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program.qmd
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---
title: "Program"
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---
We will be covering a number of topics in R programming with focus on R features helpful in bioinformatics and computational biology data analyses workflow:
- Reproducible research in R (Quarto, Rmarkdown, Knitr)
- Collaborative work using Git and GitHub, CD/CI
- R code style guide & best practices
- Code debugging, optimization and profiling
- Parallelisation and vectorization in R
- Writing own functions
- Understanding and using the system of R classes: S3, S4, R6 and RC
- Anatomy of an R package: writing your own package from scratch
- Tidy data flow with tidyverse
- Using the language of graphics, ggplot2
- Developing simple web applications using shiny
- R and Python integration using reticulate
- Streamlined modelling using tidymodels
- Team project work - developing data analyses workflow in R using acquired skills
Course materials will be made available at the beginning of the course and will remain open and publicly accessible online for at least a year.
## Invited speakers
::: {.guests-parent}
::: {.guests-child}
[Jenny Bryan](https://jennybryan.org/)
Software engineer at Posit, Data science professor at UBC.
:::
::: {.guests-child}
[Max Kuhn](https://www.linkedin.com/in/max-kuhn-864a9110/)
Software engineer at Posit
:::
::: {.guests-child}
[Yihui Xie](https://yihui.name/en/about/)
Software engineer at Posit
:::
::: {.guests-child}
[Christophe Dervieux](https://github.com/cderv)
Software engineer at Posit
:::
:::
## Schedule
The morning session begins every day at 08:30 until 12:30 with breakfast at 08:30 to 09:00 and 30 min break at 10:30. The lunch break is 12:30 to 13:30. The afternoon session runs from 13:30 till 17:00 with a 30 min coffee break at 15:00.
Note! Due to time differences, guest lectures may happen later in the evening (after 17:00).