An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for […]
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 […]
Interested in learning Stata? Need to use Stata for your research or for job prospects? Stata is a data science software that is commonly used in academia and in research organizations. Get started learning Stata with this gentle hands-on workshop. You will learn how to import, explore and manipulate data using Stata. No coding experience […]
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 […]
Creating and maintaining a well-funded and stable research program providing reliable funding for labs, Highly Qualified Personnel (HQP), and staff is a perennial challenge for faculty researchers. Join this panel discussion to explore funding options involving private/public sector partners, government funding agencies, and aggregation sites where companies with specific needs meet academic researchers to resolve […]
An overview of GPUs and their use in supercomputers. This workshop will explain what GPUs are, and cover the basic ideas of GPU use in scientific computing. We will introduce several GPU programming frameworks, and demonstrate how to accelerate a solution of a science problem using a GPU. Python or C++ could be used for […]
Canada is a leader in innovation, research and development, thanks to the research community’s commitment to open science and international collaboration. However, this strength also makes Canadian research an attractive target for malicious actors. The transfer of our cutting-edge research can result in: Damage to the integrity of Canadian academic and research institutions Advancements in […]
Managing research data is a key component of any research project, and - when done right - can save you time and effort. In this session, participants will learn about current requirements and best practices for managing research data at all stages of a research project. Topics covered include: Journal and funder requirements Data management […]
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 […]
