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@@ -120,7 +120,6 @@ PUC‑SP is an institutional partner of [**Bloomberg**]() and hosts a dedicated
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## Table of Contents
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-[Repository Overview](#-repository-overview)
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-[ Strategic Context](#-strategic-context)
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-[Core Areas](#-core-areas)
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-[Course Weekly Roadmap](#-course-weekly-roadmap)
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-[High‑Level System Architecture](#️-high-level-system-architecture)
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## [Repository Overview]()
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<br>
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This main hub repository represents a **complete cybersecurity and data intelligence framework**, integrating:
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[-]() Cybersecurity and threat detection
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[-]() APIs, Web Services, and distributed systems
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[-]() Real‑world financial and OSINT data
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<br>
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Designed as an [**end‑to‑end secure pipeline**](), bridging academic knowledge with real‑world applications in the context of the course [**Cybersecurity and Social Engineering**]().
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<br><br>
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## [Strategic Context]()
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<br>
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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.
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This creates a **rare academic environment** where cybersecurity, AI, and financial intelligence converge, enabling projects that combine Bloomberg academic APIs with public data sources such as the Central Bank of Brazil.
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<br><br>
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## [Core Areas]()
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<br>
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- Cybersecurity Engineering
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- Social Engineering Analysis
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- AI Security & Adversarial Systems
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- Ethical Hacking & Threat Modeling
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- Data Science & Web Intelligence
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- Distributed Systems & APIs
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<br>
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These core areas align with the official syllabus topics such as information security, distributed systems, Web Services, Big Data, NoSQL and Spark.[file:1
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