Profile and Parallelize Area-Under-the-Curve is due
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.
19 events found.
EES1137 Lecture 23
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 […]
Scientific Computing Lecture (2023)
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 […]
Depositing Research Data in U of T Dataverse (Borealis)
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 […]
Franklin Lecture: Dr. Charlton McIlwain
Innis Town Hall Theatre 2 Sussex Avenue, Toronto, Ontario, CanadaThe 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 […]
Profile and Parallelize Area-Under-the-Curve is due to be graded
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.
BCH2202 – Lecture 9
SciNet Teaching RoomIn 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. […]
UTSC OVPRI Research Excellence Lecture Series – with Professor Alan Saks – Apr. 05, 2023
“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. […]
Scientific Computing (2023)
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 […]
EES1137 Lecture 24
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 […]
Gerstein + MADLab 3D Printing Safety Training
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 […]
Taking it to the next level: Partnership Pathways for the Humanities & Social Sciences – Apr. 11, 2023
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 […]
BCH2202 – Lecture 10
SciNet Teaching RoomIn 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. […]
Intro to SciNet, Niagara and Mist
SciNet Teaching RoomIn about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: In-person, as well as broadcast and recorded.
SciNet User Group Meeting
SciNet BoardroomThe 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.
2023 STAR Workshop # 3 – DiscoverResearch — U of T’s New Expertise Discovery Tool – Apr. 13, 2023
At the University of Toronto, our facultyconduct research that has impacts across a broad range of disciplines. DiscoverResearch (https://discover.research.utoronto.ca/)is a new online tool to highlight, celebrate and promote ourscholars and research experts to help spark discovery, connection, andcollaboration. Join us for ademo of DiscoverResearch (https://discover.research.utoronto.ca/)and a discussion of how this can benefit divisional anddepartmental research and innovation […]
Bibliometrics Basics – What a Researcher Needs to Know – Apr. 14, 2023
The Centre for Research & Innovation Support (CRIS), in collaboration with the University of Toronto Libraries (UTL) is hosting a 90-minute webinar on Bibliometrics. This session will introduce participants to Bibliometrics and altmetrics that can be used to measure a broad range of scholarly impact. Through the use of case studies, the session will provide […]
CBRCanada Community of Practice – “Research Ethics on Sensitive Topics”
Community of practice meetings actively bring together CBRCanada members from across Canada and beyond to engage in meaningful discussions. All involved in community-based research are welcome, whether you are a researcher, peer-researcher, student, project coordinator, administrator, director, or community leader. The purpose of the community of practice is to network with others, learn from each […]
PRiME April Research Rounds – Apr. 14, 2023
Name: Leslie Dan Faculty of Pharmacy Building - Room 850 Address: 144 College St, Room 850 Toronto ON M5S 3M2Monthly research seminar to the PRiME community. Speakers:Dr. Leonardo SalmenaAssociate ProfessorDepartment of Pharmacology & ToxicologySarah Shawky2022 PRiME Fellow, PhD CandidateCo-PIs Drs. Carolyn Cummins and Milica Radisic
