Statistical Methods in Environmental Studies
A.Y. 2025/2026
Learning objectives
This course provides a broad overview of statistical methods and space-time data analysis frequently used in environmental science and studies. The topics covered in this course aim to provide you with the foundation and tools needed to empirically evaluate data
Expected learning outcomes
At the end of the course the student must be able to perform autonomously statistical analyses of environmental data, often having a space and/or time structure. The student must also be able to produce effective reports of the analysis.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
SECS-P/05 - ECONOMETRICS - University credits: 1
SECS-S/01 - STATISTICS - University credits: 5
SECS-S/01 - STATISTICS - University credits: 5
Practicals: 32 hours
Lessons: 32 hours
Lessons: 32 hours
Professor:
Stefanini Federico Mattia
Professor(s)
Reception:
by appointment on Tuesday and Wednesday (email)
Via Celoria 10