Upcoming NAISS courses¶
NAISS offers a wide range of courses, workshops and seminars that are free to all users. Training is provided by staff from NAISS branches across Sweden.
Training events and courses open for registration¶
For more information and registration, please click the titles below to go to the hosting branch event pages. This list is updated frequently.
| Date | Course | Location | Info |
|---|---|---|---|
| 12 - 13 October | Basic Singularity/Apptainer workshop | online | Introduction to the basic concepts of containerized software environment solutions within the Singularity framework |
| 19 - 22 October | Introduction to R, MATLAB, and Julia in HPC | online | Learn how to run R, Matlab, and Julia at Swedish HPC centres. We will show you how to find and load the needed modules, how to write a batch script, as well as how to install and use your own packages, and more. |
| 9 - 13 November | Introduction to Git | online | This is an introduction to version control, with a strong focus on Git. Some of the main concepts, like repositories, commits, trees, branches, and merges will be covered, as will many of the basic commands, like clone, add, push, pull, commit, and fork. |
| 16 - 20 November | Using Python in an HPC environment | online | This online 5-day workshop aims to give a brief, but comprehensive introduction to using Python in a Swedish academic High-Performance Computing (HPC) environment. It covers a wide range of levels in using Python and you can decide which days to follow. |
| 2 - 4 December | NAISS Introduction training days | online | Aimed at new users, covering: Linux, connecting, file transfer, software use and batchsystems |
| 8 - 9 December | ML for Scientific Data: From Classical ML to Deep Learning | online | Learn the fundamentals of machine learning using real-world scientific datasets: eye-tracking recordings and microscopy images. This course covers classical ML (feature extraction, Random Forests) and deep learning (CNNs for image segmentation and classification), and shows you how to run ML jobs on an HPC cluster |
| 10 December | Running Deep Learning Workloads on NAISS Systems | online | Focuses on what is different for running Deep Learning frameworks such as PyTorch and TensorFlow on HPC clusters and how to get the best performance. |
CodeRefinery¶
NAISS is actively participating in the CodeRefinery training network. The network teaches all the essential tools which are usually skipped in academic education so everyone can make full use of software, computing, and data with focus on reusability, reproducibility, and openness. The standard tools workshop is well known in Nordic academic circles.
| Date | Workshop | Location | Info |
|---|---|---|---|
| 22 - 24 September | CodeRefinery tools workshop | online | Intro to git and collaborative git, on GitHub |
| 29 September - 1 October | CodeRefinery tools workshop | online | Reproducible research, Social Coding, AI Assisted Research Software Development, tools for documentation and testing, and modular code development |
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