Training and Research
PhD Programme Courses/classes
This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!
Plant and Algae phenotyping
Credits: 5
Language: English
Teacher: Matteo Ballottari, Luca Mazzoni - UniVMP, Giovanni Dal Corso, Elisa Fasani
Innovative strategies in drug discovery: from enzyme structure-function to targeted protein degradation
Credits: 4
Language: inglese
Teacher: Daniele Guardavaccaro, Alejandro Giorgetti, Michael Assfalg, Alessandra Astegno
Principi di statistica per biotecnologi
Credits: 1
Language: Inglese/Italiano
Teacher: Roberto Chignola
Analisi metagenomica mediante metabarcoding: campionamento e produzione dei dati, analisi dei dati e interpretazione dei risultati
Credits: 2
Language: Inglese
Teacher: Nicola Vitulo, Silvia Lampis, Giovanna Felis
Advanced Biophysical and Proteomic Approaches to Unravel Protein Interactions
Credits: 2
Language: Italian
Teacher: Filippo Favretto, Jessica Brandi
The rhizosphere as a fundamental environment for the improvement of sustainability, crop production, and human health
Credits: 2
Language: Inglese
Teacher: Zeno Varanini, Anita Zamboni
Principi di statistica per biotecnologi (2025/2026)
Teacher
Referent
Credits
1
Language
Inglese/Italiano
Class attendance
Free Choice
Location
VERONA
Learning objectives
Students will have the possibility to understand some basic and general aspects of probability theory and statistics that are required for data analysis. At the end they will be able to plan their own experiments at best and analyze their own data.
Prerequisites and basic notions
Students should know the basis of statistics and should have already started to collect and analyze their own experimental data.
Program
The probability behind any statistical test
Student t test vs. ANOVA
Correlation and linear regression
Error propagation and data analysis
Didactic methods
Both on-site and online lessons
Learning assessment procedures
At the end of the course there will be no final exams. Students are encouraged to actively discuss all issues.
Assessment
Compulsory attendance
Criteria for the composition of the final grade
Not applicable
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Monday 23 February 2026 09:00 - 11:00 Duration: 2:00 AM |
Ca' Vignal 1 - F [93 - terra] | Roberto Chignola | The probability behind any statistical test: - definition of probability - probability mass functions and probability density functions - PMF and PDF as models of bio-processes - the Central Limit Theorem: implications for bio-experiments - use of PDF to calculate probability values for common or rare events: the case of blood sugar levels in healthy and unhealthy individuals - type I and II errors |
|
Tuesday 24 February 2026 09:00 - 11:00 Duration: 2:00 AM |
Ca' Vignal 1 - F [93 - terra] | Roberto Chignola | Student t test vs. ANOVA: - z- and t-transforms of data - the family of the Student t distributions: how much they approximate a standard Normal distributions as the function of the degrees of freedom and hence when, in our experiments, we can conclude that our data can approximate population data - the null hypothesis for the Student t tests - one-tailed vs. two-tailed tests - data dredging and the Bonferroni correction - one-way ANOVA and post-hoc tests - two-way ANOVA and the synergy between two treatments |
|
Wednesday 25 February 2026 09:00 - 11:00 Duration: 2:00 AM |
Ca' Vignal 1 - F [93 - terra] | Roberto Chignola | Correlation and linear regression: - simple linear regression: on the minimization of the squared error function - parameter estimation and statistics - similarity between one-way ANOVA and linear regression - ANOVA table of the linear regression - nested models and partial F statistics - how to model a one-way ANOVA test with a linear regression model - linear regression for factorial experiments - multi-variable linear regression: problems, limitations and use of alternative linear models - correlation: meaning and statistics |
|
Thursday 26 February 2026 09:00 - 11:00 Duration: 2:00 AM |
Ca' Vignal 1 - F [93 - terra] | Roberto Chignola | Error propagation theory with examples form actual lab experiments |
