In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. [...]
Do you want to develop your R skills to advance your data science skills? R is a popular open-source statistical programming language that is popular in academia and industry. This workshop gently introduces users to intermediate level tools in R [...]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and [...]
Research Connect is hosting a webinar with a focus on Dementia Research, a topic important to many investigators, researcher teams and caregivers. Dr. Pamela Jarrett (MD FRCPC FACP Geriatrician, Horizon Health Network Associate Professor of Dalhousie Medicine New Brunswick) and [...]
Join Professor Karan Singh and the Innovations & Partnerships Office (IPO) for a candid discussion on bringing research to market. From accessing grants and getting industry pilots to creating an IP-based startup, the session will cover real-world best practices and [...]
Whetheryou are new to project management, have heard a few of the terms, or are aseasoned administrator looking to improve the ways you integrate your knowledgeand tools to help researchers, we have you covered! This workshop will include: • [...]
Are you curious about finding teaching materials to support student learning? Or perhaps you are interested in developing teaching materials that all students can access? Celebrate Open Education Week and learn how Open Educational Resources (OER) can be optimized for [...]
This session will provide participants with a foundational knowledge on how communication and language can create barriers to accessibility, and how to address these barriers. Participants will be (re-) introduced to AODA guidelines for accessible communication, language and terms that [...]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and [...]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. [...]