All Modules

This section contains all materials and case studies to support a variety of classes. Filter by topic using the categories on the right. Filter by class by choosing the appropriate class category.

Modules

A Study of Richter’s Kouroi Through Image Embedding

Using examples from Richter’s Kouroi, this notebook introduces computer vision and image embeddings, showing how pre-trained convolutional neural networks can be applied…

A visual introduction to fundamental modern machine Learning

What is Deep Learning, Machine Learning, and Artificial Intelligence?

Embedding Driven Text Analysis of Crease’s Stance Towards Chinese Immigrants

This notebook aims to demonstrate how machine learning can assist with historical and other humanity research.

How Do Large Language Models Predict?

This notebook explores how large language models (LLMs) work by linking their…

Introduction to Convolutional Neural Networks (CNNs)

This notebook provides an introduction to Convolutional Neural Networks (CNNs), their architecture, and their applications. It includes a hands-on example of building and…

Introduction to Convolutions

This notebook provides an intuitive explanation of convolution and its application in multiple fields with some simple examples.

Introduction to Network Analysis

This notebook is an introduction to basic network analysis in Python.

Introduction to Sentiment Analysis: Identifying and Mapping Disinformation Campaigns using NLP

An introduction to BERT-based NLP using online examples of disinformation and exploration of how embeddings and classification models can be used to analyze and detect…

Network Analysis: CBDB Dataset

Using Network Analysis to Analyze The China Biographical Dataset

Network Analysis: KINMATRIX Dataset

Using the KINMATRIX Dataset to explore network analysis for SOCI 415

Text Analysis Overview

Qualitative research often begins with hand-coded analysis, where researchers create a codebook and apply categories to text manually