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1- 🔐 Cybersecurity, Social Engineering and AI Security / Main Hub Repository

A Data-Driven Approach Integrating Web Services, Machine Learning, and Financial Data Infrastructure

Cybersecurity and Social Engineering Integrated Project - PUC-SP 5th Semester (2026)

Institution: Pontifical Catholic University of São Paulo (PUC‑SP – Humanistic AI & Data Science • 5º Semester • 2026)
School: FACEI – Faculty of Interdisciplinary Studies
Course Repo: INTEGRATED PROJECT: Cybersecurity and Social Engineering – 108 Hours
Professor: ✨ Eduardo Savino Gomes
Extensionist Activities: Extension projects and workshops using open‑source software and data‑driven consulting to support the community, aligned with the 20 official extension hours of the course.

Main Hub Repository for the course “Segurança Cibernética e Engenharia Social” of the Data Science and Artificial Intelligence program at PUC‑SP (FACEI, 5th semester), centralizing documentation and links to related project repositories focused on cybersecurity, social engineering, distributed systems, APIs, data analysis, and applied extension projects using Web Services and Machine Learning.

PUC‑SP is an institutional partner of Bloomberg and hosts a dedicated Bloomberg laboratory on campus, which provides access to Bloomberg data, terminals and APIs for students and faculty. This repository documents projects that make academic use of Bloomberg APIs together with public data sources (such as the Central Bank of Brazil) in the context of cybersecurity, financial intelligence and OSINT‑oriented analysis.

Note

⚠️ Heads Up

• Projects and deliverables may be made publicly available whenever possible.

• The course emphasizes practical, hands-on experience with real datasets to simulate professional consulting scenarios in the fields of Machine Learning and Neural Networks for partner organizations and institutions affiliated with the university.

• All activities comply with the academic and ethical guidelines of PUC-SP.

• Any content not authorized for public disclosure will remain confidential and securely stored in private repositories.

Table of Contents

• Course Information
• Syllabus (Short Version)
• Learning Objectives
• Course Weekly Roadmap
• Official Extension Project (Project Integrator 1 – 2 Subprojects)
  • Stage 1 – Consuming Third‑Party APIs, Dashboards and Prediction
  • Stage 2 – RESTful API Built on a SQL Database (Extension Requirement)
• Course Projects (Planned)
• Assessment
• Methodology
• Bibliography
• Suggested Folder Structure (Planned)

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