MANUELA
PETTI
ING-INF/06
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE
NEWS
First lecture: Tuesday Sep 26th
- In-person attendance: Room A2, Building RM102 (Via Ariosto 25)
- Electronic resources: https://classroom.google.com/c/NjI1ODE4OTcyMjYw?cjc=ev5sorb
BIOINFORMATICS AND NETWORK MEDICINE
NEWS
First lecture: Tuesday Sep 26th
- In-person attendance: Room A2, Building RM102 (Via Ariosto 25)
- Electronic resources: https://classroom.google.com/c/NjI1NTgzODA5NTkx?cjc=jjfqwzy
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE
NEWS
First lecture: Tuesday Sep 20th
Updated info on attendance can be found here
- In-person attendance: Room A2, Building RM102 (Via Ariosto 25)
- Electronic resources: https://classroom.google.com/c/NTQ4NTQ1ODM0MjE1?cjc=gliqfsm
BIOINFORMATICS AND NETWORK MEDICINE
NEWS
First lecture: Monday Sep 19th
Updated info on attendance can be found here
- In-person attendance: Room A2, Building RM102 (Via Ariosto 25)
- Electronic resources: https://classroom.google.com/c/NTQ4NTA5MjYwMTM1?cjc=xisp533
[LM-91 Data Science - Fall 2021]
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE
Info for the second module of the course with Prof Giulia Fiscon are available here.
NEWS The lesson on Tuesday 12 October is canceled
NEWS The lesson on Thursday 30 September will not be held
First lecture: Tuesday Sep 21th
Updated info on in person and online attendance can be found here
- In-person attendance
-
Students in-person attendance booking system [PRODIGIT]
-
On-line attendance
-
Zoom Meeting ID: 854 5518 5261
-
Passcode: 175472
-
- Electronic resources: here
NB It is mandatory to sign into Zoom and Classroom using the Google account: xxx@studenti.uniroma1.it
[LM-91 Data Science - Fall 2021]
BIOINFORMATICS AND NETWORK MEDICINE
First lecture: Monday Sep 27th
Updated info on in person and online attendance can be found here
- In-person attendance
-
Students in-person attendance booking system [PRODIGIT]
-
On-line attendance
-
Zoom Meeting ID: 884 5639 6136
-
Passcode: 508743
-
- Electronic resources: https://piazza.com/uniroma1.it/fall2021/10593052/home
NB It is mandatory to sign into Zoom and Classroom using the Google account: xxx@studenti.uniroma1.it
_________________________________________________________________________________________
[LM-91 Data Science - Fall 2020/2021]
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE
NEW Info for the first week of the second part of the course with Prof Daniela Paolotti
On-line attendance:
- Tuesday 16 November. Zoom meeting: https://us02web.zoom.us/j/84704514695?pwd=RmY1bmZnY1pPNXlhcE1ycjlXVDZBQT09
- Thursday 18 November. Zoom meeting: https://us02web.zoom.us/j/81361728023?pwd=T2J1ZWNmQk42YUlmTWd2amg0S3Z5dz09
The class start has been postponed to Tuesday October 6th! [last update September 23rd]
Here is a list of electronic resources for the course Digital epidemiology and Precision Medicine:
Updated info on in-person attendance
-
Lecture room: see the official class schedule [datascience.i3s] [corsidilaurea]
-
Students in-person attendance booking system [PRODIGIT]
Updated info on on-line attendance
-
Zoom Meeting ID: 892 6290 8053, Passcode: 861606, [link]; it is mandatory to sign into Zoom using the Google account: xxx@studenti.uniroma1.it
-
Overview on some tools for off-campus and online teaching [link]
[LM-91 Data Science - Fall 2020/2021]
BIOINFORMATICS AND NETWORK MEDICINE
The class start has been postponed to Monday October 5th! [last update September 23rd]
Here is a list of electronic resources for the course Bioinformatics and Network Medicine:
-
Piazza webpage: piazza.com/uniroma1.it/fall2020/10593052
Updated info on in-person attendance
-
Lecture room: see the official class schedule [datascience.i3s] [corsidilaurea]
-
Students in-person attendance booking system [PRODIGIT]
Updated info on on-line attendance
-
Zoom Meeting ID: 819 9577 6200 [link]; it is mandatory to sign into Zoom using the Google account: xxx@studenti.uniroma1.it
-
Overview on some tools for off-campus and online teaching [link]
Insegnamento | Codice | Anno | Corso - Frequentare | Bacheca |
---|---|---|---|---|
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 10593053 | 2023/2024 | ||
BIOINFORMATICS AND NETWORK MEDICINE | 10593052 | 2023/2024 | ||
BIOINFORMATICS AND NETWORK MEDICINE | 10593052 | 2022/2023 | ||
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 10593053 | 2022/2023 | ||
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 10593053 | 2021/2022 | ||
BIOINFORMATICS AND NETWORK MEDICINE | 10593052 | 2021/2022 | ||
DIGITAL EPIDEMIOLOGY AND PRECISION MEDICINE | 10593053 | 2020/2021 | ||
BIOINFORMATICS AND NETWORK MEDICINE | 10593052 | 2020/2021 | ||
DIGITAL EPIDEMIOLOGY | 1047216 | 2019/2020 | ||
BIOINFORMATICS | 1047220 | 2019/2020 | ||
BIOINFORMATICS | 1047220 | 2019/2020 | ||
DIGITAL EPIDEMIOLOGY | 1047216 | 2019/2020 | ||
BIOINFORMATICS | 1047220 | 2018/2019 | ||
MODELLING AND SIMULATION OF BIOMOLECULAR DYNAMICAL SYSTEMS | 1049267 | 2018/2019 | ||
DIGITAL EPIDEMIOLOGY | 1047216 | 2018/2019 |
Tuesday, h 14:00-16:00
Department of Computer, Control, and Management Engineering "Antonio Ruberti", room A217
(email notification is welcome)
Martedì, h 14:00-16:00
Dipartimento di Ingegneria Informatica Automatica e Gestionale "Antonio Ruberti", stanza A217
(è gradita email di prenotazione)
Manuela Petti received her M.Sc. Degree in Biomedical Engineering cum laude from the Sapienza University of Rome in 2011 and her PhD in Biomedical Engineering from University of Bologna Alma Mater Studiorum in 2016. Form 2019 she is an Assistant Professor at the Department of Computer, Control, and Management Engineering at Sapienza University of Rome. She was a visiting student with the University of Indiana at Bloomington (USA) in 2015. She was a PostDoc at the Department of Computer, Control and Management Engineering of Sapienza University of Rome from 2016 to 2018. Starting from 2011, she is junior scientist at IRCCS Fondazione Santa Lucia, Rome (Neuroelectrical Imaging and BCI lab). Her research interests are in the area of biological complex system study. In particular, she has been working on the estimation of brain connectivity, biological networks analysis (e.g. brain networks, human interactome) and network medicine.