having the ability to explain the knowledge acquired in a simple and exhaustive way even to non-expert audiences;
• being able to present original works and manuscripts using the Italian or foreign language in an appropriate and correct way;
• using an appropriate and updated technical forestry vocabulary.
Learning skills
The course aims to consolidate self-learning skills, allowing for example:
• to activate a program of continuous updating of one's knowledge;
• to independently identify the ways to acquire information;
• to identify and use the most useful and reliable sources of information and data for personal professional purpose;
• to participate profitably in upgrade courses, masters, seminars, etc.
The course aims to address the fundamental principles of sustainable forest management and the role of digital management in monitoring and analyzing forest as a support to the actions needed to achieve environmental sustainability objectives. After these premises, the course aims to develop skills in the management of forest geospatial data, including the collection, organization, manipulation and integration of data from different sources. Acquire knowledge of geomatics technologies used for the digital management of forest landscapes, including geographic information systems (GIS), remote sensing, GNSS and 3D modeling. Apply geomatics methods for the analysis and monitoring of forest consistency, including the assessment of forest composition and structure, tree species distribution and identification of habitats of community importance. Learn to use geospatial data and remote sensing techniques to assess the health status of forests, including the identification of insect infestations, forest diseases and fires.
Knowledge and understanding
The course aims to develop in students’ knowledge and understanding skills, such as:
• know and understand which technologies are useful for the analysis of forest systems for applications such as forest inventory;
• know and understand the techniques and technologies that can be used to analyze the spatial and temporal variability of forest ecosystems, by exploiting change detection and time series analysis based on the use of multispectral indices;
• know and understand the methods of development and application of forest geomatics techniques (precision forestry) for sustainable forest management.
Applied knowledge and understanding
The course will allow to apply knowledge and understanding, allowing the student to:
• know and use the main digital systems of proximal sensing for the inventory of forest resources and the acquisition of ground truth;
• know and use the main sensors on board satellite, aerial, drone and terrestrial platforms suitable for precision forestry;
• know and use cloud-based platforms for the analysis of the temporal and spatial variability of forest ecosystems;
• know and use the techniques for the implementation of forecasting models and spatially explicit estimation of the main attributes of forest ecosystems;
• know and use the techniques for mapping and estimating the severity of forest fires.
Making judgements
The course will allow to develop critical sense and the ability to independently formulate judgments at various levels, such as:
• hypothesize monitoring protocols and types of sensors to be used for the inventory of forest resources;
• identify the factors limiting forest growth and the main factors of forest degradation;
• propose effective digital data management for the purposes of forest restoration efforts and sustainable forest management.
Communication skills
The course aims at the development and application of communication skills, such as:
• having the ability to explain the knowledge acquired in a simple and exhaustive way even to non-expert audiences;
• being able to present original works and manuscripts using the Italian or foreign language in an appropriate and correct way;
• using an appropriate and updated technical forestry vocabulary.
Learning skills
The course aims to consolidate self-learning skills, allowing for example:
• to activate a program of continuous updating of one's knowledge;
• to independently identify the ways to acquire information;
• to identify and use the most useful and reliable sources of information and data for personal professional purpose;
• to participate profitably in upgrade courses, masters, seminars, etc.
1. Introduction to digital forest management
- Electromagnetic radiation and spectral signatures
- Sensors and types of acquisition
- Satellite, airborn and drones platforms
- Characteristics and formats of geospatial data
- Software and cloud-computing platforms for the digital management of the forest resources
2. Field survey
- Acquisition and management of reference data
- GNSS receivers and mobile devices for data acquisition
- Mobile software and app for geographic database management
3. Analysis and monitoring of the forest resources
- Image classification for the forest types mapping
- Forest cover change detection
- Analysis of forest sustainable development indicators
- Forest disturbance dynamics
- Spectral indices and applications in forest health monitoring
4. Forest fire monitoring
- Introduction to forest fire radiometry
- Forest fire mapping
- Estimation of the forest fire severity
5. Modeling principles
- Parametric and non-parametric models
- Spatially explicit prediction and estimation of forest attributes
examMode
The final exam consists of an oral presentation of a topic chosen by the student, among the activities carried out during the course. The student will illustrate the contents of his/her own activity giving account of the objectives, the methodologies adopted and the results obtained. The presentation capacity, completeness and detail of the individual topics discussed will be evaluated. For the attribution of the final grade, the following will be taken into account: the level of knowledge of the contents, the capacity for analysis, synthesis and interdisciplinary connections, the capacity for critical sense and the formulation of judgements, the mastery and clarity of expression and exposition. Upon completion of the presentation, three questions will be asked regarding the course program.
books
Lecture notes, slides and handouts provided by the teacher.
Chirici, G., Corona, P. (2006). Utilizzo di immagini satellitari ad alta risoluzione nel rilevamento delle risorse forestali. Aracne.
Gomarasca, Mario A. (2004). Elementi di geomatica. Associazione Italiana di Telerilevamento, Milano.
Manuale utente e altra documentazione ufficiale presente sul sito di QGIS https://www.qgis.org
mode
Lectures in the classroom, exercises in the computer classroom, exercises in the field.
classRoomMode
Attendance strongly recommended, but not mandatory.
bibliography
Lillesand, T., Kiefer, R. W.,Chipman, J. (2015). Remote sensing and image interpretation. 7th Edition. John Wiley & Sons.
Biallo G. (2005). Introduzione ai sistemi informativi geografici. MondoGIS.
Peter A. Burrough, Rachael A. McDonnell and Christopher D. Lloyd (2015). Principles of Geographical Information Systems. Third edition. Oxford University Press.
Wegmann M., Leutner B., Dech S. (2016). Remote sensing and GIS for ecologists: using open source software. Pelagic Publishing.
Jones H.J., Vaughan R.A. (2010). Remote sensing of vegetation: principles, techniques and applications. Oxford University Press.
119428 - TRAINING
First Semester
2
119420 - ENERGY SUPPLIES
FULVIO PAOLO BUZZIFULVIO PAOLO BUZZI
First Semester
6
ING-IND/08
Learning objectives
The course aims to describe energy sources, their conversion and transformation, their use and rationalization. Once the primary and secondary forms of energy have been introduced, attention is focused on conservation principles applied to energy systems. Then conventional steam power plants are studied, followed by gas turbines, and internal and external combustion engines used as energy systems. Renewable power plants and direct conversion power plants are discussed. The final and rational use of energy, recovery and energy saving are also studied. Furthermore, the course will allow the acquisition of basic multidisciplinary skills to design, build and use economic analysis models of energy plants and systems so as to be able to evaluate the performance and applications of different energy systems, being also able to compare the specificity of each system and choose the best coupling solution between a given energy end use and the available energy conversion systems.
The objectives of the course according to the Dublin descriptors are as follows:
Knowledge and understanding
Understand the fundamental principles of energetics from a technical and economic point of view.
Applied knowledge and understanding
Through the development of case studies, the student will be encouraged to develop an application capacity on the methodologies and techniques acquired.
Making judgements
Being able to apply the acquired knowledge to solve simple and non-simple problems thanks to the multidisciplinary knowledge obtained.
Communication skills
Being able to explain, both in written and oral form, the problem and possible solutions to simple situations concerning energy supply.
Learning skills
Knowing how to collect information from textbooks and other materials for the autonomous solution of problems related to energy supply.
PART 1 (industrial services, 24 hours)
- Introduction to service systems;
- Fluid distribution systems;
- Pipeline assembly and protection;
- Sizing of distribution networks;
- Industrial water service;
- Compressed air service;
- Thermal systems and steam service;
- HVAC.
PART 2 (energy management, 24 hours)
- Energy and characterization of energy consumption;
- Energy efficiency and energy benchmarking;
- Introduction to Energy Management Systems (EMS) and the UNI EN 16001:2009 standard;
- Tariffs: electricity and gas;
- Renewable sources and incentives.
examMode
Oral exam
books
- Monte A., “Elementi di Impianti Industriali”, Ed. Cortina;
- E. Giacone, P. Gabriele, S. Mancò, Gestione dei sistemi energetici, editore Politeko.
classRoomMode
Not mandatory.
bibliography
- Monte A., “Elementi di Impianti Industriali”, Ed. Cortina;
- E. Giacone, P. Gabriele, S. Mancò, Gestione dei sistemi energetici, editore Politeko.
PART 1 (industrial services, 24 hours)
- Introduction to service systems;
- Fluid distribution systems;
- Pipeline assembly and protection;
- Sizing of distribution networks;
- Industrial water service;
- Compressed air service;
- Thermal systems and steam service;
- HVAC.
PART 2 (energy management, 24 hours)
- Energy and characterization of energy consumption;
- Energy efficiency and energy benchmarking;
- Introduction to Energy Management Systems (EMS) and the UNI EN 16001:2009 standard;
- Tariffs: electricity and gas;
- Renewable sources and incentives.
examMode
Oral exam
books
- Monte A., “Elementi di Impianti Industriali”, Ed. Cortina;
- E. Giacone, P. Gabriele, S. Mancò, Gestione dei sistemi energetici, editore Politeko.
classRoomMode
Not mandatory.
bibliography
- Monte A., “Elementi di Impianti Industriali”, Ed. Cortina;
- E. Giacone, P. Gabriele, S. Mancò, Gestione dei sistemi energetici, editore Politeko.
119467 - ENVIRONMENTAL QUALITY MONITORING
ELEONORA COPPA
First Semester
6
AGR/13
Learning objectives
The course aims to provide students with knowledge about the main natural and anthropogenic factors capable of influencing environmental balances in a context of climate change and sustainable development. The course will delve into the environmental dynamics that define the natural balances between soil, water, and air, as well as the indicators used to assess their quality.
Knowledge and understanding
The course aims to develop students' knowledge and understanding, particularly regarding environmental quality monitoring. This includes understanding the techniques for monitoring environmental quality by first deepening their knowledge of the quality characteristics of soil, air, and water systems. A fundamental aspect is understanding the limits of application or interpretation of various quality indicators in relation to the reference system or environmental situation in which they are applied. The course also intends to provide adequate knowledge of the nutrient dynamics in the soil (nitrogen, phosphorus, and sulfur cycles) and the organic matter cycle. Additionally, the course will explore the effects of significant pollutants, such as heavy metals, the environmental issues related to their presence in the environment, and remediation strategies.
Applied knowledge and understanding
The course enables the application of knowledge by developing practical laboratory skills and the ability to derive information from laboratory activities to support and integrate theoretical lessons.
Making judgements
The course fosters the development of students’ autonomy in assessing soil, water, and air quality, and integrating various systems to define environmental quality. This is achieved through understanding the fundamental chemical and physical characteristics of soil, air, and water, as well as the natural and anthropogenic factors that have caused imbalances in these characteristics, leading to environmental degradation and quality loss.
Communication skills
The course provides the ability to present acquired knowledge using appropriate language and technical terms.
Learning skills
To improve their learning abilities, it is essential for students to attend lessons and independently utilize the provided materials. This approach supports continuous knowledge updating, allowing students to identify the most effective strategies for gathering information. Furthermore, it is crucial to develop the ability to independently update one's knowledge by conducting keyword searches and consulting texts, bibliographic databases, and significant scientific publications at both national and international levels.
Knowledge and understanding
The course aims to provide the necessary knowledge for the evaluation of phenotypes and their genetic bases in order to learn the body's responses to different environmental situation and to be able to favor those most suited to specific needs. The basics of modern genetic analysis from sequencing to the evaluation of genomes and biodiversity will also be provided.
Applied knowledge and understanding
The course deals with genotypic and genomic characterization (morpho-bio-molecular markers; automation in field genotyping - NGS, DNA barcoding, genotyping by sequencing; population genetics; management of natural populations), phenotypic characterization (tolerance traits abiotic stress observation and parameterization; phenotyping of the individual, populations and communities; analysis of point and area data, from multispectral analysis to phenotype), from genotype to phenotype (gene regulation; phenotypic plasticity; epi-genetics), the exploitation of germplasm (characterization, enhancement and conservation of germplasm; general principles and application to case studies).
Making judgments
Know how to decide the best genetic evaluation and biodiversity conservation methodologies to use in different situations.
Communication skills
Acquire technical terminology to communicate information, ideas, problems and solutions clearly and in detail to the scientific and public community.
Learning skills
Develop learning skills necessary to undertake further studies with a high degree of autonomy.
The course deals with genotypic and genomic characterization (morpho-bio-molecular markers; automation in field genotyping - NGS, DNA barcoding, genotyping by sequencing; population genetics; management of natural populations), phenotypic characterization (tolerance traits abiotic stress observation and parameterization; phenotyping of the individual, populations and communities; analysis of point and area data, from multispectral analysis to phenotype), from genotype to phenotype (gene regulation; phenotypic plasticity; epi-genetics), the exploitation of germplasm (characterization, enhancement and conservation of germplasm; general principles and application to case studies).
examMode
It will be verified that the expected learning outcomes are acquired by the students. The exhibition capacity, completeness and detail of the individual topics requested will be assessed. The ability to link the different topics will also be considered. For the attribution of the final mark, account will be taken of: the level of knowledge of the contents shown (superficial, appropriate, precise and complete, complete and thorough), the ability to analyze, summarize and interdisciplinary links (sufficient, good, excellent), the capacity for critical sense and the formulation of judgments (sufficient, good, excellent), the mastery of expression (poor, simple, clear and correct, safe and correct exposition). In particular, the final judgment and grade will consider the knowledge and concepts acquired, the ability to analyze problems, to connect interdisciplinary knowledge, to formulate hypotheses and judgments, to master and clarity of expression and exposure.
books
Genetica. Un approccio molecolare. Ediz. MyLab. di Peter J. Russell (Autore), Carla Cicchini (a cura di), Alessandra Marchetti (a cura di) Pearson Ed ISBN 8891906964
Genetica molecolare. Biologia molecolare del gene di L. Sanguini (Autore), M. Cerofolini (Autore). Edizioni Esagono. ISBN 8843360159
Genetica e biologia molecolare di Peter H. Raven (Autore), G. B. Johnson (Autore), K. A. Mason (Autore), Jonathan B. Losos (Autore), S. R. Singer (Autore). PICCIN ED ISBN 8829929522
Dispense
mode
Lectures, classroom exercises, laboratory and field exercises.
classRoomMode
Presence + on-line
bibliography
Genetica. Un approccio molecolare. Ediz. MyLab. di Peter J. Russell (Autore), Carla Cicchini (a cura di), Alessandra Marchetti (a cura di) Pearson Ed ISBN 8891906964
Genetica molecolare. Biologia molecolare del gene di L. Sanguini (Autore), M. Cerofolini (Autore). Edizioni Esagono. ISBN 8843360159
Genetica e biologia molecolare di Peter H. Raven (Autore), G. B. Johnson (Autore), K. A. Mason (Autore), Jonathan B. Losos (Autore), S. R. Singer (Autore). PICCIN ED ISBN 8829929522
The course deals with genotypic and genomic characterization (morpho-bio-molecular markers; automation in field genotyping - NGS, DNA barcoding, genotyping by sequencing; population genetics; management of natural populations), phenotypic characterization (tolerance traits abiotic stress observation and parameterization; phenotyping of the individual, populations and communities; analysis of point and area data, from multispectral analysis to phenotype), from genotype to phenotype (gene regulation; phenotypic plasticity; epi-genetics), the exploitation of germplasm (characterization, enhancement and conservation of germplasm; general principles and application to case studies).
