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---
title: "2023 Training Schedule"
description: "Schedule for synchronous training and suggestions for asynchronous study"
format:
html:
toc: true
toc-location: left
html-math-method: katex
css: styles.css
---
[Main materials](materials.qmd)
# Pre-workshop
We will be using [`R`](https://cran.r-project.org/) for all data manipulation and analyses/model fitting. Any operating system (Windows, Mac, Linux) will do, as long as you have `R` (version 3.6 or higher) installed.
You may use any IDE/ GUI for `R` (VScode, RStudio, Emacs, etc). For most people, [`RStudio`](https://www.rstudio.com/) is a good option. Whichever one you decide to use, please make sure it is installed and test it before the workshop. We will have a channel on Slack dedicated to software/hardware issues and troubleshooting.
We will also be using Slack for additional support during the training. Please have these installed in advance. We are assuming familiarity with `R` basics. In addition, we recommend that you do the following:
1. Go to [The Multilingual Quantitative Biologist](https://mhasoba.github.io/TheMulQuaBio/intro.html), and read+work through the [Biological Computing in R Chapter](https://mhasoba.github.io/TheMulQuaBio/notebooks/07-R.html) up to the section on Writing `R` code. Of course, keep going if you want (although we will cover some similar materials here).
2. Review background on [introductory probability and statistics](Stats_review.qmd) ([solutions to exercises](Stats_review_soln.qmd))
Once you have completed the pre-work and set-up tasks, you should get yourself familiar with the [VectorByte Training materials](materials.html).
Although there will be input at the start of most sessions, much of the synchronous time is planned to be dedicated to helping you work through exercises and activities
<br> <br> <br>
# 17th July 2023
| Time | Activity | Materials |
|------|----------|-----------|
| | Arrival | |
<br> <br> <br>
# 18th July 2023 (08:30 - 17:00)
| Time | Activity | Materials |
|-------|-----------------------------------------------|--------------------------------------------------------------------|
| 08:30 | Course overview | |
| 09:00 | Intro to traits | [Slides](intro_to_traits.pdf); [Paper](Cator2020.pdf) |
| 10:30 | Break | |
| 11:00 | Intro to the VecTraits database | [VecTraits](https://tinyurl.com/mu8awx57); [API](Intro_to_API.qmd) |
| 12:00 | Lunch | |
| 13:00 | Tutorial: Data wrangling and visualizing data | [Data wrangling](data_wrangling.qmd) |
| 15:00 | Break | |
| 15:30 | Statistical Analyses I: Linear models | [Linear models](linear_mod_activity.qmd) |
<br> <br> <br>
# 19th July 2023 (08:30 - 17:00)
| Time | Activity | Materials |
|-------|-------------------------------|----------------------------------------------------------------------|
| 08:30 | Q & A | |
| 09:00 | Allometric analysis using LMs | [Linear models](linear_mod_activity.qmd) |
| 10:30 | Break | |
| 11:00 | Linear vs. Nonlinear models | [Practical](VB_NLLS_activity.qmd) |
| 12:00 | Lunch | |
| 13:00 | Intro to Bayes | [Lecture](VB_Bayes1.qmd); [Practical 1](VB_Bayes_activity1.qmd) |
| 14:00 | Break | |
| 14:15 | Bayesian computation and MCMC | [Lecture](VB_Bayes2.qmd); [Practical 2](VB_Bayes_activity2.Qmd) |
| 15:15 | Break | |
| 15:30 | Fitting TPCs with `bayesTPC` | [Practical](VB_Bayes_activity2B.qmd); [Data](AeaegyptiTraitData.csv) |
| 16:30 | Choose projects | |
# 20th July 2023 (10:00 - 1:00)
| Time | Activity | Materials |
|-------|-----------------------------------|-----------|
| 8:30 | Q & A | |
| 9:00 | Work on analysis | |
| 10:30 | Break | |
| 11:00 | Work on analysis | |
| 12:00 | Lunch | |
| 13:00 | Continue analysis/present project | |
| 15:00 | Break | |
| 15:30 | Presentations | |
| 16:30 | Discussion & Wrap-up | |
# 21st July 2023
| Time | Activity | Materials |
|------|----------|-----------|
| | Travel | |
# Post-workshop
Enjoy using these new techniques and databases!
<br> <br> <br>