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PRESENTATION SKILLS 2024 - PROF. BACCHETTA ALESSANDRO

Course devoted to PhD students of all disciplines, in English, to improve scientific presentations.

The course is organized in two parts.
First part: Presentation Making.
Choosing and organizing the contents of a presentation. Focusing on the goals. Paying attention to the audience. Designing the slides.
Preparation of mini presentations by the students with feedback and discussion.
Second part: Public Speaking Voice instruments and acquisition of voice awarness. Analysis and use of vocal variety. Relation between speaker, audience, and text. Importance of proxemics and eye contact. Audience awarness. Action space analysis.

PhD Course on Machine Learning - Jennifer Ngadiuba, Daniela Rebuzzi

PRESENTATION SKILLS 2023 - PROF. BACCHETTA ALESSANDRO

Course devoted to PhD students of all disciplines, in English, to improve scientific presentations.

The course is organized in two parts.
First part: Presentation Making.
Choosing and organizing the contents of a presentation. Focusing on the goals. Paying attention to the audience. Designing the slides.
Preparation of mini presentations by the students with feedback and discussion.
Second part: Public Speaking Voice instruments and acquisition of voice awarness. Analysis and use of vocal variety. Relation between speaker, audience, and text. Importance of proxemics and eye contact. Audience awarness. Action space analysis.

3RS PRINCIPLES AND IN VIVO TESTING PROTOCOLS - PROF. FERRIGNO ANDREA

This lecture is about 3Rs principle implementation in in vivo research protocols. We will start with the European legislation on Drug development, with a special focus on when animal testing is mandatory, criteria used in the choice of the animal model, statistical estimation of numerosity and how to minimize animal discomfort.

STATISTICAL MODELS USEFUL IN BIOMEDICAL AND BEHAVIOURAL RESEARCH – A “HANDS ON” APPROACH EXPLOITING THE PACKAGE R - PROF. COMELLI MARIO ANGELO

  1. Simple and Multiple Linear Regression
  2. General Linear Model – Estimation and Prediction
  3. General Linear Model – Selection and Validation
  4. Random Effect General Linear Model
  5. Logistic Regression

RICERCA E NANOMEDICINA - RESEARCH AND NANOMEDICINE - PROF.SSA VISAI LIVIA

Lezione per il corso trasversale di dottorato "Ricerca e Nanomedicina"

LA RICERCA SCIENTIFICA E IL PRINCIPIO DELLE 3R - SCIENTIFIC RESEARCH AND 3R'S PRINCIPLE - PROF.SSA VISAI LIVIA

Lezioni del corso trasversale "La Ricerca Scientifica e il principio delle 3R"