examMode
It will be verified that the expected learning outcomes are acquired by the students. The exhibition capacity, completeness and detail of the individual topics requested will be assessed. The ability to link the different topics will also be considered. For the attribution of the final mark, account will be taken of: the level of knowledge of the contents shown (superficial, appropriate, precise and complete, complete and thorough), the ability to analyze, summarize and interdisciplinary links (sufficient, good, excellent), the capacity for critical sense and the formulation of judgments (sufficient, good, excellent), the mastery of expression (poor, simple, clear and correct, safe and correct exposition). In particular, the final judgment and grade will consider the knowledge and concepts acquired, the ability to analyze problems, to connect interdisciplinary knowledge, to formulate hypotheses and judgments, to master and clarity of expression and exposure.
books
Genetica. Un approccio molecolare. Ediz. MyLab. di Peter J. Russell (Autore), Carla Cicchini (a cura di), Alessandra Marchetti (a cura di) Pearson Ed ISBN 8891906964
Genetica molecolare. Biologia molecolare del gene di L. Sanguini (Autore), M. Cerofolini (Autore). Edizioni Esagono. ISBN 8843360159
Genetica e biologia molecolare di Peter H. Raven (Autore), G. B. Johnson (Autore), K. A. Mason (Autore), Jonathan B. Losos (Autore), S. R. Singer (Autore). PICCIN ED ISBN 8829929522
Dispense
mode
Lectures, classroom exercises, laboratory and field exercises.
classRoomMode
Presence + on-line
bibliography
Genetica. Un approccio molecolare. Ediz. MyLab. di Peter J. Russell (Autore), Carla Cicchini (a cura di), Alessandra Marchetti (a cura di) Pearson Ed ISBN 8891906964
Genetica molecolare. Biologia molecolare del gene di L. Sanguini (Autore), M. Cerofolini (Autore). Edizioni Esagono. ISBN 8843360159
Genetica e biologia molecolare di Peter H. Raven (Autore), G. B. Johnson (Autore), K. A. Mason (Autore), Jonathan B. Losos (Autore), S. R. Singer (Autore). PICCIN ED ISBN 8829929522
119419 - DIGITAL TOURISM MANAGEMENT
MARIAVITTORIA ALBINI
Second Semester
6
SPS/10
Learning objectives
The aim of the Digital Tourism Management course is to accompany the class on a journey of knowledge of the state of the art of digital strategies in the tourism sector. A particular focus will be on digital strategies for incoming tourism in mountain environments.
Knowledge and understanding
The course aims to develop in students knowledge and understanding regarding:
• the historical evolution of the main tourism practices;
• the new trends and practices of digital tourism;
• the opportunities offered by the PNRR for the development of tourism 4.0;
• tourism promotion strategies in the digital age;
• tourism as a driving force for the relaunch of internal and mountain areas.
Ability to apply knowledge and understanding
The course will allow students to use the knowledge acquired to:
• describe the dynamics that characterize the tourism universe at local, national and international level;
• hypothesize digital solutions suitable for the mountain environment;
• design and implement an effective tourism communication campaign through digital tools.
Autonomy of judgment
Students must be able to independently evaluate:
• the strengths and weaknesses of a constantly evolving world;
• any critical issues in governance in terms of digitalization;
• the relationships and interactions between the issues of competitiveness and sustainability.
Communication skills
The course will facilitate the development and application of communication skills, such as:
• the ability to present a final report to an external audience;
• the ability to use appropriate and up-to-date technical vocabulary;
• the ability to work in a team.
Learning skills
At the end of the course, students will have consolidated their learning skills, learning to:
• independently identify ways to acquire information;
• identify and use the most useful sources of information for personal development.
Knowledge and understanding
The course aims to develop knowledge and critical understanding of agricultural policy and the functioning of agri-food markets. Specifically, it focuses on:
a) the economic processes shaping national and international agri-food markets and the structural evolution of the agri-food system;
b) the role of European Union Agricultural Policies in managing agricultural markets, promoting environmental sustainability, influencing the economic performance and decisions of farms, and supporting rural development.
Applying knowledge and understanding
The knowledge and analytical skills acquired will be applied to the real economic contexts in which graduates will operate.
Making judgements
The objective is to enable students to develop independent judgment on issues related to the economic sustainability of agricultural sectors, production activities within the agri-food system, and agri-food market dynamics.
Communication skills
The course also aims to strengthen communication skills necessary for professional activities related to the implementation of agricultural and rural development policies and the functioning of agri-food markets.
Learning skills
It seeks to foster a continuous learning capacity, allowing graduates to adapt to the ongoing evolution of agricultural and rural development policies as well as market conditions.
MODULE II
LUIGI BIAGINI
First Semester
5
AGR/01
Learning objectives
Knowledge and understanding
The course aims to develop knowledge and critical understanding of agricultural policy and the functioning of agri-food markets. Specifically, it focuses on:
a) the economic processes shaping national and international agri-food markets and the structural evolution of the agri-food system;
b) the role of European Union Agricultural Policies in managing agricultural markets, promoting environmental sustainability, influencing the economic performance and decisions of farms, and supporting rural development.
Applying knowledge and understanding
The knowledge and analytical skills acquired will be applied to the real economic contexts in which graduates will operate.
Making judgements
The objective is to enable students to develop independent judgment on issues related to the economic sustainability of agricultural sectors, production activities within the agri-food system, and agri-food market dynamics.
Communication skills
The course also aims to strengthen communication skills necessary for professional activities related to the implementation of agricultural and rural development policies and the functioning of agri-food markets.
Learning skills
It seeks to foster a continuous learning capacity, allowing graduates to adapt to the ongoing evolution of agricultural and rural development policies as well as market conditions.
Knowledge and understanding
The student will acquire knowledge regarding management and adaptation strategies sustainable from an economic point of view in different scenarios with particular reference to climate change and agricultural policy.
Applying knowledge and understanding
The skills acquired will allow the student to be able to reconstruct the technical-productive and economic sheets of the cultivation and breeding activities, identify possible future scenarios for farms and analyse investments.
Making judgements
The skills and knowledge acquired will allow the student to be able to select sustainable choices from an economic point of view for farms.
Communication skills
The knowledge acquired will allow the student an adequate ability to communicate effectively with other stakeholders and to collaborate with professionals in the sector regarding management and investments analysis.
Learning skills
The skills acquired will allow the student to learn autonomously, and to be able to carry out processing and analysis based on the specific case studies with which he will have to deal in his professional life regarding management and investments analysis.
1.Reconstruction of the technical-productive and economic sheets of the agricultural activities.
2.Optimizing and sustainable choices from an economic point of view.
3.Adaptation strategies in different climate and agricultural policy scenarios.
4. Investment analysis for farms.
examMode
The assessment of knowledge will be based on the ability to analyze and discuss scientific papers on the proposed topics.
The evaluation will be carried out in progress basis with intermediate and final tests.
books
Teaching material and scientific papers made available by the teacher.
1.Reconstruction of the technical-productive and economic sheets of the agricultural activities.
2.Optimizing and sustainable choices from an economic point of view.
3.Adaptation strategies in different climate and agricultural policy scenarios.
4. Investment analysis for farms.
examMode
The assessment of knowledge will be based on the ability to analyze and discuss scientific papers on the proposed topics.
