SFU Research Computing Summer School 2025
This year's program offers a hands-on introduction to essential tools and concepts in modern scientific computing & data-intensive research.
Location
Simon Fraser University's Big Data Hub, Applied Science Building - Room 10900 (Presentation Studio)
8888 University Drive Burnaby, BC V5A 1S6 CanadaRefund Policy
About this event
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 [email protected] if you have any questions.