rbtl - Research Beyond the Lab

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# rbtl - Research Beyond the Lab
## Welcome to the course!
### Lars Schöbitz
### 2022-04-28

---

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# .big[Welcome! 👋]

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# Goals for today

You...

...know a bit about me and I know a bit about you.

...know the learning outcomes and competencies you gain in this course.

...are aware of the tools that we use for this course.

...know where to find the link to the course website.

...understand the grading scheme for this course.

...are motivated to do your homework and come back next week.

---
.pull-left[
.large[**Lars Schöbitz**]

- Environmental Engineer  
- Open Science Specialist  
- Instructor for Data Science with R  
- Online: [@larnsce](https://twitter.com/larnsce)
]

.pull-right[
<img src="img/lars_schoebitz_profile_photo.jpg" width="70%" style="display: block; margin: auto;" />
]

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# .big[You, hands-up: 🤚]

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.big[Who has used **R** before? 🤚]

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.big[Who has used **any programming language** before? 🤚]

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.big[Who think they know what **version control software** is? 🤚]

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.big[Who has an account for **Slack**? 🤚]

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.big[Who has an account for **GitHub**? 🤚]

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.big[Who uses **macOS** as an operating system? 🤚]

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.big[Who uses **Microsoft Windows** as an operating system? 🤚]

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# .big[Learning outcomes]

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# Learning outcomes of this course

At the end of this course, students will be able to:

- practice Open Science principles and publish data projects reproducibly 
- work collaboratively with Git and GitHub
- understand the concept of Tidy Data
- conduct Exploratory Data Analysis
- help themselves and others in learning more about data science with R

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# .big[Toolbox 🧰]

---
# Toolbox

.pull-left[

# **Course work**

- Classroom
- Field work 
- Slack for support (not yet decided)
]

.pull-right[

# Data Science

**Programming**

- R
- RStudio (Cloud)
- tidyverse R Packages
- R Markdown

**Version control and Collaboration**

- Git
- GitHub

]

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.big[rbtl-fs22.github.io/website/ 🔖]

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# .big[Grading scheme]

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# Grading scheme - Summary

<table class="table" style="font-size: 45px; margin-left: auto; margin-right: auto;">
 <thead>
 <tr>
 <th style="text-align:left;"> type </th>
 <th style="text-align:right;"> points </th>
 </tr>
 </thead>
<tbody>
 <tr>
 <td style="text-align:left;"> homework </td>
 <td style="text-align:right;"> 20 </td>
 </tr>
 <tr>
 <td style="text-align:left;"> project </td>
 <td style="text-align:right;"> 30 </td>
 </tr>
 <tr>
 <td style="text-align:left;"> exam </td>
 <td style="text-align:right;"> 50 </td>
 </tr>
</tbody>
</table>

---
# Grading scheme - Homework

- 10 assignments, submitted weekly
- Assignment submitted in time: 2%
- Assignment submitted late: 1%
- Assignment not submitted: no progress

---
# Grading scheme - Group reserarch project

- 30% for final group project report, submitted in Week 15
    - 20% for technical parts of final report 
    - 10% for intellectual framing of the results
- All items that we grade will be communicated on the website

---
# Grading scheme - Exam

- 50% for end-of-semester Exam in Week 16
- Two hour programming exam
- Free use of course material and online material
- Tests for technical aspects taught during the course

---
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# .large[Why take this course?]

---
class: left
background-image: url(img/starwars-rey-rstats.png)
background-position: middle
background-size: contain

.footnote[Artwork from [@juliesquid](https://twitter.com/juliesquid) for [@openscapes](https://twitter.com/openscapes) (illustrated by [@allison_horst](https://twitter.com/allison_horst)).]

???

- Welcome to rbtl

- Using open-source (free) tools, you will learn how to gather data, intrepret results, and clearly communicate findings.

- You will learn how to make sense of different kinds of data, how to tell whether something is probably true or not.

- You will learn how to manage your data and a little bit of statistics and some basic programming skills,

- but more importantly, you will know how to apply all that to real-world problems in academia, business and society.

---
class: middle, inverse

# .big[Awesome things you can do with R]
 
---
.panelset[

.panel[.panel-name[Slides]

These slides are made with R. They can include:

- Code
- Its output
- Interactive output

]

.panel[.panel-name[Code]

```r
ggplot(data = penguins, 
 mapping = aes(x = bill_depth_mm, 
 y = bill_length_mm,
 colour = species)) +
 geom_point() +
 labs(title = "Bill depth and length",
 subtitle = "Dimensions for Adelie, Chinstrap, and Gentoo Penguins",
 x = "Bill depth (mm)", 
 y = "Bill length (mm)",
 colour = "Species") 
```
]
.panel[.panel-name[Code output]
<img src="pt2-d01-welcome_files/figure-html/unnamed-chunk-5-1.png" width="90%" style="display: block; margin: auto;" />
]

.panel[.panel-name[Interactive output]
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]
]

???
These slides are made in R. I can include code and it's output.

---
background-image: url(https://timogrossenbacher.ch/wp-content/uploads/2016/12/tm-final-map-1-1.png)
background-position: middle
background-size: contain

.footnote[From: [Timo Grossenbacher: Bivariate maps with ggplot2 and sf](https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/)]

---
background-image: url(img/course-web.png)
background-size: contain

.footnote[
From: https://rbtl-fs22.github.io/website/
]

???
Websites. The website I designed for this course is made with R. Once you know the basics of how to work with one R, then you can do this in no longer than 30 minutes.

---
background-image: url(img/r_rollercoaster.png)
background-size: contain

.footnote[Artwork by [@allison_horst](https://twitter.com/allison_horst)]

---
background-image: url(img/inclusion.jpg)
background-size: contain
background-position: right

# Code of Conduct

- ETH - The Respect Code of Conduct: respekt.ethz.ch/
- Diversity and inclusion
- Names and pronouns
- Inappropriate behaviour
- Learning process

.footnote[Photo by: [Sharon McCutcheon](https://unsplash.com/@sharonmccutcheon)]

---
class: center, middle

# Thanks! 🌻

Slides created via the R packages:

[**xaringan**](https://github.com/yihui/xaringan) 
[gadenbuie/xaringanthemer](https://github.com/gadenbuie/xaringanthemer)

The chakra comes from [remark.js](https://remarkjs.com), [**knitr**](http://yihui.name/knitr), and [R Markdown](https://rmarkdown.rstudio.com).

Access slides as [PDF on GitHub](https://github.com/rbtl-fs22/website/blob/main/slides/pt2-d01-welcome/pt2-d01-welcome.pdf)

All material is licensed under [Creative Commons Attribution Share Alike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/).