Transversal activities shared by all Ph.D. courses

Under the national regulations concerning the PhD courses (Ministerial Decree 226/2021), the Scuola has provided ‒ according to its internal regulations ‒ the organization of disciplinary and interdisciplinary courses as well as of transversal activities, shared by all PhD courses: language and information technology lessons, knowledge of the European and international research systems, training in research management, in the enhancement of research results and protection of intellectual property.
Students attending the transversal activities will contribute towards the required education activities under the Ph.D. courses regulation of the SNS; in particular, according to the regulations of the Scuola, the above activities are included in the 150 hours of required attendance, up to a maximum of 30 hours, and must be added in the annual activities report.
Starting from the A.Y. 2022/23, the attendance of the course Open Science and Research Data Management (and use of IRIS)* is mandatory for second year students.

Transversal activities 2022

Open Science and Research Data Management*

Teachers: Emma Lazzeri, Gina Pavone, Donatella Tamagno, Marco Tomassini

For more information and details: CALENDAR & PROGRAM

DEADLINE FOR REGISTRATION DECEMBER 23,  2022 / Maximum number of participants per Edition: 40

ON-LINE&ENGLISH Edition (10 hours)
from January 16  to January 20, 2023 
Virtual Classroom
TEAMS - https://www.microsoft.com/it-it/microsoft-teams/log-in
Registration: https://forms.gle/wybeLs57LUgy1FeAA

1st CLASSROOM Edition (10 hours)
from January 23 to January 27, 2023
Scuola Normale superiore
Registration: https://forms.gle/JBWJ6ccCrhutkbJV9

2nd CLASSROOM Edition (10 hours)
from February 13 to February 16, 2023
Scuola Normale superiore
Registration: CLOSED

"Ask me anything" - 23/02/2023,  from 09.00 am to 11.00 am

AULA BIANCHI SCIENZE  AVAILABLE FOR ALL STUDENTS

IProML: Introduction to Programming and Machine Learning in Python

Teachers: 
Andrea Vandin
Daniele Licari

Module 1 – 16 hours (from April 20 to May 16)
Introduces students to the fundamental principles of structured programming with basic applications to data processing.

Module 2 – 14 hours (from May 20 to June 13)
Introduces the students to the components of typical data analysis processes and machine learning pipelines.
Programme and calendar
Registration by 13 April

English for Scientific Communication

The course includes a mix of writing and presenting skills - these two skills are NOT taught in separate courses but integrated into a single course in order to create more dynamic lessons.

Teacher: Adrian Wallwork
Period: from December, 6 2022 to February, 16 2023
Hours: 30 hours (2 hours per lesson)
Mode: predominantly online (Virtual Classroom on Zoom) & two lessons in presence

CALENDAR: Course Calendar  / PROGRAMME: Course Programme
 

REGISTRATION TERM: November 28, 2022

REGISTRATION FORM: https://forms.gle/8rXzwdgZZnnBapJAA