The evaluation will be carried out in progress basis with intermediate and final tests.
books
Teaching material and scientific papers made available by the teacher.
classRoomMode
Optional.
120692 - LAND SURVEY AND MAPPING
-
10
-
-
Learning objectives
Knowledge and Understanding
The course aims to provide students with the necessary knowledge to carry out a topographic survey using the most modern techniques: GPS/GNSS and Remotely Piloted Aircraft Systems (RPAS). The goal is to enable the acquisition of precise knowledge regarding both aerial and terrestrial unmanned surveying systems, applicable to individual and environmental surveying in the field of animal husbandry. Additionally, the course aims to ensure knowledge of the subject from the perspective of usage methods and directly applicable applications. Specifically, the satellite constellation, control systems, and ground user segments will be analyzed. The course will also cover the digital processing and representation of data acquired through surveying activities, with an in-depth focus on the software and processing techniques involved.
Applied Knowledge and Understanding
The course intends to help students acquire the knowledge and skills needed to implement and utilize aerial and terrestrial unmanned surveying systems in the agricultural sector and mountainous terrain. These systems have various applications, including individual and environmental surveying in animal husbandry. Additionally, the course aims to promote the use of GIS tools and the application of global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
Autonomy in Judgment
The course also aims to ensure that students understand digital technologies and can apply them in various contexts, including business and regional levels, with particular reference to mountainous areas. It also fosters the acquisition of the necessary skills to communicate relevant information to other engineering professionals working in the field, aiding in the design of technologies related to surveying systems. This includes promoting the development of independent judgment through the cultivation of critical skills aimed at identifying technical and scientific issues related to the subject, evaluating complex surveying projects and flight plans, conducting bibliographic research on scientific, regulatory, and technical sources, and delving into social, professional, and ethical considerations associated with surveying activities. The course will thus address aspects related to the knowledge and use of surveying with RPAS (Remotely Piloted Aircraft Systems), focusing particularly on the regulatory framework, types of RPAS, and the planning of photogrammetric flights.
Communication Skills
The course also aims to enable students to develop specific skills through educational activities to ensure an adequate level of communication regarding ideas, problems, and solutions related to the technical and scientific training pertinent to digital surveying issues.
Learning Skills
The course is also designed to help students develop the technological skills needed to ensure continuous updating of knowledge relevant to their professional or scientific activities. This involves consulting regulatory, legislative, technological, digital, methodological, and experimental innovation sources related to current surveying systems. After revisiting the basic concepts of topographic surveying, students will be provided with the necessary knowledge to ensure the correct use of the global positioning system, fostering an understanding of geostatistics, global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
MODULE II
STEFANO BIGIOTTI
First Semester
5
AGR/10
Learning objectives
Knowledge and Understanding
The course aims to provide students with the necessary knowledge to carry out a topographic survey using the most modern techniques: GPS/GNSS and Remotely Piloted Aircraft Systems (RPAS). The goal is to enable the acquisition of precise knowledge regarding both aerial and terrestrial unmanned surveying systems, applicable to individual and environmental surveying in the field of animal husbandry. Additionally, the course aims to ensure knowledge of the subject from the perspective of usage methods and directly applicable applications. Specifically, the satellite constellation, control systems, and ground user segments will be analyzed. The course will also cover the digital processing and representation of data acquired through surveying activities, with an in-depth focus on the software and processing techniques involved.
Applied Knowledge and Understanding
The course intends to help students acquire the knowledge and skills needed to implement and utilize aerial and terrestrial unmanned surveying systems in the agricultural sector and mountainous terrain. These systems have various applications, including individual and environmental surveying in animal husbandry. Additionally, the course aims to promote the use of GIS tools and the application of global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
Autonomy in Judgment
The course also aims to ensure that students understand digital technologies and can apply them in various contexts, including business and regional levels, with particular reference to mountainous areas. It also fosters the acquisition of the necessary skills to communicate relevant information to other engineering professionals working in the field, aiding in the design of technologies related to surveying systems. This includes promoting the development of independent judgment through the cultivation of critical skills aimed at identifying technical and scientific issues related to the subject, evaluating complex surveying projects and flight plans, conducting bibliographic research on scientific, regulatory, and technical sources, and delving into social, professional, and ethical considerations associated with surveying activities. The course will thus address aspects related to the knowledge and use of surveying with RPAS (Remotely Piloted Aircraft Systems), focusing particularly on the regulatory framework, types of RPAS, and the planning of photogrammetric flights.
Communication Skills
The course also aims to enable students to develop specific skills through educational activities to ensure an adequate level of communication regarding ideas, problems, and solutions related to the technical and scientific training pertinent to digital surveying issues.
Learning Skills
The course is also designed to help students develop the technological skills needed to ensure continuous updating of knowledge relevant to their professional or scientific activities. This involves consulting regulatory, legislative, technological, digital, methodological, and experimental innovation sources related to current surveying systems. After revisiting the basic concepts of topographic surveying, students will be provided with the necessary knowledge to ensure the correct use of the global positioning system, fostering an understanding of geostatistics, global satellite positioning systems, satellite remote sensing, and the main types of ground receivers.
The exam program is divided into three modules, each of which takes up approximately 33% of the available lesson hours. These modules can be summarized as follows:
1) Recalls of territory surveying: angle, angle measurement systems, angular conversions, distance, altitude, elevation difference, slope, reference systems, geographic coordinates, Cartesian coordinates.
2) GPS/GNSS positioning, the space, control, and user segments. Types of surveying, errors, and modeling. Networks of permanent GNSS stations. Evaluation of achievable accuracies with different GNSS positioning techniques and comparison with traditional techniques. Applications of use and integration with other surveying methodologies.
3) Surveying of paths and equipped areas using RPAS (Remotely Piloted Aircraft Systems)
- Types of RPAS: multirotors, fixed-wing, hybrid drones, regulatory and legislative framework;
- Orientation parameters of the frames. Digital photogrammetry, image acquisition;
- Parameters and planning of aerial photogrammetric flight, arrangement of ground control points (GCP);
The third module will also include practical exercises aimed at improving the student's skills in surveying activities through hands-on experiences with technologies related to the topic of RPAS.
examMode
The evaluation method consists of an oral exam, conducted through a series of questions designed to assess the student's theoretical knowledge of the topics covered during the course, ensuring that the level of critical awareness developed regarding the main issues addressed is also examined.
The final exam consists of an oral test aimed at evaluating the competencies acquired in the subject and the critical interpretation skills developed by the student during the course. In particular, the oral exam will focus on the topics relevant to the three modules outlined in the program, consisting of three questions, each pertaining to a section of the course, including references to sector regulations.
During the course, students will have the opportunity to take partial in-progress tests. This test, lasting 1 hour and 30 minutes, will consist of three open-ended questions and will cover the part of the program related to GPS systems.
The evaluation will be expressed in a grade out of thirty.
books
Lecture notes prepared by the instructor. The material will be made available to students through the Moodle platform.
mode
The course will be conducted in person; however, if necessary, students will still have the option to connect remotely to attend the lectures.
classRoomMode
Attendance to the course is not mandatory but optional.
bibliography
Lecture notes prepared by the instructor. The material will be made available to students through the Moodle platform.
The exam program is divided into three modules, each of which takes up approximately 33% of the available lesson hours. These modules can be summarized as follows:
1) Recalls of territory surveying: angle, angle measurement systems, angular conversions, distance, altitude, elevation difference, slope, reference systems, geographic coordinates, Cartesian coordinates.
2) GPS/GNSS positioning, the space, control, and user segments. Types of surveying, errors, and modeling. Networks of permanent GNSS stations. Evaluation of achievable accuracies with different GNSS positioning techniques and comparison with traditional techniques. Applications of use and integration with other surveying methodologies.
