/fgv_applied_topics

Course of Applied Maths Topics, with the contents of Optimal Control, Fuzzy Logic and Complex Networks

Primary LanguageJupyter NotebookMIT LicenseMIT

Topics on Applied Maths

Content developed in the course Topics on Applied Maths, from FGV EMAp.

The core subjects of the course are:

  • Optimal Control - Prof. Maria Soledad
  • Fuzzy Logic - Prof. Eduardo Massad
  • Complex Networks - Prof. Moacyr Silva

Project Organization

├── LICENSE
├── README.md                  <- The top-level README for developers using this project (this file!)
├── data
│   ├── output                 <- Output processed data
│   ├── treated                <- The cleaned and treated data for analysis
│   └── raw                    <- The original, immutable data dump
├── notebooks                  <- Jupyter notebooks
├── scripts                    <- Python files
├── requirements.txt           <- Packages used in the code

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

You need to have the packages on requirements.txt installed. To do that, open the terminal and run:

pip3 install -U -r requirements.txt

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments