STATISTICAL ANALYSIS AND ENVIRONMENTAL MODELS
Stampa
Enrollment year
2020/2021
Academic year
2021/2022
Regulations
DM270
Academic discipline
SECS-S/02 (STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH)
Department
DEPARTMENT OF BIOLOGY AND BIOTECHNOLOGY "LAZZARO SPALLANZANI"
Course
EXPERIMENTAL AND APPLIED BIOLOGY
Curriculum
Biologia ambientale e biodiversità
Year of study
Period
1st semester (01/10/2021 - 14/01/2022)
ECTS
6
Lesson hours
48 lesson hours
Language
Italian
Activity type
WRITTEN TEST
Teacher
MONTI MARIA CRISTINA (titolare) - 6 ECTS
Prerequisites
basic statistic both descriptive and inferential (elementary tests: Student's t and chisquare)
Learning outcomes
Biological and environmental research need di fornire le conoscenze di base per un approccio scientifico rigoroso all'analisi di dati per la ricerca in ambito biologico e ambientale. L’analisi e interpretazione di dati sperimentali e la scrittura e presentazione di un rapporto tecnico-scientifico verranno affrontati sia attraverso lezioni teoriche che mediante sessioni di lavoro pratico al computer.
Course contents
Aim of the course is to provide students with the basic knowledge of some advanced statistical model for the analysis of ambiental data (simple and multiple linear regression, logistic regression, Poisson regression).
Teaching methods
A theoretical and practical approach will be adopted. Excel software will be used.
Reccomended or required readings
MC Whitlock, D Schluter STATISTICAL ANALYSIS OF BIOLOGICAL DATA. Zanichelli publisher
Assessment methods
Examination through the discussion of methods and results interpretation from scientific articles. Students must testify to learn the right statistical analyses and to interpret and to communicate scientific evidence.
Further information
Examination through the discussion of methods and results interpretation from scientific articles. Students must testify to learn the right statistical analyses and to interpret and to communicate scientific evidence.
Sustainable development goals - Agenda 2030