3) Surveying of paths and equipped areas using RPAS (Remotely Piloted Aircraft Systems)
- Types of RPAS: multirotors, fixed-wing, hybrid drones, regulatory and legislative framework;
- Orientation parameters of the frames. Digital photogrammetry, image acquisition;
- Parameters and planning of aerial photogrammetric flight, arrangement of ground control points (GCP);
The third module will also include practical exercises aimed at improving the student's skills in surveying activities through hands-on experiences with technologies related to the topic of RPAS.
examMode
The evaluation method consists of an oral exam, conducted through a series of questions designed to assess the student's theoretical knowledge of the topics covered during the course, ensuring that the level of critical awareness developed regarding the main issues addressed is also examined.
The final exam consists of an oral test aimed at evaluating the competencies acquired in the subject and the critical interpretation skills developed by the student during the course. In particular, the oral exam will focus on the topics relevant to the three modules outlined in the program, consisting of three questions, each pertaining to a section of the course, including references to sector regulations.
During the course, students will have the opportunity to take partial in-progress tests. This test, lasting 1 hour and 30 minutes, will consist of three open-ended questions and will cover the part of the program related to GPS systems.
The evaluation will be expressed in a grade out of thirty.
books
Lecture notes prepared by the instructor. The material will be made available to students through the Moodle platform.
mode
The course will be conducted in person; however, if necessary, students will still have the option to connect remotely to attend the lectures.
classRoomMode
Attendance to the course is not mandatory but optional.
bibliography
Lecture notes prepared by the instructor. The material will be made available to students through the Moodle platform.
MODULE II
ALESSIO PATRIARCA
First Semester
5
AGR/10
Learning objectives
Knowledge and understanding
Students will acquire advanced skills in the use of remotely sensed data for the analysis and monitoring of processes affecting agro-forestry and mountain territories, developing a flexible perspective capable of operating from field to regional scale. The course provides comprehensive training across the entire workflow: from the acquisition and management of remotely sensed and georeferenced data, to their processing through geospatial and geostatistical analysis techniques, and finally to the production of derived datasets for the assessment and representation of territorial phenomena. The main data sources (e.g. Copernicus, National Geoportal, ISTAT databases, and regional geoportals) will also be presented, together with methods for integrating them with information obtained from monitoring activities and spatial analyses.
Applying knowledge and understanding
By the end of the course, students will be familiar with the fundamental concepts of cartography, digital cartographic representation, and remote sensing. They will be able to produce thematic maps of territorial elements, carry out spatial analyses of various phenomena, and develop a complete cartographic project. Students will acquire solid skills in the use of GIS software and in the application of remotely sensed imagery for territorial analyses. In addition, they will gain basic competence in using cloud computing platforms for the processing and management of remotely sensed data.
Making judgements
The course fosters the development of critical judgment and analytical autonomy at the territorial scale, with particular focus on the assessment of agro-forestry and environmental processes. Students will be able to propose technically and contextually appropriate solutions based on the informed use of geospatial and remotely sensed data.
Communication skills
Students will be required to produce an exam project that integrates the knowledge they have acquired and demonstrates their ability to apply it. The activity, carried out partly individually and partly in groups, will promote the development of communication skills, teamwork, and autonomy in their work.
Learning skills
Students will have the opportunity to develop their learning skills through active participation and the analysis of specific case studies presented during the course. They will be able to identify the most effective methods for acquiring and updating information, critically select and use the most relevant sources, apply the most appropriate methodologies for data processing, and independently assess their own level of learning.
Introduction to Remote Sensing: basic concepts, historical evolution, main advantages, and fields of application.
Interaction between electromagnetic radiation and terrestrial surfaces: reflection, absorption, and transmission phenomena.
Spectral signatures and indices: fundamental principles and their use in land cover analysis.
Earth observation systems: components, operation, and key parameters.
Operational parameters of remotely sensed data: scale, and spatial, spectral, and temporal resolution.
Digital sensors for Earth observation: differences and applications of active and passive sensors.
Earth observation satellites: categories and main operational missions.
Remotely sensed images: structure, pixel characteristics, spectral bands, and frequency distributions.
Elements of photointerpretation: principles and criteria for visual image analysis.
Image processing: radiometric enhancement, and basic geometric and radiometric corrections.
Open-access satellite programs: overview of Landsat, Copernicus, and other international initiatives.
Image classification: production of land use maps and accuracy assessment.
Vegetation monitoring: use of vegetation indices for the analysis of environmental dynamics.
Introduction to cloud computing for remote sensing: tools and platforms for geospatial data processing.
Laboratory activities.
examMode
The exam is oral. On examination, questions about the topics arising from the presentation will be asked.
The assessment takes into account: acquired skills, the knowledge of the topics, quality and clarity of the presentation, the ability to apply their knowledge critically, the ability of interdisciplinary connections.
books
Teaching material will be available on the Moodle platform.
classRoomMode
Attendance Optional
Attendance is optional but it is strongly recommended
Introduction to Remote Sensing: basic concepts, historical evolution, main advantages, and fields of application.
Interaction between electromagnetic radiation and terrestrial surfaces: reflection, absorption, and transmission phenomena.
Spectral signatures and indices: fundamental principles and their use in land cover analysis.
Earth observation systems: components, operation, and key parameters.
Operational parameters of remotely sensed data: scale, and spatial, spectral, and temporal resolution.
Digital sensors for Earth observation: differences and applications of active and passive sensors.
Earth observation satellites: categories and main operational missions.
Remotely sensed images: structure, pixel characteristics, spectral bands, and frequency distributions.
Elements of photointerpretation: principles and criteria for visual image analysis.
Image processing: radiometric enhancement, and basic geometric and radiometric corrections.
Open-access satellite programs: overview of Landsat, Copernicus, and other international initiatives.
Image classification: production of land use maps and accuracy assessment.
Vegetation monitoring: use of vegetation indices for the analysis of environmental dynamics.
Introduction to cloud computing for remote sensing: tools and platforms for geospatial data processing.
Laboratory activities.
examMode
The exam is oral. On examination, questions about the topics arising from the presentation will be asked.
The assessment takes into account: acquired skills, the knowledge of the topics, quality and clarity of the presentation, the ability to apply their knowledge critically, the ability of interdisciplinary connections.
books
Teaching material will be available on the Moodle platform.
classRoomMode
Attendance Optional
Attendance is optional but it is strongly recommended
120694 - STATISTICAL ANALYSIS OF ENVIRONMENTAL DATA
FRANCESCO CAPPELLIFRANCESCO CAPPELLI
First Semester
5
SECS-S/02
Learning objectives
Learning Objectives
The course aims to provide students with the main statistical and quantitative methods for performing data analysis through the introduction of measures, models, and techniques of descriptive and inferential statistics. In particular, concepts of descriptive statistics will enable students to carry out basic exploratory analyses, while concepts of inferential statistics will provide the methodological foundation for performing analyses under conditions of uncertainty. By applying the knowledge acquired during the course, students will be able to conduct exploratory data analyses and apply the main statistical processing techniques to data describing real-world phenomena.
Knowledge and understanding
By the end of the course, students will have acquired specific knowledge of statistical analysis methodologies for observing, describing, analyzing, and interpreting real phenomena using the basic tools of statistics. The purpose of the course is to provide students with the methodological knowledge required to perform univariate and bivariate descriptive analyses, as well as inferential analyses under uncertainty.
Applying knowledge and understanding
By the end of the course, students will have developed a solid methodological foundation and analytical skills. They will be able to independently carry out empirical data analyses, assess the results, evaluate the adequacy of the applied methodology, and identify its potential limitations.
