Training in specific methods of research
This training offering is designed to provide doctoral students with the tools and skills necessary to conduct rigorous and innovative research in their areas of interest. The offer will be progressively expanded to offer a variety of specialized modules in advanced research methods, including quantitative and qualitative techniques, data analysis, experimental methods, field research, and many others, with the aim of increasing the ability for excellence in research.
Training courses and seminars offered by UPC professors or visitors, organized by the Doctoral School or in collaboration with the ICE.
Courses open for enrolment
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 |
Past courses
Statistics and data science for PhD research. Module 2: Bayesian Modelling (2nd edition)
Duration | Location | Enrolment deadline | Start date | Schedule | Details | Enrolment | Further information |
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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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