Jeremy Foote

Jeremy Foote

Computational social scientist studying cooperation and collaboration in online communities; faculty at Purdue University.

Teaching

COM 674: Introduction to Programming and Data Science

Graduate course, Purdue University, 2024

I continued to teach my intro to programming course. The course introduces basics of Python programming and data science to social science graduate students. We go over programming principles like control flow and functions, and then introduce parts of the data science pipeline, including APIs, pandas, visualization, computational text analyses, and statistical testing.

COM 682: Interdisciplinary Graduate Methods

Graduate course, Purdue University, 2024

I co-taught the first version of a course offered by The Methodology Center at Purdue (MCAP). The goal of the course was to teach a broad, interdisciplinary understanding of scientific methods. We invited guest speakers each week to discuss a topic they were expert in, and then had a seminar-style discussion of the topic the following class session.

COM 674: Introduction to Programming and Data Science

Graduate course, Purdue University, 2023

I continued to teach my intro to programming course. The course introduces basics of Python programming and data science to social science graduate students. We go over programming principles like control flow and functions, and then introduce parts of the data science pipeline, including APIs, pandas, visualization, and basic statistical tests.

COM 674: Introduction to Programming and Data Science

Graduate course, Purdue University, 2022

I continued to teach my intro to programming course for graduate students, Fall 2022. The course introduces basics of Python programming and data science to social science graduate students. We go over programming principles like control flow and functions, and then introduce parts of the data science pipeline, including APIs, pandas, visualization, and basic statistical tests.

COM 411: Communication and Social Networks

Undergraduate course, Purdue University, 2021

I taught our Communication and Social Networks course. I have continued to evolve how I teach the R component. I have started teaching ggraph and tidygraph. I think it’s a little bit more accessible than igraph, and also introduces tidyverse syntax. I also re-organized the course so that one day a week is more theoretical and one day is more technical/lab-based.

COM 674: Introduction to Programming and Data Science

Graduate course, Purdue University, 2021

I continued to teach my intro to programming course for graduate students, in both Summer 2021 and Fall 2021. The course introduces basics of Python programming and data science to social science graduate students. We go over programming principles like control flow and functions, and then introduce parts of the data science pipeline, including APIs, pandas, visualization, and basic statistical tests.

COM 495: Turning Data into Insight and Stories

Undergraduate course, Purdue University, 2020

I developed a course designed to teach both the technical skills to explore and extract insight from data and the communication skills to visualize, present, and discuss data insights. The course focused most on learning R, and particularly creating compelling visualizations in R, rather than statistical procedures. The syllabus is available here. For the visualization aspects, I drew heavily on Andrew Heiss’s course on Data Visualization in R.

COM 411: Communication and Social Networks

Undergraduate course, Purdue University, 2020

I taught our Communication and Social Networks course. I have continued to evolve how I teach the R component. I have started teaching ggraph and tidygraph. I think it’s a little bit more accessible than igraph, and also introduces tidyverse syntax. I also re-organized the course so that one day a week is more theoretical and one day is more technical/lab-based. This class was all online, but we made it work! :)

COM 674: Introduction to Programming and Data Science

Graduate course, Purdue University, 2020

I built heavily on Tommy Guy’s course run at the University of Washington to develop a course that introduces basics of Python programming and data science to social science graduate students. The course includes programming principles like control flow and functions, and then introduce parts of the data science pipeline, including APIs, pandas, visualization, and basic statistical tests. The course was taught during both Spring 2020 and an intense four-week summer course