Statistical Methods in Environmental Studies

A.Y. 2020/2021
Overall hours
MED/01 SECS-P/05
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.
Course syllabus and organization

Single session

Lesson period
Second semester
In case of lockdown, synchronous recorded lecture will be available online
Course syllabus
Environmental Sampling.
Models for Data (Statistical Models, Discrete Distributions, Continuous Distributions)
Regression-type models and methods.
Panel data analysis.
Time Series Analysis.
Spatial-Data Analysis (Point Patterns, Correlation between Variables in Space, Kriging)
Prerequisites for admission
Prerequisites for this course include a good knowledge of the mathematical tools presented in Calculus I, Linear Algebra and Basic Statistics courses
Teaching methods
Face-to-face lectures, tutorials
Teaching Resources
V. Barnett, Environmental Statistics. Methods and Applications. Wiley, 2004.
Hill, Griffiths, Lim Principles of Econometrics. John Wiley & Sons, Inc
Lecture Notes
Assessment methods and Criteria
Written Exam
MED/01 - MEDICAL STATISTICS - University credits: 0
SECS-P/05 - ECONOMETRICS - University credits: 0
Practicals: 32 hours
Lessons: 32 hours
on appointment
office 2099
Appointment by email
Office or online (by videocall)