Past courses
Introduction to Bayesian Data Analysis
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours | Campus Nord D3004 |
21-10-2024 | 05-11-2024 |
05-11-2024 10:00-13:00 |
The course is in person and taught in English. It is limited to 25 attendees, it requires basic notions of statistics. | Form | Syllabus |
Module 2: Introduction to Bayesian data Modelling
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours |
B4 002 (days 4 and 5) A4 101 (days 11 and 12) CNord |
21-10-2025 | 04-11-2025 | 04-11-2025 05-11-2025 11-11-2025 12-11-2025 10:00-14:00 |
Presential course taught in English. Limited to 30 attendees. Statistics basic knowledge is required. | Form | Syllabus |
Module 3: Research project
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours | A1 101 Campus Nord |
23-03-26 | 08-04-26 |
08-04-2026 10:00-13:30 |
Presential course fixed to April 2026. Advanced knowledge in Statistics. Limited to 15 attendees. |
Form | Syllabus |
Module 4: Statistical Modelling
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours | A3 103 Campus Nord |
30-03-2026 | 13-04-2026 |
13-04-2026 10:00-13:00 |
Presential course fixed to April/May 2026. Requirements: Probability and statistics. Programming with statistical software, R recommended. Limited to 20 attendees. | Form | Syllabus |
Module 5: An introduction to multivariate data analysis
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours | A2 104 Campus Nord |
06-04-2026 | 20-04-2026 | 20-04-2026 22-04-2026 27-04-2026 29-04-2026 04-05-2026 14:00-17:00 |
Presential course. Requirements: Linear algebra. Probability and statistics. Programming with statistical software, R recommended. Limited to 20 attendees. | Form | Syllabus |
Statistics and data science for PhD research. Module 2: Bayesian Modelling (2nd edition)
| Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 hours | Campus Nord D6004 | 24-05-24 | 04-06-24 | 04-06-24 06-06-24 11-06-24 13-06-24 20-06-24 10:00-13:00 |
All sessions will be done in person | Limited to those who were placed on the waiting list for the first edition, who have been contacted through email | Syllabus |
Statistics and data science for PhD research. Module 2: Bayesian Modelling
| Duration (hours) | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
|---|---|---|---|---|---|---|---|
| 15 | Campus Nord A2104 Online |
15-04-2024 | 22-04-2024 | 22-04-2024, 25-04-2024, 29-04-2024, 06-05-2024, 09-05-2024, 15:00-18:00 |
All the sessions will be in-person except for the last one (09-05-2024), which will be carried out through Google Meet. | Form | Syllabus |
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