PHY1610 Scientific Computing Lecture

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 [...]

EES1137: Lecture 8

UTSC: IC120

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. [...]

CRIS Connects: Intellectual Property Protection (Patents) – Feb. 5, 2024

The CRIS Connects (https://cris.utoronto.ca/rdfcohorts/crisconnects/) series provides targeted, real-time help from guest experts. These drop-in sessions are designed for you to come and ask our guest experts anything on their topic of expertise. Join other UofT community members and learn [...]

Research Days at UTSC – Day 1

Members of the U of T community, including graduate students, early career researchers (post docs, new faculty), established researchers, staff, librarians, who want to explore the research and publication process and tools that fit into their workflows are invited to [...]

What I Wish I Knew: Publishing your Second Book – Feb. 6, 2024

Are you thinking of writing your second book? The second monograph writing endeavour is unique and while you’ve gained skills and insight into the scholarly publishing process from your first book, understanding the distinctions with the second book project [...]

EES1137: Lecture 9

UTSC: AA207

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. [...]

PHY1610 Scientific Computing Lecture

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 [...]

Go to Top