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.
120798 - AGRICULTURAL ECONOMICS AND POLICY
-
10
-
-
Learning objectives
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.
AGRICULTURAL POLICIES AND MARKETS
First Semester
5
AGRI-01/A
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.
121529 - RENEWABLE ENERGY SOURCES
First Semester
5
AGRI-04/B
121531 - APPLIED SOIL SCIENCE
-
12
-
-
SOIL MAPPING AND MONITORING
First Semester
6
AGRI-06/C
120696 - APPLIED PHYTOPATHOLOGY AND ENTOMOLOGY
-
5
-
-
Learning objectives
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.
APPLIED ENTOMOLOGY
First Semester
2.5
AGRI-05/A
Learning objectives
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.
APPLIED PHYTOPATHOLOGY
First Semester
2.5
AGRI-05/B
Learning objectives
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.
120705 - ELECTIVE COURSES
Second Semester
10
120798 - AGRICULTURAL ECONOMICS AND POLICY
-
10
-
-
Learning objectives
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.
FARM MANAGEMENT AND INVESTMENTS ANALYSIS
First Semester
5
AGRI-01/A
Learning objectives
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.
SUBJECT
SEMESTER
CFU
SSD
LANGUAGE
120710 - PRECISION LIVESTOCK FARMING
First Semester
5
AGRI-09/B
Learning objectives
Learning objectives
The teaching provided has the general objective of providing the student with skills on the applications in the livestock sector of the main sensors and tools for precision farming aimed at improving productivity, health and animal welfare and environmental sustainability.
Knowledge and understanding
The student will develop basic and advanced knowledge relating to the possible automation solutions available for the management of animals (ruminants, pigs, poultry), for the control of the microclimate in breeding, for the management of food in breeding and preparation/distribution of the ration, depending on the species bred and the systems for monitoring animal performance and milking automation.
Applying knowledge and understanding
The knowledge acquired will give the student the ability to understand the main critical points related to the management of animals, animal nutrition, and the main digital technological approaches available to improve the production efficiency and sustainability of livestock farming.
Making judgements
The skills and knowledge acquired will allow the student to independently develop their own assessments regarding the resolution of practical problems related to the management of livestock using digital technologies available on the market.
Communication skills
The knowledge acquired by the student will allow him/her to communicate what he/she has learned using appropriate technical and scientific language.
Learning skills
The skills acquired by the student will allow him to develop a critical capacity that will allow him to face with great flexibility the different professional contexts in which he will have to operate.
120799 - SMART AGRICULTURAL MACHINERY AND COMPUTATIONAL INTELLIGENCE
-
10
-
-
Learning objectives
Module: ARTIFICIAL INTELLIGENCE APPLICATIONS IN AGRICULTURE
Learning objectives
The objectives of the Artificial Intelligence Applications in Agriculture course are to provide students with the ability to use advanced statistical tools such as machine learning to understand, design and solve problems concerning the estimation of quantitative or qualitative variables.
Attendance at lessons and exercises, although optional is strongly recommended.
Knowledge and understanding
The course aims to develop in student knowledge and understanding skills, such as:
• Know and understand what a machine learning problem is and when to use machine learning to solve a problem.
• Know and understand the logic behind machine learning and the most common machine learning techniques.
• Know and understand how to develop simple machine learning models and their training.
Applied knowledge and understanding
The course will allow students to apply knowledge and understanding,
allowing for example to:
• Divide problems into general categories
• Match problems with the most suitable algorithms to solve them
• Design and train machine learning algorithms that can estimate qualitative or quantitative variables based on structured and non-structured datasets.
Making judgements
The course will allow students to develop autonomy of judgment at various levels, such as:
• Identify possible sources of uncertainty in the estimation of variables by machine learning (underfitting, overfitting, etc.)
• Propose critical solutions to correct trends that undermine the value of the estimate.
Communication skills
Participating in the lessons and/or using the material made available independently will facilitate the development and application of communication skills, such as:
• provide a sufficient range of practical examples of application of artificial intelligence
• Use a suitable and up-to-date computer science technical vocabulary.
Learning skills
Participating in the lessons and/or independently using the material made available will facilitate the consolidation of one's learning skills, allowing for example to:
• activate a program of continuous education updating of one's knowledge
• Independently identify the ways to acquire information
• identify and use the sources of information most useful to staff updating.
Module: Machines for Precision Farming
Learning objectives
The students must acquire basic skills to develop the mechanization of operations in precision farming. In particular, they must be able to choose suitable machines for sustainable and high-quality work (knowing operational methods, safety aspects, etc.) while respecting mechanization constraints (economic, environmental, safety, etc.).
Knowledge and understanding
The student must acquire knowledge and understanding of the principles underlying the design and operation of machines and plants and be able to introduce them into agricultural sites, respecting various constraints.
