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. Successful students will learn how to use statistical inference tools to gain insight into large […]
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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
Qualitative research involves working with qualitative data sources, such as interview transcripts, reports, photos, and diaries. NVivo is a data management and analysis tool that helps work with these types of materials. This 2.5-hr workshop will provide an introduction to using NVivo 12 for Windows. Through a combination of lecture and hands-on activities, participants will […]
In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is designed for students with little to no experience in programming. This is a graduate course that can be taken for credit by UofT Biochemistry graduate […]
The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.
Hosted by the Gerstein 3D Printing Service at the MADLab, this event dives into the exciting space of 3D printing in the health sciences. U of T startup Anatomiz3D founder Firoza Kothari will share examples of innovative use cases and emerging trends for rapid prototyping solutions for healthcare. Participants will get a tour of the […]
In-Person Location: Robarts Library, 5th Floor, Room 5-053 (directly across from the elevator). Map & Data Library Computer Lab Text analysis is a range of techniques for working with large numbers of texts for exploration, analysis, and visualization. This workshop will introduce you to ProQuest TDM Studio Workbench, an online tool for performing text analysis […]
Research Connect is delighted to dedicate a webinar to one of the most extraordinary research areas of our time “Repetitive Transcranial Magnetic Stimulation (rTMS)”. Professor Paul Fitzgerald, a global expert on rTMS from Australia, will be joining us as a special guest speaker. We are also thrilled to have Dr. Daphne Voineskos as an expert […]
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. Successful students will learn how to use statistical inference tools to gain insight into large […]
In this workshop, participants will learn about various types of spatial data (vector, raster and tabular), the basic ArcGIS Online tools required to load, manipulate and visualize spatial data, and to export results into a web map and to import these results in ArcGIS StoryMaps.
