La partecipazione è gratuita e non necessita di registrazione. Il link per partecipare vi sarà comunicato poco prima dell’evento.

Online lectures will be uploaded on the ARIEL platform on:
• 01/02/2020 Introduction to statistics
• 03/02/2020 Introduction to the R statistical software
• 08/02/2020 Analysis of variance with R
• 10/02/2020 Regression with R
• 15/02/2020 Generalized least squares models with R
• 17/02/2020 Generalized linear models with R
• 22/02/2020 Introduction to R markdown

 

Online question time with the teacher:
• 05/02/2020 4-5 PM Microsoft Teams
• 12/02/2020 4-5 PM Microsoft Teams
• 26/02/2020 4-5 PM Microsoft Teams

Online lectures will be uploaded on the ARIEL platform on:
• 01/03/2020 Introduction to the linear model
• 03/03/2020 Generalizations of the linear model
• 08/03/2020 The mixed model (part 1)
• 10/03/2020 The mixed model (part 2)
• 15/03/2020 Introduction to the Generalized Linear Mixed Models

 

Online question time with the teacher:
• 05/03/2020 4-5 PM Microsoft Teams
• 12/03/2020 4-5 PM Microsoft Teams
• 19/03/2020 4-5 PM Microsoft Teams

3Rs: Alternative methods and replacement

• 4 May 2021 14:30-18:30
• 5 May 2021 14:30-18:30
• 6 May 2021 14:30-16:30

Docente: Prof Francesca Caloni

Dipartimento di Scienze e Politiche Ambientali (ESP)

REGISTRAZIONE OBBLIGATORIA SUL LINK DEL CATALOGO D’ATENEO

COMPULSORY REGISTRATION ON THE UNIVERSITY CATALOGUE

The course consists of 4 modules of 2h 30min each, as detailed below:

 

• 3 June - 8.30-11.00 - The mechanisms of antibiotic resistance, (Prof. V. Ferrante) -
• 3 June - 11.15-13.45 - Emission from livestock waste, (Prof. M. Guarino)
• 4 June - 8.30-11.00 - Livestock valorisation: nutrients recovery and soil impact, (Prof. F. Tambone)
• 4 June - 11.15-13.45 - Management and treatment of livestock waste, (Prof. G. Provolo)

Total: 2 ECTS

The course is organized through 4 seminars in order to comprehensively clarify the various aspects concerning the impact of livestock production on the environment. Starting from the analysis of the main management and treatment techniques, we will move on their impact on the atmosphere and the problems related to the mechanisms of antibiotic resistance. Finally, the course will conclude with a focus on the possible valorisation of effluents in agricultural and energy fields.

Dear PhD Students,
I am just back to Italy after a short scientific campaign in Africa. It is a difficult moment, but we will do our best to guarantee the prosecution of the teaching activities, including PhD courses.
I am therefore preparing all the material for the course in multivariate statistical analysis and a series of videos that of will replace the lessons. These materials will be available on the Ariel online platform (https://rambrosiniamdeam.ariel.ctu.unimi.it) before the scheduled time of each lesson.
I will also be available on the online blog in Ariel during the scheduled time of lessons to answer your questions.
At the end of the course, credits will be granted to those that will have attended > 70% of the lessons, based on individual accesses recorded by the Ariel platform.

For any question, please do not hesitate to contact me.
With kind regards,
Roberto Ambrosini


The curse aims at introducing some advanced multivariate statistical methods widely used in the analysis of ecological and environmental data, like cluster analysis, principal component analysis (PCA) and redundancy analysis (RDA). These methods are commonly applied also to data matrices obtained from molecular and sequencing methods, like relative OTU abundance or patterns of gene expression.

Schedule:

• 16/3 h.9-13:30 Aula Informatica 310, Via Celoria 20 Lesson 1: Introduction to multivariate statistics and to the R software, data matrix, distances and their properties
• 18/3 h.9-13:30 Aula Informatica 310, Via Celoria 20 Lesson 2: Cluster analysis with R
• 20/3 h.9-13:30 Aula Informatica 310, Via Celoria 20 Lesson 3: Principal component analysis with R
• 24/3 h.9-13:30 Aula Informatica 310, Via Celoria 20 Lesson 4: Analysis of ecological structures with R, part 1: matrix comparison methods (Mantel test and ANOSIM)
• 26/3 h.9-13:30 Aula 306, Via Celoria 20 Lesson 5: Analysis of ecological structures with R, part 2: canonical analysis (redundancy analysis)
Total n. 20 hours = 4 CFU with R

Schedule:

• 30 gennaio 2020 h.9-11 Aula B5 Introduzione alla statistica / Introduction to statistics
• 3 febbraio h. 9-13 aula 306. Introduzione al software R / Introduction to the R statistical software
• 5 febbraio h. 9-13 aula 306 Analisi della varianza con R / Analysis of variance with R
• 10 febbraio h. 9-13 aula 306 Analisi di regressione con R / Regression with R
• 12 febbraio h. 9-13 aula 311 Modelli ai minimi quadrati generalizzati con R / Generalized least squares models with R
• 17 febbraio h. 9-13 aula 311 Modelli lineari generalizzati con R / Generalized linear models with R
• 19 febbraio h. 9-13 aula 306 Introduzione a R markdown / Introduction to R markdown

E' previsto anche un corso avanzato che il prof. Ambrosini terra a marzo. Il calendario sara diffuso a fine gennaio.
Infine, fate attenzione alla tempistica del catalogo d'Ateneo per la registrazione della vs. partecipazione.