📘 Illinois Tech Course Graphs

This project provides an interactive graph-based visualization of Illinois Tech course prerequisites for any subject using a Streamlit web app. It scrapes course data directly from Illinois Tech's course catalog by subject (e.g., MATH, CS, PHYS) and builds a dynamic dependency graph, enabling users to explore prerequisites and corequisites for courses.

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🚀 Features

• Interactive web UI built with Streamlit
• Select courses you plan to take, and automatically see all required prerequisites
• Toggle display of corequisites and filter by subject and individual courses
• Clean and organized layout using Graphviz and NetworkX
• Dynamically updating graphs with hover and zoom support (via PyVis or matplotlib)

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🛠 Setup

Make sure you have Python 3.8+ installed. Then:

git clone https://github.com/igoeldc/iit_course_graphs.git
cd iit_course_graphs
pip install -r requirements.txt

If you use pygraphviz, you may need:

brew install graphviz
pip install pygraphviz

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▶️ Usage

Launch the Streamlit app:

streamlit run app.py

Enter a subject code of your choice (e.g., MATH, CS, PHYS) and select courses from the dropdown to explore the prerequisite graph!

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🧠 How it Works

• Scrapes Illinois Tech's course catalog by subject using BeautifulSoup
• Parses course blocks and extracts prerequisites and corequisites from HTML
• Builds a directed graph using NetworkX
• Displays the graph interactively using matplotlib or PyVis

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📂 Project Structure

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├── app.py                  # Main Streamlit application
├── scrape.py               # Web scraper to extract course and prereq info
├── graph_utils.py          # Graph construction and visualization helpers
├── requirements.txt
└── README.md

🖼 Example