announcement.Rmd

---
title: ""
output: pdf_document
date: "`r Sys.Date()`"
#fontfamily: arial
fontsize: 12pt
#header-includes:
#  - \usepackage{titling}
#  - \pretitle{\begin{flushleft}}
#  - \posttitle{\end{flushleft}}
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# \textcolor{blue}{Good coding practices}
## TESA Webinar
## DATE: November 2022, TBD. 2 hours.
## Virtual: Microsoft Teams
### Chris Grandin and Andrew Edwards (Pacific Region)

\

Conducting modern stock assessments requires writing a lot of computer code. However, stock assessment scientists often lack formal training in this area. We will cover some general computational tips, rules of thumb, and recommendations. Given the language R is the language of choice for assessment scientists, we will also focus on specific problems in R, including a live debugging session and time for general questions.

The outline of the session is:

- 45 min talk, including real-time examples
- 10 min of questions arising from the talk
- 5 min break
- live example of debugging
- other general questions from the audience (along the lines of “the one thing that continually messes me up is …, what should I do?”).