2023 Training Schedule

Schedule for synchronous training and suggestions for asynchronous study

Pre-workshop

We will be using R 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 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:

Go to The Multilingual Quantitative Biologist, and read+work through the Biological Computing in R Chapter up to the section on Writing R code. Of course, keep going if you want (although we will cover some similar materials here).
Review background on introductory probability and statistics (solutions to exercises)

Once you have completed the pre-work and set-up tasks, you should get yourself familiar with the VectorByte Training materials.

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

17th July 2023

Time	Activity	Materials
	Arrival

18th July 2023 (08:30 - 17:00)

Time	Activity	Materials
08:30	Course overview
09:00	Intro to traits	Slides; Paper
10:30	Break
11:00	Intro to the VecTraits database	VecTraits; API
12:00	Lunch
13:00	Tutorial: Data wrangling and visualizing data	Data wrangling
15:00	Break
15:30	Statistical Analyses I: Linear models	Linear models

19th July 2023 (08:30 - 17:00)

Time	Activity	Materials
08:30	Q & A
09:00	Allometric analysis using LMs	Linear models
10:30	Break
11:00	Linear vs. Nonlinear models	Practical
12:00	Lunch
13:00	Intro to Bayes	Lecture; Practical 1
14:00	Break
14:15	Bayesian computation and MCMC	Lecture; Practical 2
15:15	Break
15:30	Fitting TPCs with `bayesTPC`	Practical; Data
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!