D3a - Dipartimento di Scienze Agrarie, Alimentari e Ambientali - Guida degli insegnamenti (Syllabus)
Knowledge on Agronomy and normal distribution and Mathematics
The course consists of theoretical lectures (4 ECTS) and computer exercises (2 ECTS). The didactic method is based on ppt slides provided in copies to the students.
Knowledge. With this course the students will acquire knowledge and expertise related to control the factors that can affect agri-environment at landscape scale.
Applying knowledge and understanding. The student will acquire the following skills: capacity to i) identify the most appropriate indicators, biophysical monitoring and mathematical models for spatial analysis; ii) design and facilitate a landscape analysis, also with the involvement of stakeholders, for the definition of solutions; iii) structuring an experimental design and analyze data.
Cross-expertise. Ability to communicate with other professionals (engineers, botanists, biologists, etc.), policy makers and local stakeholders for land management.
Definition of Land Agronomy. Definition of non-point source pollution. Definition of Resource dilemma. Indicators for landscape analysis. Definition of an indicator. Nutrient budget, USLE, rotation, land cover indicators (1 ECTS).
Mathematical models for landscape analysis. Classification of mathematical models: Deterministic vs. probabilistic (stochastic); Discrete vs. continuous; Explicit vs. implicit (1 ECTS).
Stakeholders involvement for land analysis. Definition of stakeholder. Stakeholder analysis. Participatory approach. Mathematical models and indicators as dialogical tools. Management vs. co-management, decision making vs. problem solving. Command and control approach. Capacity building. Adaptive building (1 ECTS).
Statistical data analysis. Analysis of variance (ANOVA). Experimental design: Completely randomized design Randomized block design split-plot, Latin square. Factorial design. LSD (1 ECTS).
Computer exercises (2 ECTS).
Learning evaluation methods
A written classwork for statistical analysis and an oral discussion for landscape analysis.
Learning evaluation criteria
The student will have to demonstrate to have acquired: i) knowledge of experimental designs and statistical data analysis; ii) knowledge of the spatial analysis tools. To pass the oral exam, the student have to demonstrate an overall understanding of the content using appropriate technical terminology, and to be able to deal with deductive reasoning that enable him to create links within matter, and to have a complete mastery of the subject.
Learning measurement criteria
The final mark is attributed in thirtieths by summing to the evaluation of the written classwork the evaluation of the oral discussion.
Final mark allocation criteria
The oral discussion will consist of one question regarding the landscape analysis, evaluated with a score ranging from 0 to 15 points. The written classwork will be divided into two questions related LSD and ANOVA with a score ranging from 0 to 7.5 points each. The degree of 30 “cum laude” is attributed when the student demonstrates complete mastery of the subject.
Landi R., 1999. Agronomia e ambiente. Edagricole, Bologna.
Camussi A., Moeller F., Ottaviano E., Sari Gorla M., 1995 Metodi statistici per la sperimentazione biologica. II Edizione, Zanichelli
Pellizzoni L., Osti G., 2008. Sociologia dell’ambiente. Il Mulino Manuali.
Tuesday and Wednesday from 11 am to 1 pm