Course taught: Statistics for Political Scientists
Course, lecture and lab material for POLS 3316, Statistics for Political Scientists, Class number 14039, Fall 2023 at University of Houston.
This is a demonstration of the project requirements for POLS 3316, Statistics for Political Scientists.
Lab materials, assignments, and other materials for my students in Statistics for Political Science, POLS 3316, Section 1, at University of Houston, Summer 2022.
Course taken: Computational Text Analysis for Political Science
Course taken: Machine Learning for Political Science
Machine Learning for Political Science course from Fall 2020 at University of Houston.
Labs Taught: Graduate Methods 1 and 2
This is a repository for lab and homework information for the lab for the Graduate Course in Statistical Methods in the Political Science Department at University of Houston that I am teaching in Spring of 2021. The course title and description are: Research Design and Quantitative Methods II (Methods core) – Second course in required methods sequence. Focus on the general linear model. Topics include multivariate regression, violations of model assumptions, alternative estimators, computer applications.
Code for the labs and additional items of interest for the lab section of this course that I’m teaching this fall.
Miscellaneous Data Exploration: Regime Information
Working with regime data in R primarily for the purpose of developing explanatory variables for use in other projects. Polity V, VDem, COW Trade data, etc.
Self-learning: Art of R Programming
working through the book The Art of R Programming by Norman Matloff
Self-learning: Basic python
Just going through some basic python coding lessons