SFU Research Computing Summer School 2026

SFU's Big Data Hub

This year's program offers a hands-on introduction to essential tools and concepts in modern scientific computing & data-intensive research.

SFU's Big Data Hub, Applied Sciences Building - Room ASB 10900 (Presentation Studio)

<h2>Overview</h2>This in-person summer school is offered by SFU’s <a href="https://www.rcg.sfu.ca/" title="https://www.rcg.sfu.ca/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Research Computing Group</a> on behalf of the <a href="https://alliancecan.ca/" title="https://alliancecan.ca/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Digital Research Alliance of Canada</a>. It is hosted by <a href="https://www.sfu.ca/big-data.html" title="https://www.sfu.ca/big-data.html" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">SFU’s Big Data Hub</a> and is open to all researchers at SFU and other Canadian post-secondary institutions.Each day we will have morning (9:30 or 10am – 12:30pm) and afternoon (1:30m – 4:30pm) sessions, with a visit of the Fir supercomputer on Tuesday starting at 8:30am.You can register for the full program for $50, or choose specific days at $15 per day. All sessions will be in-person at SFU Burnaby campus, in SFU’s Big Data Hub Presentation Studio (Applied Sciences Building, ASB 10900).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) <h2>What You Will Learn</h2>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. <h2>Course Syllabus</h2> Monday, June 1:<ul><li>9:30 am - 12:30 pm - <a href="https://sfu26.netlify.app/bash" title="https://sfu26.netlify.app/bash" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Unix Shell</a></li><li>1:30 pm - 4:30 pm - <a href="https://sfu26.netlify.app/hpc" title="https://sfu26.netlify.app/hpc" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">HPC</a></li></ul>Tuesday, June 2:<ul><li>8:30 am - 10:00 am - <a href="https://sfu26.netlify.app/tour" title="https://sfu26.netlify.app/tour" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Fir Tour</a></li><li>10:00 am - 4:30 pm - <a href="https://sfu26.netlify.app/hpc" title="https://sfu26.netlify.app/hpc" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">High Performance Computing</a></li></ul>Wednesday, June 3:<ul><li>9:30 am - 12:30 pm - <a href="https://sfu26.netlify.app/git" title="https://sfu26.netlify.app/git" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Version Control with Git</a></li><li>1:30pm - 4:30pm - <a href="https://sfu26.netlify.app/r" title="https://sfu26.netlify.app/r" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">R optimizations</a></li></ul>Thursday, June 4:<ul><li>9:30 am - 12:30 pm - <a href="https://sfu26.netlify.app/polars" title="https://sfu26.netlify.app/polars" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Python Polars</a></li><li>1:30 pm - 4:30 pm - <a href="https://sfu26.netlify.app/chapel" title="https://sfu26.netlify.app/chapel" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Parallel Programming</a></li></ul>Friday, June 5:<ul><li>9:30 am - 4:30 pm - <a href="https://sfu26.netlify.app/python" title="https://sfu26.netlify.app/python" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Accelerated Python</a></li></ul> Times are in PT <h2> </h2><h2>Instructors</h2>Alex RazoumovResearch Solutions Lead, SFU's Research Computing GroupMarie-Hélène BurleResearch Solutions Specialist, SFU's Research Computing Group<h2> </h2><h2> </h2><h2>Why Choose SFU?</h2>Taught By Leading ExpertsOur 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 LearningGain 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 FeedbackThis interactive course is taught in person, enabling real-time feedback and encouraging you to build connections with your peers.

<h2>Prerequisites</h2>Please visit the <a href="https://sfu25.netlify.app/" title="https://sfu25.netlify.app/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">program page</a> to review prerequisites for each session.<h2> </h2><h2>Questions?</h2>Please contact sfu_bigdata@sfu.ca if you have any questions.

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SFU Research Computing Summer School 2026

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SFU Research Computing Summer School 2026

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