Aim of the seminar

This seminar has two objectives.

The first is to provide a comprehensive ‘map’ of the main forms of reasoning, or types of inference.

The second is to discuss the form of reasoning that seems to be the most characteristic of the empirical sciences, namely abductive reasoning.

Brief description of the speaker’s professional background

Biology and management of rodent and lagomorph laboratory animals

• Appropriate basic biology of rodents and lagomorphs

• Appropriate basic biology specific to rodent and lagomorph species

• Health care and management of rodents and lagomorphs

• Recognition of the pain suffering and distress

• Humanitarian methods of suppression

• Minimally invasive procedures without anesthesia

• National legislation and ethics

The theoretical lessons are held by the IZSLER when available.

The practical course will be done at Charles River facility in Calco (Lecco) and it is 1 day course. 

• Descriptive statistics

• Probability

• Discrete and continuous probability distribution

• Hypothesis testing: one-sample and two-sample inference

• Hypothesis testing: categorical data

• Multi-sample inference

• Nonparametric methods

• Correlation and regression

• Survival analysis

The course aims to provide the basic knowledge on copyright, elements of open science and open access, introduction to open data, uploading theses into IRIS, description of the policy of the University for Open Access.

Progetto UPO Openthesis

Choose the best options among the scheduled classes. 

• Aprile, 01 - from 10.30 am to 1 pm (Italian language)

• April, 16 - from 12.30 pm to 13 pm (Italian language)

• May, 8 - from 2.30 pm to 5 pm (Italian langiage)

• May, 19 - from 1 pm to 3.30 pm (English language)

all courses are on-line. Information for registration coming soon

This course is designed as a brief practical introduction to the Python programming language, specifically for students with a biological background. It consists of four lectures covering the basics of the programming language, followed by hands-on exercises aimed at understanding specific simple examples of usage and analysis. No prior experience in programming is required; however, the course is intended for students genuinely interested in using Python in their research work. Deliverables: provide students with basic knowledge and a working methodology to further explore programming through more advanced courses and studies.