In-person class cancellation and work-from-home / Annulation des cours en présentiel et télétravail

Updated: Tue, 03/10/2026 - 17:14
In-person class cancellation and work-from-home / Annulation des cours en présentiel et télétravail. McGILL ALERT! Due to freezing rain all in-person classes and activities on Wednesday, March 11, will be cancelled. Staff are asked not to come to campus tomorrow unless they are required on site by their supervisor to perform necessary functions and activities. See your McGill email for more information.
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ALERTE McGILL! En raison de la pluie verglaçante, tous les cours et activités en présentiel prévus pour le mercredi 11 mars sont annulés. Nous demandons au personnel de ne pas se présenter sur le campus demain, à moins que leur superviseur ne leur demande d’être sur place pour accomplir des fonctions ou activités nécessaires au fonctionnement du campus. Pour plus d’informations, veuillez consulter vos courriels de McGill.
McGill.CA / Centre for Social and Cultural Data Science / Initiatives / Workshops

Event Recap: Statistical Computing in R and Mathematics Summer Workshops

Faculty Advisors: Aaron Erlich (Political Science) and Thomas Soehl (Sociology)

August 23 to 25 and August 28 to 30 2017

Quantitative approaches comprise a large and growing part of social science and humanities research. It is increasingly difficult to take graduate level courses and read important papers in your field without and understanding of statistical inference, computer programming, and mathematical models.  Departments across McGill offer a wide range of courses in quantitative methods and data science but sometimes students feel inadequately prepared.

To overcome these entry hurdles, the Centre for Social and Cultural Data Science (CSCDS) in collaboration with the Centre for the Study of Democratic Citizenship (CSDC), the Geographic Information Centre and the Departments of Political Science and Sociology organized two three-day workshops during the last days of summer. In the R-workshop, we helped students up the first and steepest part of the learning curve in statistical computing and introduced data management skills that will save a lot of time. The Math-camp (re-) introduced the fundamental mathematical concepts that underlie all quantitative methods.

These inaugural workshops proved a great success; we had over 80 people sign up, showing the high demand for such courses! In each of the workshops, we had about 40 participants from eight different departments across different faculties including Political Science, Sociology, Management, Information Studies, Biomedical Ethics and others. Our participants were mainly incoming graduate students, but also those working on their dissertations. A few faculty members also attended! Most impressively,  almost everybody stuck it out through all three workshop days, despite the fantastic weather.

A big thank you to our instructors Tim Elrick and Alex Miltsov as well as Caitrin Armstrong, Costin Ciobanu, Aengus Bridgman, and Sakeef Karim who helped make the event a success.

 

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