Making judgments
The course is designed to foster a critical approach to the use of different statistical techniques for the interpretation of real-world phenomena. Students will develop the ability to critically evaluate and select appropriate statistical methods according to the specific objectives of their analysis.
Communication skills
Throughout the course, students will acquire the necessary skills to effectively communicate statistical methodologies (both descriptive and inferential) applied to real phenomena. This involves not only understanding and applying these methodologies but also clearly communicating them to others — explaining the analytical techniques used, interpreting the results meaningfully, and presenting them clearly and comprehensibly to ensure effective communication of conclusions derived from data analysis.
Learning skills
The teaching methods used in the course include continuous assessment of students’ learning progress. This approach is intended to enhance students’ autonomy in judgment and self-learning abilities, encouraging them to develop critical evaluation skills and greater independence in applying statistical reasoning.
Course Program: "Statistical Analysis of Environmental Data"
1. Introductory Concepts
• Definition of statistics and fields of application
• Statistical units, characteristics, and modalities
• Population and sample
• The statistical survey: phases and methodology
2. Graphical description of data
• Classification of variables
• The scales of measurement
• Statistical frequency tables
• Graphical representations
• Errors in data presentation.
3. Numerical description of data
• Measures of central tendency
• Measures of variability
• Summary measures for grouped data
• Measures of shape
• Measures of relationships between variables
• Linear relationships
4. Probability
• Random experiment, results, events
• Probability and its axioms
• Probability rules
• Bivariate probability
• Bayes' Theorem
5. Random Variables and Probability Distributions
• Definition of a random variable
• Probability distributions of discrete random variables
• Probability distributions of continuous random variables
• Properties of discrete and continuous random variables
• Characterization of major distributions
6. Statistical Inference
• Population and sample
• Sampling methods
• Sampling distribution of the sample mean
• Sampling distribution of the sample proportion
• Sampling distribution of the sample variance
7. Estimation problems on a single population
• Introduction
• Point estimation and interval estimation
• Confidence intervals for the mean (known and unknown variance)
• Confidence intervals for variance and proportion
8. Estimation problems: further topics
• Confidence intervals for the difference between the means of two populations with joint normal distribution: dependent samples
• Confidence intervals for the difference between the means of two jointly distributed populations
normally: independent samples
• Confidence intervals for the difference between two proportions (large samples)
• Confidence intervals for the variance of a normally distributed population
• Confidence intervals for the variance of a normally distributed population
• Determination of sample size
9. Hypothesis Testing for Parameters
• Statistical hypotheses
• Types of errors and significance level
• Hypothesis tests for the mean (known and unknown variance)
• Hypothesis tests for variance and proportion
10. Comparison of Means
• Hypothesis tests for the difference between means (known variances)
• Hypothesis tests for the difference between means (unknown variances)
• Analysis of Variance (ANOVA)
11. Chi-Square Test
• Chi-square goodness-of-fit test
• Chi-square test for independence
12. Linear Regression Model
• Definition of simple and multiple linear regression models
• Estimation of coefficients
• Inference on coefficients
• Coefficient of determination
13. Advanced Topics
• Autocorrelation function
• Stationarity
• Exceedance probability
• Return period
books
- P. NEWBOLD, W.L. CARLSON, B. THORNE, Statistica, Milan, 9/Ed. Pearson (2021).
- Supplementary materials distributed on the Moodle platform
- Specific materials on the use of R software distributed on the Moodle platform.
Learning objectives
The course provides students with the basic tools to enter the international world of work, exploring various perspectives on human and professional interaction.
Knowledge and Understanding
The aim is to engage students by providing them with insights into how certain skills can be studied and developed to achieve better technical results.
Applied Knowledge and Understanding
The focus is on every possible work situation, from expressing a concept to others, through preparing a social media profile or CV, to conducting an interview, and even managing group interviews and giving a short presentation.
Making Judgments, Communication Skills, Learning Skills
Stress and teamwork management will be practiced with examples and business cases, which will then be applied to their future careers. All this while focusing on human skills that are sometimes overlooked, but which, when practiced, can provide essential support to students in the workplace.
Learning objectives
The course defines the concept of soil quality in natural ecosystems. It provides a description and classification of soil quality indicators (chemical, physical, and biological) for a critical and integrated assessment of soil health. The course defines the concept of soil degradation, analyzing its main issues, including erosion, desertification, salinization, acidification, and heavy metal contamination. Finally, it examines remediation techniques aimed at restoring soil quality for sustainable land management.
Knowledge and ability to understand
The course aims to develop students’ knowledge and understanding related to soil quality monitoring. It explores the main analytical techniques and assessment methods for the physical, chemical, and biological parameters that determine soil health. A key aspect is understanding the limits of application and interpretation of various quality indicators in relation to the pedological characteristics and environmental conditions of the study area. The course also provides comprehensive knowledge of soil nutrient dynamics (nitrogen, phosphorus, and sulfur cycles) and the organic matter cycle. Furthermore, it examines the effects of major pollutants, such as heavy metals, the environmental issues associated with their presence in soils, and the main remediation and restoration strategies to recover soil quality.
Applying knowledge and understanding
The course enables the application of knowledge by developing practical laboratory skills and the ability to derive information from laboratory activities to support and integrate theoretical lessons.
Making judgement
The course fosters the development of students’ autonomy in assessing soil quality. This is achieved through understanding the fundamental chemical and physical characteristics of soil, as well as the natural and anthropogenic factors that have caused imbalances in these characteristics, leading to soil degradation and quality loss.
Communication skills
The course provides the ability to present acquired knowledge using appropriate language and technical terms.
Learning ability
To improve their learning abilities, it is essential for students to attend lessons and independently utilize the provided materials. This approach supports continuous knowledge updating, allowing students to identify the most effective strategies for gathering information. Furthermore, it is crucial to develop the ability to independently update one's knowledge by conducting keyword searches and consulting texts, bibliographic databases, and significant scientific publications at both national and international levels.
MODULE II
ELEONORA COPPA
First Semester
5
AGR/13
Learning objectives
Learning objectives
The course defines the concept of soil quality in natural ecosystems. It provides a description and classification of soil quality indicators (chemical, physical, and biological) for a critical and integrated assessment of soil health. The course defines the concept of soil degradation, analyzing its main issues, including erosion, desertification, salinization, acidification, and heavy metal contamination. Finally, it examines remediation techniques aimed at restoring soil quality for sustainable land management.
Knowledge and ability to understand
The course aims to develop students’ knowledge and understanding related to soil quality monitoring. It explores the main analytical techniques and assessment methods for the physical, chemical, and biological parameters that determine soil health. A key aspect is understanding the limits of application and interpretation of various quality indicators in relation to the pedological characteristics and environmental conditions of the study area. The course also provides comprehensive knowledge of soil nutrient dynamics (nitrogen, phosphorus, and sulfur cycles) and the organic matter cycle. Furthermore, it examines the effects of major pollutants, such as heavy metals, the environmental issues associated with their presence in soils, and the main remediation and restoration strategies to recover soil quality.
Applying knowledge and understanding
The course enables the application of knowledge by developing practical laboratory skills and the ability to derive information from laboratory activities to support and integrate theoretical lessons.
Making judgement
The course fosters the development of students’ autonomy in assessing soil quality. This is achieved through understanding the fundamental chemical and physical characteristics of soil, as well as the natural and anthropogenic factors that have caused imbalances in these characteristics, leading to soil degradation and quality loss.
Communication skills
The course provides the ability to present acquired knowledge using appropriate language and technical terms.