Applying knowledge and understanding
The student must acquire the ability to apply theoretical knowledge of the topics covered in the course critically to identify individual machines, a fleet of machines, or systems for precision farming.
Making judgements
The student must be able to select specific machines and plants from the market suitable for various types of agricultural work sites where precision farming principles are applied. This should be done objectively, without being influenced by manufacturers, and respecting social, scientific, or ethical aspects related to each mechanization decision.
Communication skills
The student must be able to effectively communicate information about machines and plants and their technical-economic requirements to third parties (employers, clients such as agricultural companies, forestry enterprises, etc.), justifying their choices.
Learning skills
The course structure will be developed to first convey "cross-cutting" basic concepts relevant to any type of machine. Subsequently, individual types of machines (the most widespread in precision farming) will be covered. The topics will be presented to stimulate a desire for learning, logically developing knowledge gradually, from materials and mechanical principles to construction and safety aspects, to machine management. The same logic is required in creating a presentation (flipped classroom), which will be considered in the learning assessment.
ARTIFICIAL INTELLIGENCE APPLICATIONS IN AGRICULTURE
Second Semester
5
INFO-01/A
Learning objectives
Module: ARTIFICIAL INTELLIGENCE APPLICATIONS IN AGRICULTURE
Learning objectives
The objectives of the Artificial Intelligence Applications in Agriculture course are to provide students with the ability to use advanced statistical tools such as machine learning to understand, design and solve problems concerning the estimation of quantitative or qualitative variables.
Attendance at lessons and exercises, although optional is strongly recommended.
Knowledge and understanding
The course aims to develop in student knowledge and understanding skills, such as:
• Know and understand what a machine learning problem is and when to use machine learning to solve a problem.
• Know and understand the logic behind machine learning and the most common machine learning techniques.
• Know and understand how to develop simple machine learning models and their training.
Applied knowledge and understanding
The course will allow students to apply knowledge and understanding,
allowing for example to:
• Divide problems into general categories
• Match problems with the most suitable algorithms to solve them
• Design and train machine learning algorithms that can estimate qualitative or quantitative variables based on structured and non-structured datasets.
Making judgements
The course will allow students to develop autonomy of judgment at various levels, such as:
• Identify possible sources of uncertainty in the estimation of variables by machine learning (underfitting, overfitting, etc.)
• Propose critical solutions to correct trends that undermine the value of the estimate.
Communication skills
Participating in the lessons and/or using the material made available independently will facilitate the development and application of communication skills, such as:
• provide a sufficient range of practical examples of application of artificial intelligence
• Use a suitable and up-to-date computer science technical vocabulary.
Learning skills
Participating in the lessons and/or independently using the material made available will facilitate the consolidation of one's learning skills, allowing for example to:
• activate a program of continuous education updating of one's knowledge
• Independently identify the ways to acquire information
• identify and use the sources of information most useful to staff updating.
Module: Machines for Precision Farming
Learning objectives
The students must acquire basic skills to develop the mechanization of operations in precision farming. In particular, they must be able to choose suitable machines for sustainable and high-quality work (knowing operational methods, safety aspects, etc.) while respecting mechanization constraints (economic, environmental, safety, etc.).
Knowledge and understanding
The student must acquire knowledge and understanding of the principles underlying the design and operation of machines and plants and be able to introduce them into agricultural sites, respecting various constraints.
Applying knowledge and understanding
The student must acquire the ability to apply theoretical knowledge of the topics covered in the course critically to identify individual machines, a fleet of machines, or systems for precision farming.
Making judgements
The student must be able to select specific machines and plants from the market suitable for various types of agricultural work sites where precision farming principles are applied. This should be done objectively, without being influenced by manufacturers, and respecting social, scientific, or ethical aspects related to each mechanization decision.
Communication skills
The student must be able to effectively communicate information about machines and plants and their technical-economic requirements to third parties (employers, clients such as agricultural companies, forestry enterprises, etc.), justifying their choices.
Learning skills
The course structure will be developed to first convey "cross-cutting" basic concepts relevant to any type of machine. Subsequently, individual types of machines (the most widespread in precision farming) will be covered. The topics will be presented to stimulate a desire for learning, logically developing knowledge gradually, from materials and mechanical principles to construction and safety aspects, to machine management. The same logic is required in creating a presentation (flipped classroom), which will be considered in the learning assessment.
MACHINES FOR PRECISION FARMING
Second Semester
5
AGRI-04/B
120801 - DIGITAL TECHNOLOGIES APPLIED TO GENETICS
First Semester
5
AGRI-06/A
Learning objectives
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.
