Readings "Passive" learning opportunities

This page collects together all of the “readings” associated with individual modules.

In this site, readings represent “passive” learning opportunities, as opposed to experiences, which represent “active” learning opportunities. In many courses, readings and experiences together constitute the “assignments”.

Module: Introduction to HI-DSI Data Fellows

HI-DSI Code of Conduct

We are dedicated to providing a welcoming and supportive environment for all people, regardless of background or identity.

Data Fellows Program Schedule 2023-2024

Description of the meetings and agenda for Academic Year 2023-2024

HI-DSI Data Fellows Expectations

Expectations and responsibilities for Data Fellows during their appointment.

Module: Python and Jupyter

Python Home Page

Python site, with links for installation, documentation, and usage.

Jupyter Home Page

Jupyter site, with links for installation, documentation, and usage for Jupyter Notebook and JupyterLab.

Module: Design and Implementation of Workshops

Get ready for the Morea Workshop

Join GitHub

Morea Reference Guide

Documentation on the Morea System

Workshop Design Checklist

Heuristics for high quality workshop designs

Module: How to create a professional portfolio

Gather portfolio materials

Get ready for the Techfolios workshop

TechFolios Reference Guide

Documentation on TechFolios

Module: Scientific Software Basics

HI-DSI Code of Conduct

We are dedicated to providing a welcoming and supportive environment for all people, regardless of background or identity.

Setting Up Koa

Create accounts on Koa, download sample file.

Module: High Performance Computing

HI-DSI Code of Conduct

We are dedicated to providing a welcoming and supportive environment for all people, regardless of background or identity.

Preparation

A few things to check prior to this workshop

Module: Data Movement

Preparation

A few things to check prior to this workshop.

Install RClone

Installing RClone on your local machine

Scientific Data Transfer Examples

Be able to identify real world examples of data transfer issues that can be fixed.

File Transfers with Remote Computers

Understand how to transfer files using wget, scp, and rsync.

Module: Data Wrangling, Part 1

Workshop Setup

How to prepare for this workshop

Module: Data Wrangling, Part 2

Workshop Setup

How to prepare for this workshop

Module: Exploratory Time Series Analysis in R

Preparations

A few things to complete prior to this workshop

Preparations

An overview of his workshop

Module: Machine Learning Approaches in Climate Science

Preparation

A few things to check prior to this workshop

Module: Smart Data Collection for Sensor Networks

Preparation

Check that you can access the resources for this workshop