ALLEGRA VIA

General Information
Allegra Via
allegra.via@uniroma1.it
Whatsapp: 3291535017
Department of Biochemical Sciences “A. Rossi Fanelli”
Room S25 , floor -1 , Building CU027
Office hours (by appointment): Fri 13:00-15:00
 
Courses AA 2025/2026
 
Programming and Machine Learning for Biological Data (English)
Where: Aula Calcolo (room 216-217-218)
In the corridor on the 2nd floor of the Fermi physics building (CU033)
 
When
Start: Wednesday 4th March 2026 - 9:00 - 11:00

Classes will take place on Wednesdays and Fridays as follows:

• March 2026 (9:00 - 11:00): 
  • Week 1: Wed 04/03 | Fri 06/03
  • Week 2: Wed 11/03 | Fri 13/03
  • Week 3: Wed 18/03 | Fri 20/03
  • Week 4: -
• April 2026 (9:00 - 11:00)
  • Week 1: Wed 01/04 |
  • Week 2: Wed 08/04 | Fri 10/04
  • Week 3:  Wed 15/04 | Fri 17/04
  • Week 4: Wed 22/04 | Fri 24/04
  • Week 5: Wed 29/04
• May 2026 (9:00 - 11:00)
  • Week 1: Wed 06/05 | Fri 08/05
  • Week 2: Wed 13/05 | Fri 15/05
  • Week 3: Wed 20/05| Fri 22/05
  • Week 4: Wed 27/05 | Fri 29/05
• June 2026 (9:00 - 13:00)
  • Week 1: Wed 03/06
  • Week 2:  Wed 10/06 | 12/06

Course Prerequisites
A biological or biomedical background. Knowledge of a variety of biological data and questions.
For the Programming module, no previous experience is necessary, however, you need to understand the concepts of files and directories and how to access your Google Drive.
Familiarity with at least one of the main OS (Linux, Mac OSX, Windows 10) is required. 
To be able to complete Module 3 (Advanced programming), the achievement of Modules 1 (Introduction) and 2 (Fundamentals) learning outcomes is a prerequisite.

Exam sessions
18/06/2026 - 9h00 - Sala calcolo - CU033
02/07/2026 - 9h00 - Sala calcolo - CU033
16/07/2026 - 9h00 - Sala calcolo - CU033
28/09/2026 - 9h00 - Aula Informatizzata CU010
17/11/2026 (S) - 9h00 - Aula Informatizzata CU010
21/01/2027 - 9h00 - Aula Informatizzata CU010

Assessment
Achievement of the course learning outcomes (LOs) will be evaluated through two components.
The first component is a data science project discussion. Students who attend the course are expected to discuss their project progressively during the course and, where possible, before the written exam. Students whose project does not meet the required standard will discuss it immediately after the written exam. The project discussion is designed to assess the achievement of the Machine Learning LOs, as well as students' critical thinking in the choice of a dataset, its pre-processing, and the use of data across all phases of a machine learning protocol.
The second component is a written exam, which assesses the achievement of the Python programming learning outcomes.
Each component is described in detail on eLearning.
 
Biologia Computazionale e Dinamica Molecolare - Modulo 1 (Italiano)
Lezioni di Machine Learning

Dove: 
Aula 301 Edificio D del Complesso Regina Elena, V.ke Regina Elena 295
Aula Carlo Conte, Policlinico Umberto I, V Clinica Medica, I piano

Start: Monday 16th March 2026 - 14:00 - 18:00

Le lezioni avranno luogo nei seguenti giorni e orari:

• Lunedì 16/03/2026 (14:00 - 18:00) | Aula 301 Edificio D Complesso Regina Elena
• Martedì 16/03/2026 (16:00 - 18:00) | Aula Carlo Conte, Policlinico Umberto I
• Venerdì 20/03/2026 (14:00 -  18:00) | Aula 301 Edificio D Complesso Regina Elena
• Venerdì 10/04/2026 (14:00 - 16:00)| Aula 301 Edificio D Complesso Regina Elena

Communication Skills (English)
Where: Aula Informatizzata, 2nd floor, Building CU010

When: Every Monday 14:30 - 17:30
Start: 30/03/2026

• March 2026 (15:00): 
  • Mon 30/03 
• April 2026 (15:00 - 18:00)
  • Mon 13/04
  • Mon 20/04
  • Mon 27/04
• May 2026 (15:00 - 18:00)
  • Mon 04/05
  • Mon 11/05
  • Mon 18/05
  • Mon 25/05

Laboratorio di Bioinformatica - Modulo 2 (Italiano)
Dove: Aula Informatizzata, 2nd floor, Building CU010
Inizio: 21/04/2026
Fine: 03/06/2025
Quando: Tutti i martedì e giovedì 16:00 - 18:00