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 […]
Are you interested in sharing your data with other researchers? Has a journal or funder asked you to share your data? Would you like to house your research team’s data in one place? In this session, participants will learn how to organize and publish research data in the University of Toronto Dataverse, U of T’s […]
The Franklin Lecture returns with Dr Charlton McIlwain's talk Black Software: Retrospect to Prospect. Book signing and reception to follow. About this event Black Software showcases computing technology's origin story amidst the turbulent racial confrontations of the 1960s, connecting it to the rise of the Black internet who helped to birth the Internet as we […]
Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.Format: In person, but also broadcast and recorded.
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 students. […]
“TheNeed for Caring in and around Organizations” with Professor Alan Saks Does yourorganization care about its employees? Do you care about your organization?These are questions that all employees should be asking themselves today.Caring for employees has become more important than ever as the consequences ofnot caring for employees became especially evident over the last two years. […]
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 […]
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 session introduces tools, techniques and best practices of 3D printing, including the basics of 3D printing, an introduction to the MADLab space, and the models of 3D printers available for use. Instructors will demonstrate how to safely use the service and the machines from start to finish, as well as how to find and […]
Do you need help deciding if a partnership is the best next step for your research program? Are you ready to formalize an informal partnership but need some guidance on how to accomplish this? Join the Jackman Humanities Institute (JHI) on April 11th from 1:00pm - 2:30pm for an interactive workshop session for faculty members […]
