General Info - Unitus

SUBJECT	SEMESTER	CFU	SSD	LANGUAGE
119485 - DIGITAL MAPPING OF SOIL AND TERRITORY	-	12	-	-	Learning objectives The main objective of the teaching is to provide the knowledge required to understand the characteristics and spatial variability of soils, for proper site-specific soil management in agriculture and agro-ecosystem. Basic concepts of soil chemistry, physics and hydrology, pedogenetic factors and processes will be recalled. The student will learn to frame soil variability within an agro-ecosystem landscape, learn digital soil mapping techniques using GIS software and the use of innovative techniques for soil monitoring and mapping, in particular the use of proximal sensors such as electromagnetic induction and diffuse reflectance spectrometry. The student will also learn the applications of mapping products and soil data, such as land suitability maps, monitoring soil functionality, etc. Knowledge and ability to understand The student will have to demonstrate that he/she has learnt and understood the main aspects of soil mapping and monitoring, namely: • the main chemical, physical and hydrological characteristics of soils; • the principles of horizon and soil classification; • the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software; • the principles of soil science applied to agronomy with regard to soil suitability, water and nutrient availability, recognition of possible problems (e.g. waterlogging, erosion susceptibility, etc.). Applying knowledge and understanding The student will be able to use the acquired knowledge to: • describe the main characteristics of a soil profile and the associated pedogenetic processes, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; • understand the location of a certain soil type within a landscape and its geographical limits related to variations in pedogenetic factors; • apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; • be able to identify any problems or risks related to soil functionality and circumscribe them. Making judgement The student must be able to independently recognise a certain soil type and the soil processes present. He/she 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 spatialise them in the plot of interest and understand which soil characteristics are associated with the variability of these data. Communication skills The student 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 student 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.
MODULE II ALESSIO PATRIARCA	Second Semester	6	AGR/10		Learning objectives The main objective of the course is to provide knowledge of the methods and tools for observing and analyzing the territory, offering advanced insights into Geographic Information Systems (GIS), Remote Sensing, and spatial analysis of territorial data. Knowledge and understanding The student will acquire specific skills related to the acquisition of georeferenced data available from major databases (such as the National Geoportal, ISTAT database, Copernicus, Regional Web GIS, etc.), the analysis and processing of such data, and the production of georeferenced data through monitoring or derived from spatial analyses. Whenever possible, students will be involved in activities related to ongoing research projects. Applying knowledge and understanding By the end of the course, the student will be familiar with the fundamental elements of cartography and digital cartographic representation. They will be able to create thematic maps related to territorial elements, conduct spatial analyses of various phenomena, and develop a cartographic project. The student will have gained proficiency in using GIS software and employing remotely sensed images for territorial analyses. Making judgements The course aims to develop analytical skills at the territorial scale with the goal of proposing technical and practical solutions Communication skills The student will be required to produce an exam work by applying the acquired knowledge, conducting part of the work independently and part in a group to promote learning ability and work autonomy. Learning skills During the course, the student will be able to develop learning skills through active participation. Throughout the lessons, the student will have the opportunity to identify methods for acquiring and updating information, select and utilize the most useful sources, apply the acquired knowledge, and assess their own level of learning. Teacher's Profile courseProgram 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
MODULE II SIMONE PRIORI	Second Semester	6	AGR/14		Learning objectives The main objective of the teaching is to provide the knowledge required to understand the characteristics and spatial variability of soils, for proper site-specific soil management in agriculture and agro-ecosystem. Basic concepts of soil chemistry, physics and hydrology, pedogenetic factors and processes will be recalled. The student will learn to frame soil variability within an agro-ecosystem landscape, learn digital soil mapping techniques using GIS software and the use of innovative techniques for soil monitoring and mapping, in particular the use of proximal sensors such as electromagnetic induction and diffuse reflectance spectrometry. The student will also learn the applications of mapping products and soil data, such as land suitability maps, monitoring soil functionality, etc. Knowledge and ability to understand The student will have to demonstrate that he/she has learnt and understood the main aspects of soil mapping and monitoring, namely: • the main chemical, physical and hydrological characteristics of soils; • the principles of horizon and soil classification; • the principles of soil mapping, especially digital mapping, using methods of data spatialization and clustering of homogeneous units through GIS software; • the principles of soil science applied to agronomy with regard to soil suitability, water and nutrient availability, recognition of possible problems (e.g. waterlogging, erosion susceptibility, etc.). Applying knowledge and understanding The student will be able to use the acquired knowledge to: • describe the main characteristics of a soil profile and the associated pedogenetic processes, understanding the links between environmental characteristics and the chemical-physical and hydrological ones; • understand the location of a certain soil type within a landscape and its geographical limits related to variations in pedogenetic factors; • apply proximal soil sensing techniques using sensors and carry out the spatialization of soil data; • be able to identify any problems or risks related to soil functionality and circumscribe them. Making judgement The student must be able to independently recognise a certain soil type and the soil processes present. He/she 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 spatialise them in the plot of interest and understand which soil characteristics are associated with the variability of these data. Communication skills The student 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 student 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. Teacher's Profile courseProgram - 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 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
119428 - TRAINING	First Semester	2
119417 - DIGITAL MANAGEMENT OF WATER RESOURCES CIRO APOLLONIOCIRO APOLLONIO	First Semester	6	AGR/08		Learning objectives The course covers the main aspects of digital water resource management at the catchment scale. The course aims to train the learner on the following topics: • regulatory aspects of water resources management; • the use of hydrological modelling software; • the use of hydraulic modelling software to assess the hydraulic characteristics of a free-flowing stream. Knowledge and understanding The course aims to develop students' knowledge and understanding skills, such as: • knowledge and understanding skills in a field of study at a level that is characterised by the use of advanced textbooks and also includes knowledge of some cutting-edge topics in the field of watershed managment; • ability to understand and hydrological data. Applied knowledge and understanding The course will enable them to apply knowledge by demonstrating adequate understanding, enabling them, for example: • to apply their knowledge and understanding in a way that demonstrates a professional approach to their work, as well as adequate skills to both devise and support arguments to solve problems in the field of watershed managment; • ability to collect and analyse hydrological data. Making judgements The course will allow the development of independent judgement at various levels, such as • hypothesising which causes most influence the occurrence of hydrogeological instability phenomena using one-dimensional hydraulic modelling software; • propose solutions for the mitigation of hydrogeological instability phenomena using one-dimensional hydraulic modelling software. Communication skills Attending lectures and/or making independent use of the material provided will facilitate the development and application of communication skills, such as: • ability to communicate information, ideas, problems and solutions, on the topics covered, to specialist and non-specialist people; • use an appropriate and up-to-date technical vocabulary in the field of hydrological-hydraulic modelling. Learning skills Attending lectures and/or making independent use of the material provided will facilitate the consolidation of one's learning skills, enabling one to, for example: • activate a programme of continuous updating of one's knowledge; • autonomously identify ways of acquiring information; • identify and use the most useful sources of information for personal updating. This learning capacity will be fundamental for undertaking subsequent studies with a high degree of autonomy. Teacher's Profile Teacher's Profile
119416 - DIGITAL TECHNOLOGIES APPLIED TO GENETICS MARIO AUGUSTO PAGNOTTA	First Semester	6	AGR/07		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. Teacher's Profile courseProgram 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
119424 - MACHINES AND PLANTS FOR PRECISION FARMING MASSIMO CECCHINI	Second Semester	6	AGR/09		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. Teacher's Profile courseProgram Main types of automated machines and systems for the precision agriculture and animal husbandry sector (operating principles, applications, safety and selection criteria). - Self-driving tractors. - Variable rate machines. - Robot for milking and for the preparation and distribution of the diet. - Drones. Computing architecture distributed on CAN-ISOBUS machines with virtual terminal. Safety in the use of machines based on electronic systems (active or passive tags on operators). Application of augmented reality techniques in the management of machines. Exercises: 8 hours 2 visits to farms with analysis of the mechanization and safety of machines. examMode The oral exam consists of three questions that will cover the entire program of the course. Each answer will be evaluated with a score from 0 to 10. The final mark will be given by the sum of the three individual marks. For the attribution of the vote, the level of knowledge of the contents demonstrated and the ability to apply the concepts learned will be taken into account. The ability to synthesize and the property of language will also be taken into consideration. In critical situations, such as a high number of candidates in the booking, or peculiarities of one or more candidates, the exam can be carried out in writing with three open-ended questions. Candidates will be given one and a half hours to respond. Furthermore, at the request of individual students, it is still possible to take the exam in written or oral form, regardless of what is reported in the official session. In any case, the same evaluation criteria described above will apply. books Teaching notes mode Lectures in the classroom broadcast in live streaming. Practice only in presence. classRoomMode Attendance at lectures and tutorials is recommended, but not mandatory. bibliography Advanced Automation for Tree Fruit Orchards and Vineyards (Ed. 2023) by Stavros G. Vougioukas (edited by), Qin Zhang (edited by) Springer International Publishing AG Precision Farming From Above: How Commercial Drone Systems are Helping Farmers Improve Crop Management, Increase Crop Yields and Create More Profitable Farms. (Ed. 2018) by Louise Jupp Writing Matters Publishing Precision Agriculture: Enabling Technologies (Ed. 2023) by Nekesah T. Wafullah Delve Pub La meccatronica nelle macchine agricole. Dal digitale al Precision Farming (Ed. 2020) Italian edition by Hanno Speich Tecniche nuove Tecnologie di precisione nelle macchine agricole: Telemetria, M2M, IoT, Big Data e Data Science (Ed. 2023) Italian edition by Rodes Silva Edizioni Sapienza Precision farming. Strumenti e tecnologie per un'agricoltura evoluta (Ed. 2020) Italian edition by Davide Misturini Edagricole
