Overview
This in-person summer school is offered by SFU’s 
Research Computing Group
 on behalf of the 
Digital Research Alliance of Canada
. It is hosted by 
SFU’s Big Data Hub
 and is open to all researchers at SFU and other Canadian post-secondary institutions.
Each day we will have morning (9:30am - 12:30pm) and afternoon (1:30m - 4:30pm) sessions. You can attend as many or as few of the courses as you want. All sessions will be in-person at the Big Data Hub at SFU’s main (Burnaby) campus, in the Applied Sciences Building (top floor). To participate in the hands-on exercises, you will need to bring your own laptop. We will provide guest accounts on our HPC training cluster. For more specific requirements, please see the individual course pages.
*Please note that tickets are non-refundable (full refunds issued if course is cancelled)
What You Will Learn
This year's program offers a hands-on introduction to essential tools and concepts in modern scientific computing and data-intensive research, with an emphasis on efficient, reproducible, and scalable workflows. Through a combination of guided instruction and practical sessions, attendees will develop the skills needed to navigate computational environments, manage and optimize research code, and harness the power of high-performance computing.
Course Syllabus
Monday, June 9:
9:30 am - 4:30 pm - 
Unix Shell
Tuesday, June 10:
9:30 am - 4:30 pm - 
High Performance Computing
Wednesday, June 11:
9:30 am - 12:30 pm - 
Version Control with Git
1:30pm - 4:30pm - 
R optimizations
Thursday, June 12:
9:30 am - 12:30 pm - 
Hands-On Git
1:30 pm - 4:30 pm - 
Parallel Programming
Friday, June 13:
9:30 am - 4:30 pm - 
Accelerated Python
Times are in PDT
Instructors
Alex Razoumov
Research Solutions Lead, SFU's Research Computing Group
Marie-Hélène Burle
Research Solutions Specialist,
 
SFU's Research Computing Group
Why Choose SFU?
Taught By Leading Experts
Our instructors, who have decades of experience in both development and state-of-the-art research, will teach you in-demand skills, approaches, concepts and tools.
Experiential Learning
Gain hands-on experience working on complex problems, ensuring the knowledge you gained in this course can be directly applied to the real-world.
Get Real-Time Feedback
This interactive course is taught in person, enabling real-time feedback and encouraging you to build connections with your peers.
Prerequisites
Please visit the 
program page
 to review prerequisites for each session.
Questions?
Please contact sfu_bigdata@sfu.ca if you have any questions.
Information Source: SFU's Big Data Hub | eventbrite

Greater Vancouver

Canada

Burnaby

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SFU Research Computing Summer School 2025 | Simon Fraser University's Big Data Hub, Applied Science Building - Room 10900 (Presentation Studio)

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