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Intermediate_shell/lessons/Intermediate_I_schedule.md

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+## Intermediate bash I
+
+| Audience | Computational skills required | Duration |
+:----------|:----------|:----------|
+| Biologists | [Beginner bash](https://hbctraining.github.io/Training-modules/Intro_shell/) | 2-3 hour workshop (~2-3 hours of trainer-led time) |
+
+
+### Description
+
+This repository has teaching materials for a **3 hour**, hands-on **Intermediate bash** workshop led at a relaxed pace. Many tools for the analysis of big data require knowledge of the command line, and this workshop will build on the basic skills taught in the **Introduction to the command-line interface** workshop to allow for greater automation using scripts. **Add more here**
+
+### Learning Objectives
+
+* Define what a variable is and store information using variables
+* Distinguish between variables and positional parameters
+* Create a script to run multiple commands as a single command
+* Implement loops, positional parameters and variables in a bash script
+* Run existing R and python scripts via the command-line
+
+> These materials are developed for a trainer-led workshop, but also amenable to self-guided learning.
+
+
+### Contents
+
+| Lessons            | Estimated Duration |
+|:------------------------|:----------|
+|[Setting up](https://hbctraining.github.io/Training-modules/Intermediate_shell/lessons/setting_up.html) | 15 min |
+|[Shell Scripts and `for` loops](https://hbctraining.github.io/Training-modules/Intermediate_shell/lessons/loops_and_scripts.html) | 75 min |
+|[Positional Parameters](https://hbctraining.github.io/Training-modules/Intermediate_shell/lessons/positional_params.html) | 45 min |
+|[Running R scripts and Python scripts undrafted]() |30 min |
+
+### Dataset
+
+[Introduction to Shell: Dataset](https://github.com/hbctraining/Training-modules/blob/master/Intro_shell/data/unix_lesson.zip?raw=true)
+
+### Installation Requirements
+
+***Mac users:***
+[R](https://cran.r-project.org/)
+
+
+***Windows users:***
+[GitBash](https://git-scm.com/download/win)
+[R](https://cran.r-project.org/)
+