119425 - PRECISION LIVESTOCK FARMING LOREDANA BASIRICO'	Second Semester	6	AGR/18		Learning objectives In line with the educational objectives of the CdLM in 'Digital Management of Agriculture and Mountain Territory', 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. Teacher's Profile courseProgram 1. Livestock systems (Knowledge of the main livestock breeding technologies for the production of milk, meat and eggs) 2. Notes on the qualitative aspects of animal production 3. Overview of precision animal husbandry 4. Sensors 5. Precision feeding 6. Precision milking 7. Precision stable management; animal behavior monitoring systems; environmental sensors. examMode Oral interview.The assessment test will include at least three questions, which will tend to ascertain the student's theoretical knowledge of the part presented in class. Each question will be evaluated with a score from 0 to 10. The final vote will correspond to the sum of the three single votes. For the purpose of attributing the mark, the commitment and active participation in the exercises proposed during the course will also be taken into consideration. Particular attention is paid to the student's ability to reason across the board, linking the concepts of various parts of the teaching through the necessary logical-deductive connections, and to communicate using clear and appropriate language. books SANDRUCCI A., TREVISI E. (A CURA DI), Produzioni Animali. ED. EDISES, 2022. ABENI F., NANNONI E., SANDRUCCI A. (A CURA DI), Zootecnia di precisione e tecnologie innovative in allevamento. ED. Point Veterinarie Italie (PVI), 2024 Precision technology and sensor applications for livestock farming and companion animals. Edited by E. (Lenny) van Erp-van der Koo, Wageningen Academic Publishers, 2021. mode The course is divided into lectures in the classroom, exercises in the classroom or in the laboratory and visits to farms. 1) Lectures to expose the key concepts of the subject. The lessons are accompanied by power point aids, subsequently made available on the Moodle platform; 2) Practical lessons, in the classroom or in the laboratory. 3) Seminars held by recognized experts on specific topics of the course. classRoomMode Attendance of classroom lessons is optional, but the participation in exercises and visits to farms are strongly recommended, because they allow the student to learn and appropriate theoretical knowledge in the context of its use. bibliography Teaching material provided by the teacher. Lesson notes, reference bibliography or other material will be inserted by the teacher on the dedicated website (Moodle platform).
119429 - FINAL TEST	Second Semester	20

SUBJECT	SEMESTER	CFU	SSD	LANGUAGE
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.
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. Teacher's Profile
MODULE II RAFFAELE CORTIGNANI	First Semester	5	AGR/01		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. Teacher's Profile courseProgram 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. bibliography Teaching material and scientific papers made available by the teacher.
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. Teacher's Profile courseProgram 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. Teacher's Profile courseProgram 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 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. Teacher's Profile courseProgram 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.
120707 - SOFT SKILLS NICOLA IACOBONI	First Semester	5			Learning objectives 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. Teacher's Profile
120693 - APPLIED SOIL SCIENCE	-	10	-	-	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.
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. Teacher's Profile
120693 - APPLIED SOIL SCIENCE	-	10	-	-	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.
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. Teacher's Profile courseProgram - 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 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.
MODULE II ANDREA PETROSELLI	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. Teacher's Profile
MODULE II LEONARDO BIANCHINI	First Semester	5	AGR/09		Learning objectives 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. Teacher's Profile courseProgram The course provides an integrated overview of the management of renewable energy resources in mountain environments, analysing the main sources available: forest and agricultural biomass, agro-industrial residues, solar energy, small-scale wind power, and hydropower. A central part of the course is dedicated to energy conversion technologies, ranging from biomass-based solutions: combustion, pyrolysis, gasification, pellet and woodchip systems, anaerobic digestion, to other renewable technologies applicable in mountain areas. These solutions are examined in relation to the typical logistical, environmental, and infrastructural constraints of mountain contexts. A dedicated section focuses on quality and certification standards for biomass and pellet fuels according to European regulations, as well as on the tools needed to assess the technical feasibility, territorial compatibility, and sustainability of different energy solutions. In the applied section of the course, several hours will be devoted to a project work, which may involve the feasibility study of a small bioenergy plant or the analysis of a real case with a proposed transition toward renewable energy sources. examMode Assessment consists of a final oral examination with questions covering the topics addressed in the course, aimed at verifying students’ understanding and their ability to connect the different aspects of renewable energy sources. The project work developed during the course will also be evaluated and will contribute to the final grade, assessing the student’s practical, analytical, and design capabilities. books Teaching materials consist of lecture slides and supplementary articles provided by the instructor during the course or through the e-learning platform. classRoomMode Attendance is not mandatory, but recommended, especially for exercises, technical visits, and project work activities that support the practical understanding of the course topics.
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.
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

CHOICE GROUPS	YEAR/SEMESTER	CFU	SSD	LANGUAGE

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