Learning ability
To improve their learning abilities, it is essential for students to attend lessons and independently utilize the provided materials. This approach supports continuous knowledge updating, allowing students to identify the most effective strategies for gathering information. Furthermore, it is crucial to develop the ability to independently update one's knowledge by conducting keyword searches and consulting texts, bibliographic databases, and significant scientific publications at both national and international levels.
Learning objectives
The course defines the concept of soil quality in natural ecosystems. It provides a description and classification of soil quality indicators (chemical, physical, and biological) for a critical and integrated assessment of soil health. The course defines the concept of soil degradation, analyzing its main issues, including erosion, desertification, salinization, acidification, and heavy metal contamination. Finally, it examines remediation techniques aimed at restoring soil quality for sustainable land management.
Knowledge and ability to understand
The course aims to develop students’ knowledge and understanding related to soil quality monitoring. It explores the main analytical techniques and assessment methods for the physical, chemical, and biological parameters that determine soil health. A key aspect is understanding the limits of application and interpretation of various quality indicators in relation to the pedological characteristics and environmental conditions of the study area. The course also provides comprehensive knowledge of soil nutrient dynamics (nitrogen, phosphorus, and sulfur cycles) and the organic matter cycle. Furthermore, it examines the effects of major pollutants, such as heavy metals, the environmental issues associated with their presence in soils, and the main remediation and restoration strategies to recover soil quality.
Applying knowledge and understanding
The course enables the application of knowledge by developing practical laboratory skills and the ability to derive information from laboratory activities to support and integrate theoretical lessons.
Making judgement
The course fosters the development of students’ autonomy in assessing soil quality. This is achieved through understanding the fundamental chemical and physical characteristics of soil, as well as the natural and anthropogenic factors that have caused imbalances in these characteristics, leading to soil degradation and quality loss.
Communication skills
The course provides the ability to present acquired knowledge using appropriate language and technical terms.
Learning ability
To improve their learning abilities, it is essential for students to attend lessons and independently utilize the provided materials. This approach supports continuous knowledge updating, allowing students to identify the most effective strategies for gathering information. Furthermore, it is crucial to develop the ability to independently update one's knowledge by conducting keyword searches and consulting texts, bibliographic databases, and significant scientific publications at both national and international levels.
MODULE II
SIMONE PRIORI
First Semester
5
AGR/14
Learning objectives
Learning objectives
Providing the knowledge required to understand the characteristics and spatial variability of soils, also using proximal soil sensors and digital soil mapping techniques, for proper site-specific soil management in agriculture and agro-ecosystem.
Knowledge and ability to understand
the student shall demonstrate to have understood the main aspects of soil mapping and monitoring, namely: (i) the main chemical, physical and hydrological characteristics of soils; (ii) the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software.
Applying knowledge and understanding
The student will be able to use the acquired knowledge to i) describe the main characteristics of a soil, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; ii) apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; iii) be able to identify any problems or risks related to soil functionality and circumscribe them.
Making judgement
the student must know how to set up a soil survey and a description of a soil profile or soil borehole, as well as interpret a soil map or a soil description and analysis. They must also know how to interpret data obtained from proximal geophysical sensors, how to spatialize the data in the plot of interest and understand which soil characteristics are associated with the variability of these data.
Communication skills
The students should have the ability to explain in a simple and comprehensive manner the knowledge acquired, trying to connect the basic notions to the more complex topics related to soil mapping and applications of pedology.
Learning ability
The students will have to refer to the teaching program and to the lesson plan of the course, deepening the various topics addressed through the handouts provided by the lecturer, the consultation of recommended texts and publications of national and international relevance.
- Bases of pedology: soil phases, pedogenetic factors and processes, soil profile and genetic horizons
- Elements of soil physics: concepts and methods of measurement of texture, structure, bulk density, compaction, erodibility
- Elements of soil hydrology: water flows in the soil, water retention curves, field capacity, wilting point, available water capacity (AWC), infiltration and permeability of soils, water stagnation and associated pedogenetic forms. Measurement and monitoring of water content and water tension in the field.
- Reading of the pedological landscape: bases of geomorphology, forms of slope and valley deposits, glacial and periglacial forms, karst forms, structural forms. Photointerpretation, digital terrain models. The physiographic units.
- Traditional pedological survey: organization of the survey, description of profiles and drills, chemical-physical parameters to be analyzed, type of survey
- Pedological cartography: Soil-landscape paradigm; hierarchy of pedo-landscapes. Criteria for the definition of cartographic units - The series, the type, the phase, the variants - The composite cartographic units - Associations, complexes - Cartographic units in small-scale surveys. Organization of work for soil survey and mapping
- Geophysical proximal soil sensors: basic geophysical concepts, georesistivimeters and electromagnetic induction sensors. Procedure for proximal detection and data processing.
- Spectrometry: concepts of diffuse reflectance spectrometry in the visible and infrared range. Type of spectrometers, use in the laboratory and in the field. Soil spectrum analysis, construction of a spectral library. Gamma-ray spectrometry and its possible use in agriculture.
- Practical applications of GIS software and geostatistical methods for the processing and mapping of soil data. Clustering and mapping of homogeneous areas for precision agriculture.
examMode
The exam will take place with a practical test of soil data processing and mapping on the PC, using the modalities observed during the course, and an oral test on the topics of the course.
books
Notes provided by the professor
mode
Lezioni frontali ed esercitazioni
classRoomMode
Lectures and exercises on the PC
Practical exercises in the field
bibliography
- IUSS Working Group WRB. 2022. World Reference Base for Soil Resources. International soil classification system for naming soils and creating legends for soil maps. 4th edition. International Union of Soil Sciences (IUSS), Vienna, Austria.
- USDA-Soi Survey Division Staff. Soil Survey Manual. https://www.nrcs.usda.gov/sites/default/files/2022-09/The-Soil-Survey-Manual.pdf
- Bases of pedology: soil phases, pedogenetic factors and processes, soil profile and genetic horizons
- Elements of soil physics: concepts and methods of measurement of texture, structure, bulk density, compaction, erodibility
- Elements of soil hydrology: water flows in the soil, water retention curves, field capacity, wilting point, available water capacity (AWC), infiltration and permeability of soils, water stagnation and associated pedogenetic forms. Measurement and monitoring of water content and water tension in the field.
- Reading of the pedological landscape: bases of geomorphology, forms of slope and valley deposits, glacial and periglacial forms, karst forms, structural forms. Photointerpretation, digital terrain models. The physiographic units.
- Traditional pedological survey: organization of the survey, description of profiles and drills, chemical-physical parameters to be analyzed, type of survey
- Pedological cartography: Soil-landscape paradigm; hierarchy of pedo-landscapes. Criteria for the definition of cartographic units - The series, the type, the phase, the variants - The composite cartographic units - Associations, complexes - Cartographic units in small-scale surveys. Organization of work for soil survey and mapping
- Geophysical proximal soil sensors: basic geophysical concepts, georesistivimeters and electromagnetic induction sensors. Procedure for proximal detection and data processing.
- Spectrometry: concepts of diffuse reflectance spectrometry in the visible and infrared range. Type of spectrometers, use in the laboratory and in the field. Soil spectrum analysis, construction of a spectral library. Gamma-ray spectrometry and its possible use in agriculture.
- Practical applications of GIS software and geostatistical methods for the processing and mapping of soil data. Clustering and mapping of homogeneous areas for precision agriculture.
examMode
The exam will take place with a practical test of soil data processing and mapping on the PC, using the modalities observed during the course, and an oral test on the topics of the course.
books
Notes provided by the professor
mode
Lezioni frontali ed esercitazioni
classRoomMode
Lectures and exercises on the PC
Practical exercises in the field
bibliography
- IUSS Working Group WRB. 2022. World Reference Base for Soil Resources. International soil classification system for naming soils and creating legends for soil maps. 4th edition. International Union of Soil Sciences (IUSS), Vienna, Austria.
