HPC-Launch
Content
A 1-day course to support the launch (and/or reconfiguration) of health data projects from an efficient and modern computing and data management perspective
Targeting trainees and researchers in bioinformatics and large-scale health records, the course will consist of two modules: High-Performance Computing (HPC) and Research Data management (RDM). With the HPC module, we want to expand understanding and efficient use of HPC resources for complex health data science projects. We will fill gaps in technical understanding for beginner to intermediate users of supercomputing platforms and share up-to-date information on computing resources available to Danish researchers and how to get access.
HPC-Launch is the first course of a series we are developing to elevate practical technical skills in health data science, and is the intended prerequisite for HPC-Pipes (focused on environment management and bioinformatics pipeline languages) and/or HPC-ML (focused on set-up and optimization of large-scale machine learning projects on HPC platforms).
Learning Outcomes
A student who has met the objectives of the course will:
- Understand the overview of current best computing practices for management of health data analysis projects
- Have the ability to handle large datasets
- Be able to conduct sophisticated analyses of biodata
- Be able to preserve data and analyses for future projects and project members
Requirements
The workshop is for researchers, professors, and PhD students at SUND who seek to acquire skills in effectively managing data and computing projects.
- The course is targeted to students performing data analysis on biological research or within the field of data science, therefore some computational experience is required, and basic knowledge of R/Python and bash is highly recommended for the demo session.