The Coding Outreach Group (COG) is a student-led organization aiming to make computer programming goals approachable and achievable for the Temple community. We host semi-annual coding bootcamps for beginners, hands-on skill workshops for intermediate to advanced coders, and regular office hours for people of all skill levels to find solutions to their coding problems. Our educational materials cover a wide range of topics, are free, open-source, and hosted here on our webpage as tutorials so learners can progress at their own pace. Our materials are self-generated by community members, too, so there's always a person you can reach out to when questions inevitably arise.

Contact

To contact the board, send us an email. To contact our 150+ member community, join our slack channel. To stay up to date, join our google groups. To enter our office hours, join our zoom room. To access our content, check our youtube channel.

Email Us Join Our Slack Join Our Google Groups Subscribe to our Youtube Channel Check out our Github account

Office Hours

Office Hours are held both in-person and virtually on a weekly basis during the school as a means for individuals to seek support and guidance for coding related questions that they've encountered. Additionally, Tom Olino will be joining us starting this semester to offer guidance for any statistics related questions as well! Office hours during the Fall 2024 semester are scheduled Thursdays from 10:00am to 11:00am EST. You can attend in-person (Weiss 645) or via zoom.

COG Personnel

Contributors

Current Board

Helen Schmidt
Helen Schmidt
Steven Martinez
Steven Martinez

Former Board

Katie Jobson
Katie Jobson
Billy Mitchell
Billy Mitchell

Founders

Haroon Popal
Haroon Popal
Liz Beard
Liz Beard

Tutorials

Learning to Code
Neuroimaging

Summer Workshops

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 with the goal of teaching new skills and techniques to people who already have some coding experience.

2024

Topics: Machine Learning for Text Analysis in R, Representational Similarity Analysis in R, Metropolis Markov Chain Monte Carlo in R, Network Enrichment Significance Testing, Geospatial Analysis & Cartography in R

2023

Topics: GIMME, Intro to Machine Learning in Python, Intro to jsPsych, Building Functions & Iterating in R, Text Analysis in R, Dyadic Analysis in R, Intro to SQL

2022

Topics: Git/Github Pages, Data Wrangling in R, Data visualization in R, Neuroimaging in Python, PsychoPy, Representational similarity analysis in R, Natural Language Processing, Javascript Integration with Qualtrics

2021

Topics: Jupyter Notebook, Git/Github, Psychopy, Neuroimaging in python, Data visualization in R, Representational similarity analysis, Using linux machines & Owlsnest HPC, BIDS/Heudiconv/fmriprep

2020

Topics: Jupyter Notebook, Git/Github, Using publicly available datasets, Plotting data in R, Psychopy, JavaScript and jsPsych, Neuroimaing in python, Representational similarity analysis

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