Università degli Studi di Napoli "Parthenope"

Teaching schedule

Academic year: 
2017/2018
Belonging course: 
Course of Bachelor's Degree Programme on ECONOMICS AND BUSINESS
Disciplinary sector: 
ECONOMIC STATISTICS (SECS-S/03)
Language: 
Italian
Credits: 
6
Year of study: 
3
Teachers: 
Cycle: 
Second semester
Hours of front activity: 
48

Language

Italian

Course description

The course aims at developing expertise to:
- Be able to understand the topics on the environmental changes, “land use”, and energy sources, as well as the main international strategies for the sustainable economic growth
- Know the suitable statistical tools which support the evaluation of environmental policies
- Be able to interpret results from statistical methods tailored to the economic and environmental needs and to the problem solving.

EXPECTED LEARNING OUTCOMES:

Knowledge and understanding:
The student should be able to understand the main theories for the analysis of socio-economic phenomena in the environmental framework, the data sources (primary and secondary), and some statistical tools for the analysis of environment in the spatial and temporal perspectives.

Applying knowledge and understanding:
The student should be able to build the data matrix using information from external sources (archives, surveys) and to manage it using statistical software. He/she should be able to interpret correctly the output from software.

Making judgements:
The student should be able to use the acquired knowledge and to “think” autonomously a work project and carry on in all its phases, from the definition of the environmental subject to the data searching and to the implementation of the statistical methods.

Communication:
The student should be able to communicate clearly and competently the (individual and/or group) work projects to the teacher and to the other colleagues of the Course. The student should be able to answer clearly and in-depth the questions of the oral examination.

Lifelong learning skills:
The student should be able to show a good learning ability and autonomy in investigating in-depth the matters of the Course using the references provided by the teacher.

Prerequisites

Basic knowledge of Statistics and Economics that are usually acquired by the student in the course of Statistics for Economics and other courses of Economics. However, in light of the real applications, the basic knowledge of statistics will be provided again.

Syllabus

The role of statistics for the environment Types and sources of environmental data. Environmental sampling. Data quality objectives process. Explorative analysis of environmental data. Territorial systems and their classification. Geocoding and referencing. Representing environmental data: maps, cartography, Sit-Gis technology. Digital maps. Statistical models for economic and environmental data. Multiple regression. Regression for binary, multinomial and ordinal data. Spatial models for georeferenced data. Study-cases.

I part (24 hours):
The role of statistics for the environment Types and sources of environmental data. Environmental sampling. Data quality objectives process. Explorative analysis of environmental data. Territorial systems and their classification. Geocoding and referencing. Representing environmental data: maps, cartography, Sit-Gis technology. Digital maps.

II part (24 hours):
Statistical models for economic and environmental data. Multiple regression. Regression for binary, multinomial and ordinal data. Spatial models for georeferenced data. Study-cases.

Teaching Methods

Traditional lectures. Exercises and pc-lab. Individual and group work projects.

Textbooks

- IPPC – Climate Change 2014 – Synthesis Report
- Manly B.F.J., Statistics for Environmental Science and Management, II Ed., CRC Press, Taylor & Francis Group
- Supplementary materials will be provided during the course

Learning assessment

The learning assessment is on an ongoing basis during the Course. Students are expected to take part into work projects on the environment with real data. In order to assess the students’ ability in applying their statistical skills in the environmental context, the discussion of the work projects to the teacher and to the other students are planned at the end of the Course using slides. This stage also includes an oral assessment of all the Course contents.

More information