120706 - INTERNSHIP
First Semester
5
121538 - INNOVATIVE APPROACHES FOR FOOD PROCESSING IN MARGINALE AREAS
Second Semester
6
AGRI-07/A
120701 - DIGITAL TECHNOLOGIES IN AGRICULTUR
-
10
-
-
Learning objectives
Module: Precision Agronomy
Learning objectives
The objectives of the Precision Agronomic Techniques course are to provide students with the ability to use digital tools and technologies for the monitoring, analysis and management of cropping systems and for the application of precision agronomic techniques for open field applications with particular regard to herbaceous cropping systems. Attendance at lectures and exercises, although optional, is strongly recommended.
Knowledge and understanding
The course aims to develop in student knowledge and understanding skills, such as:
• know and understand which technologies are useful for monitoring cropping systems for precision agronomic applications such as multispectral and hyperspectral remote sensing to quantitatively estimate variables of agronomic interest of vegetation and soil;
• to know and understand the techniques and technologies that can be used to analyze the spatial and temporal variability of cultivated plots, in particular by exploiting process-based agronomic modeling tools;
• know and understand the methods of development and application of precision agronomic techniques such as seeding, fertilization and irrigation.
Applied knowledge and understanding
The course will allow students to apply knowledge and understanding, allowing for example to:
• know and use the main multispectral satellite systems suitable for precision agriculture through the use of cloud-based platforms for the analysis of the temporal and spatial variability of cultivated plots;
• know and use the techniques to estimate biophysical variables of vegetation and soil from satellite data for the purpose of monitoring agricultural crops;
• know and use a proces-based agronomic model to analyze agronomic management scenarios;
• know the techniques and technologies and equipment for precision seeding, irrigation and fertilization.
Making judgements
The course will allow students to develop autonomy of judgment at various levels, such as:
• hypothesize which properties of the soil and atmosphere influence the spatial and temporal variability of agricultural production;
• propose the most suitable precision management agrotechniques for efficient and sustainable management of herbaceous crops.
Communication skills
Participating in the lessons and/or using the material made available independently will facilitate the development and application of communication skills, such as:
• provide a sufficient range of practical examples of the application of precision agronomic techniques to herbaceous crops;
• use an appropriate and up-to-date agronomic technical vocabulary.
Learning skills
Participating in the lessons and/or independently using the material made available will facilitate the consolidation of one's learning skills, allowing for example to:
• activate a program of continuous education updating of one's knowledge;
• Independently identify the ways to acquire information;
• identify and use the sources of information most useful to staff updating.
Module: DIGITAL APPLICATION IN ARBORICOLTURE
Learning objectives
The learning objectives of teaching Digital Applications in foothill arboriculture are to provide the student with the ability to use digital tools and technologies for monitoring analysis and management of fruit tree systems and for the application of precision agronomic techniques in the field with regard to fruit trees from the foothill environment.
The course also intends to provide students with the ability to identify the most appropriate level of digitization applicable to the different types of orchard farms, together with an in-depth exploration of the different plant shapes used in fruit tree systems, with the aim of calibrating the applications of fruit farming 4.0 to the type of planting and plant shapes used in the orchard. The objectives described above are also pursued through the exploration of appropriate case studies.
Knowledge and understanding skills
The teaching aims to develop students' knowledge and understanding skills, such as:
• knowing and understanding what technologies are useful in monitoring tree systems for precision agronomic applications such as remote sensing and digital soil mapping to quantitatively estimate variables of agronomic interest in vegetation and soil;
• know and understand the digital techniques and technologies that can be used to analyze the spatial and temporal variability of the orchard;
• to know and understand the development and application of precision agronomic techniques and decision support systems for plant fruit systems.
Applied knowledge and understanding
The teaching will enable the application of knowledge and understanding, allowing the student to:
• know and use the main multispectral satellite systems suitable for precision agriculture through the use of cloud-based platforms for analyzing the temporal and spatial variability of fruit-growing plots;
• know and use techniques for estimating vegetation and soil biophysical variables from satellite data and through the use of proximal sensing for monitoring fruit crops;
• to know the techniques and technologies available for digital applications in the management of cultivation operations in the orchard, also exploring the opportunities for using drones and agribots for the automatic execution of cultivation operations.
Autonomy of judgement
Teaching will allow the development of autonomy of judgement at various levels, such as:
• hypothesize which soil and climate properties influence the spatial and temporal variability of fruit tree crops;
• propose the most suitable precision management agro-techniques for efficient and sustainable management of fruit tree crops.
Communication skills
Participation in the lectures and use of the teaching materials made available will facilitate the development and application of communication skills, such as:
• provide an exhaustive range of practical examples of the application of precision agronomic techniques to fruit tree crops;
• using an appropriate and up-to-date technical agronomic vocabulary in line with fruit growing 4.0.
Learning skills
Participating in lessons and making independent use of the material made available will facilitate the consolidation of one's learning skills, such as:
• activate a programme of continuous updating of one's knowledge;
• autonomously identify ways of acquiring information by consulting bibliographic databases at various levels (peer-reviewed journals, popular journals, conference proceedings, websites, etc.);
• identify and use the most useful sources of information for personal updating.
