This session focuses on accessible content creation practices. Techniques for conceptualizing, creating and maintaining accessible documents will be discussed and how to build these into department wide processes. A heavy emphasis is placed on why those techniques are important, 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. [...]
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 [...]
This session is hosted by the Office of Research Services of the Faculty of Arts & Science (A&S) and the Innovations and Partnerships Office (IPO) to introduce their recently released Guide to Industry Partnerships and to offer A&S faculty members [...]