tu-coding-outreach-group / cog_summer_workshops_2022

COG Summer Workshops 2022

The Coding Outreach Group (COG) weekly summer workshops focus on a specific research skill or topic and aim to have participants actively involved. These workshops try to be as hands-on as possible and for attendees to get the most out of the workshops, they should ideally already have some basic coding experience (i.e., be able to run an analysis in at least one coding language). Some topics may look familiar from previous years (2021 and 2020), however, we have recruited new presenters for these repeated topics, who will provide their unique point of view and methodology. People new to coding are welcome to attend but may not receive the adequate help needed to follow along with the content. If you would like to learn some basic coding, we have a list of tutorials for various programming languages.

Agenda

Workshops are on Wednesdays in June and July from 1:30pm to 3:00pm

Date	Workshop	Presenter
6/1	Git/GitHub Pages	Katie Jobson
6/8	Data Wrangling in R	Ginny Ulichney
6/15	Data Visualization in R	Billy Mitchell
6/22	Neuroimaging in Python	Kim Nguyen
6/29	Psychopy	Elizabeth Beard
7/13	Representational Similarity Analysis	Büşra Tanrıverdi
7/20	Natural Language Processing	Celia Litovsty
8/3	Rescheduled Javascript Integration with Qualtrics	V.S. Vaidyanathan

Getting Started

Each workshop will list the necessary pre-requesites in their respective README.md files, but here is some software we recommend you install before the workshops:

• A command-line shell (i.e. Bash)
• A text editor you're comfortable with (Atom, VSCode, etc.)
• Jupyter notebook, also available through Anaconda
• Git and create a GitHub account
• R and RStudio

For PC users, you can set up the bash command line and git by installing this program.

Acknowledgements

Workshop Organizers: Elizabeth Beard, Katie Jobson, Billy Mitchell, Haroon Popal

This workshop series was supported by the Department of Psychology and Neuroscience at Temple University. Special thanks to the department chair, Dr. Peter Marshall, for his help in securing financial support, and contiuous efforts in promoting, advertising, and advocating for our group.

cog_summer_workshops_2022's Issues

github - Definition Diagram

Might be helpful to have some diagrams about branches, forks, etc. We might be able to steal these diagrams from Michelle Chui's workshops.

github - Setting up GitHub Pages

I think some more detail should be included in the setting up GitHub Pages part. I believe people will need to select a branch and then save something right? This is after the choosing a theme section.

data wrangling - piping breakdown

I think we should explain piping a bit more. I liked Billy's example where he wrote a simple nested function and then showed how it would be down with piping. Kind of like exercise one, but maybe it will be helpful to include a simple one in the beginning with simple math (e.g. take the square root, then plot in a histogram).

all - example output

All exercises should have an example output. We can import images below the exercise so that when people plot their answers, they can check it with the example output. The output could also be a cartoonish style (I think it is called xlrd or something).

rsa - add task example

Add a picture depicting the task with the four-by-four grid that happens during encoding.

data wranging - rjava install issue

User was unable to install rjava. Something about couldn't find java home? They were using a PC.

github - Unable to fetch

During the tutorial, we were unable to fetch and were getting errors about creating the new branches.

javascript and qualtrics - Add links to javascript resources to repo

Copy links from last slide of the outro to the additional resources section on the workshop readme.

main - fetching each week

We should have fetching instructions on each week or the main github page so that people are getting the most updated workshop materials

rsa - lower matrix versus full clarification

Might be good to include this discussion about how it doesn't matter for your data if you are using or visualizing the entire matrix versus a triangle. But for other people's data this would be important to note if they are doing any second-order similarity analyses (between RDMs/RSMs).

data-visualization - transformr java issue

We should add some info in the prereqs or something about needing to update java so that the transformr package works.