Training and Research

PhD school courses/classes - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.

Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Credits

1

Language

English

Class attendance

Free Choice

Learning objectives

The purpose of the modules is to explain, at an intermediate level, the basis of probability theory and some of its more relevant theoretical features.
The topics will be illustrated and explained through many examples.
Students are expected to acquire the language and the concepts needed to better understand the probabilistic models and the statistical techniques used in their subjects.

Program

- Discrete random variables, binomial distribution.
- Continuous random variables, density functions.
- Transformations of random variables.
- Expectation, variance and moments of random variables.
- Multidimensional random variables, discrete multidimensional random variables, marginal and conditional distributions, independent random variables.
- Linear combinations of random variables.
- Introduction to limit theorems, weak law of large numbers.

When and where

Lessons will be delivered via Zoom; recordings will be made available by the lecturer. Attendance is not required, but passing a written test is required to obtain credits.
27 October 2023, 14:00-17:00
10 November 2023, 14:00-17:00
24 November 2023, 14:00-16:00
Moodle link

Scheduled Lessons

When Classroom Teacher topics
Friday 27 October 2023
14:00 - 17:00
Duration: 3:00 AM
To be defined Marco Minozzo Introduction to probability (module II)
Friday 10 November 2023
14:00 - 17:00
Duration: 3:00 AM
To be defined Marco Minozzo Introduction to probability (module II)
Friday 24 November 2023
14:00 - 16:00
Duration: 2:00 AM
To be defined Marco Minozzo Introduction to probability (module II)

Faculty

A B C D F G L M O P R S T Z

Antoniazzi Franco

symbol email franco.antoniazzi@univr.it symbol phone-number +39 045 812 7811-7131

Bencivenga Maria

symbol email maria.bencivenga@univr.it symbol phone-number +39 045 812 7053

Conci Simone

symbol email simone.conci@univr.it

De Santis Daniele

symbol email daniele.desantis@univr.it symbol phone-number +39 045 812 4251 - 4097

Ferrante Giuliana

symbol email giuliana.ferrante@univr.it symbol phone-number 045/8127858

Gaudino Rossella

symbol email rossella.gaudino@univr.it symbol phone-number +39 045 812 7121

Gottin Leonardo

symbol email leonardo.gottin@univr.it symbol phone-number +39 045 812 7250

Lombardo Giorgio

symbol email giorgio.lombardo@univr.it symbol phone-number +39 045 812 4867

Luciani Giovanni Battista

symbol email giovanni.luciani@univr.it symbol phone-number +39 045 812 3337

Maffeis Claudio

symbol email claudio.maffeis@univr.it symbol phone-number +39 045 812 7664

Onorati Francesco

symbol email francesco.onorati@univr.it symbol phone-number 045/8121945

Pedrazzani Corrado

symbol email corrado.pedrazzani@univr.it symbol phone-number +39 045 812 6719

Pietrobelli Angelo

symbol email angelo.pietrobelli@univr.it symbol phone-number +39 045 812 7125

Ribichini Flavio Luciano

symbol email flavio.ribichini@univr.it symbol phone-number +39 045 812 2039

Rungatscher Alessio

symbol email alessio.rungatscher@univr.it symbol phone-number +39 045 812 3307

Ruzzenente Andrea

symbol email andrea.ruzzenente@univr.it symbol phone-number +39 045 812 4464

Salvia Roberto

symbol email roberto.salvia@univr.it symbol phone-number +39 045 812 4816

Schweiger Vittorio

symbol email vittorio.schweiger@univr.it symbol phone-number +39 045 812 4311

Trevisiol Lorenzo

symbol email lorenzo.trevisiol@univr.it symbol phone-number +39 045 812 4023

Zaffanello Marco

symbol email marco.zaffanello@univr.it symbol phone-number +39 045 812 7126

Zotti Francesca

symbol email francesca.zotti@univr.it symbol phone-number +39 045 812 6938

PhD students

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Course lessons
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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.