Training Levels

This page lists a structured training program for computational scientists. The goals are:

• Gamify learning. Provide some psycological rewards.
• Make it clear what courses are at what level, and what levels are useful for each person.
• Provide more tangible benefits for education (e.g. group leader sees value in reaching a level)

There are four core levels providing core skills which almost everyone should know (A-D, come up with better names). Then, there are "electives" which are at each level, which each person can need.

Class A (basic local resources)

• Example from Aalto
  • Aalto managed computer basics. Installing own packages
  • Data storage locations and policies. Basic data management.
  • Remote access, remote data access
  • How to get support, where, etc.

Class B (using Linux somewhat well)

• Files, dirs, permissions, filesystems,
• Shell use (shells, tab completion, paths, programs, environment, etc)
• Shell scripting
• Version control Electives:
• Jupyter notebooks

SW dev track:

• Modular code development
• SW testing

Other options include Python, R, data analysis, etc.

Class C (using HPC for research)

This is basically Science-IT summer kickstart

• Slurm
• Modules and software
• Storage

Class D (advanced HPC use and development)

All electives. Typical Science-IT monthly talks

• GPU computing
• parallel programming