Researchers can leverage high performance computing (HPC) to pose and probe unique and interesting questions. In order to answer those questions, they need some ability to extract meaning from the data they generate. Data science has recently risen to prominence for its abilities not only to extract this meaning, but also to turn that meaning into actionable, data-driven predictions. Combining HPC and data science can allow a researcher to more easily ask questions and discover answers leading to even deeper questions.
However, despite these benefits, it can be difficult for full-time researchers to learn an emerging field with no guidance while still producing research.
To reduce this barrier, the Scientific Computing Student Club (SC2) presents the HPC and Data Science Workshop Series. For eight weeks in the Fall semester, we will meet once a week to discuss HPC and Data Science topics, focusing on how elements of HPC and data science can reinforce research and discovery. There will be no one instructor for this workshop; instead we will have guest speakers from SC2, ARC-TS, MICDE, and even MathWorks (MATLAB). Attendance at all workshops is encouraged, but not required. The planned syllabus is below.
Everyone is welcome to join at any time, but be prepared to actively participate.