- USDA-Soi Survey Division Staff. Soil Survey Manual. https://www.nrcs.usda.gov/sites/default/files/2022-09/The-Soil-Survey-Manual.pdf
120709 - WATER AND ENERGY RESOURCES MANAGEMENT
-
10
-
-
Learning objectives
Knowledge and Understanding
The course in Bio-Engineering aims to provide a solid foundation of theoretical and practical knowledge on the principles, techniques, and materials used in the design and implementation of soil and environmental stabilization works. Students will acquire competencies in ecology, geotechnics, hydraulics, and applied botany, gaining an understanding of the relationships between the natural environment and engineering works. Particular attention will be devoted to understanding natural processes and how engineering solutions can be integrated with them to ensure the environmental and landscape sustainability of interventions.
Applying Knowledge and Understanding
Students will be able to apply the knowledge acquired to the design of naturalistic engineering works, assessing geomorphological, hydrological, and vegetational site conditions. They will learn to select the most appropriate techniques and materials according to stabilization, consolidation, and environmental restoration goals, integrating technical efficiency with ecological compatibility. Through practical exercises, case studies, and field activities, students will develop the ability to translate theoretical principles into concrete operational solutions.
Making Judgments
The course fosters the ability to critically analyze environmental and territorial issues, developing a multidisciplinary approach focused on sustainability. Students will be able to independently evaluate design alternatives, identifying risks, benefits, and environmental impacts of proposed solutions. The course will also encourage the development of conscious and responsible decision-making skills based on scientific data and technical-economic criteria, in compliance with current regulations and environmental protection principles.
Communication Skills
Students will develop effective communication skills to present and discuss naturalistic engineering projects in technical and interdisciplinary contexts. They will learn to draft clear and coherent technical reports, graphical documents, and project materials using appropriate technical language.
Moreover, they will be able to interact with professionals from various fields — engineers, agronomists, architects, administrators, and citizens — promoting dialogue and participation in territorial planning and decision-making processes.
Learning Skills
The course aims to foster a continuous learning attitude, essential for addressing the evolving challenges of environmental and naturalistic engineering. Students will acquire methods for independent study, the ability to stay updated on new technologies and regulations, and the capacity to critically deepen their understanding of scientific innovations in the field. They will thus be prepared to continue their studies at an advanced level or to enter the professional world with a proactive approach focused on sustainable solutions.
MODULE II
CIRO APOLLONIO
First Semester
5
AGR/08
Learning objectives
Knowledge and Understanding
The course in Bio-Engineering aims to provide a solid foundation of theoretical and practical knowledge on the principles, techniques, and materials used in the design and implementation of soil and environmental stabilization works. Students will acquire competencies in ecology, geotechnics, hydraulics, and applied botany, gaining an understanding of the relationships between the natural environment and engineering works. Particular attention will be devoted to understanding natural processes and how engineering solutions can be integrated with them to ensure the environmental and landscape sustainability of interventions.
Applying Knowledge and Understanding
Students will be able to apply the knowledge acquired to the design of naturalistic engineering works, assessing geomorphological, hydrological, and vegetational site conditions. They will learn to select the most appropriate techniques and materials according to stabilization, consolidation, and environmental restoration goals, integrating technical efficiency with ecological compatibility. Through practical exercises, case studies, and field activities, students will develop the ability to translate theoretical principles into concrete operational solutions.
Making Judgments
The course fosters the ability to critically analyze environmental and territorial issues, developing a multidisciplinary approach focused on sustainability. Students will be able to independently evaluate design alternatives, identifying risks, benefits, and environmental impacts of proposed solutions. The course will also encourage the development of conscious and responsible decision-making skills based on scientific data and technical-economic criteria, in compliance with current regulations and environmental protection principles.
Communication Skills
Students will develop effective communication skills to present and discuss naturalistic engineering projects in technical and interdisciplinary contexts. They will learn to draft clear and coherent technical reports, graphical documents, and project materials using appropriate technical language.
Moreover, they will be able to interact with professionals from various fields — engineers, agronomists, architects, administrators, and citizens — promoting dialogue and participation in territorial planning and decision-making processes.
Learning Skills
The course aims to foster a continuous learning attitude, essential for addressing the evolving challenges of environmental and naturalistic engineering. Students will acquire methods for independent study, the ability to stay updated on new technologies and regulations, and the capacity to critically deepen their understanding of scientific innovations in the field. They will thus be prepared to continue their studies at an advanced level or to enter the professional world with a proactive approach focused on sustainable solutions.
Knowledge and understanding
The course provides knowledge on the main energy resources available in mountain areas, with a focus on forest and agricultural biomass, agro-industrial residues, and renewable sources such as solar, small-scale wind, and mini-hydropower. Energy conversion technologies are addressed, ranging from biomass systems (combustion, pyrolysis, gasification, pellet and woodchip boilers and plants, anaerobic digestion) to other renewable solutions.
Applying knowledge and understanding
Students will be able to assess the availability of local resources, analyze the technical feasibility of different technologies, and propose suitable logistical solutions for mountain contexts. They will also learn to apply quality criteria and certification standards for biomass and pellets according to European regulations.
Making judgements
By the end of the course, students will have developed the ability to critically compare different energy sources and technologies, identifying advantages, limitations, and challenges of the solutions applicable in mountain environments.
Communication skills
Students will be able to clearly and effectively communicate the results of their analyses, both orally and through technical reports and data sheets, using appropriate technical terminology.
Learning skills
The course provides students with the tools and methods needed to independently update their knowledge on regulations, certification standards, and technological innovations in the field of renewable energy sources in mountain areas.
Learning objectives
The course aims to provide theoretical and practical foundations for the assessment and monitoring of phytosanitary risks associated with pathogens and insect pests affecting agricultural and forest crops, including those in mountain systems. It covers advanced diagnostic, monitoring and forecasting techniques, as well as innovative and sustainable pest management strategies integrating biological, chemical, and cultural control methods. By the end of the course, students will be able to design and implement effective and sustainable approaches to plant protection using modern technologies.
Knowledge and understanding
Acquire in-depth knowledge of the biological and ecological principles underlying plant–pathogen–insect interactions and understand the theoretical basis of diagnostic tools, monitoring systems, and integrated pest management strategies in sustainable agriculture and forestry.
Applying knowledge and understanding
Apply theoretical and methodological knowledge to diagnose and manage plant health problems in real-world contexts, using advanced technologies for monitoring, forecasting, and phytosanitary risk assessment, with particular attention to mountain agroecosystems.
Making judgements
Develop critical thinking and independent judgement in evaluating alternative plant protection strategies, taking into account ecological, economic, and social implications, and proposing effective and sustainable management solutions.
Communication skills
Use appropriate technical and scientific terminology to effectively communicate concepts, data, and results related to applied phytopathology and entomology. Demonstrate the ability to transfer knowledge and innovations to various stakeholders, including researchers, technicians, farmers, and land managers.
Learning skills
Demonstrate the ability to independently update and expand knowledge, keeping pace with technological, methodological, and regulatory innovations in plant protection and pest management.
MODULE II
MARIO CONTARINI
First Semester
2.5
AGR/11
MODULE II
ANGELO MAZZAGLIA
First Semester
2.5
AGR/12
120705 - ELECTIVE COURSES
Second Semester
10
SUBJECT
SEMESTER
CFU
SSD
LANGUAGE
CHOICE GROUPS
YEAR/SEMESTER
CFU
SSD
LANGUAGE
Informativa
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