Georgia Tech Test Prep

Welcome to the Course Review Helper repository! This repository contains interactive tools designed to help students review and master course material through self-testing with generated questions.

Features

Each app in this repository generates multiple-choice questions to help students review material for a particular course:

CS 7280 Network Science: Review questions based on course content, lectures, and personal notes.
CS 7643 Deep Learning: Questions covering key concepts in deep learning.
ISYE 6740 Computational Data Analytics: Review material for computational data analytics.

Why These Apps?

These tools were created to support active learning through self-testing, which is often more effective than rewatching lectures or rereading course materials. Each app includes GPT-generated questions as well as relevant questions from the courses and similar classes from other institutions.

Additional Resources

Network Science

Yi Xiang Low's Course Notes for CS 7280 Network Science
Course Book: A-L. Barabási, Network Science, 2015 for CS 7280 Network Science
Official Course Website for CS 7280 Network Science

Deep Learning

Computational Data Analytics

Usage

These apps are designed to be used online. To customize or run them locally, follow the instructions below.

Running Locally

Clone the repository:

git clone https://github.com/gderiddershanghai/gt_test_prep.git
cd gt_test_prep

Install the required packages:
```
pip install -r requirements.txt
```

Run the desired app:

streamlit run network_science_app.py  # For CS 7280 Network Science
streamlit run deep_learning_app.py    # For CS 7643 Deep Learning
streamlit run cda_app.py              # For ISYE 6740 Computational Data Analytics

License

This project is licensed under the MIT License.

Contact

Access these apps and others directly here: