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Programmatic Content.pdf

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\[[🇧🇷 Português](README.pt_BR.md)\] \[**[🇬🇧 English](README.md)**\]
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\[[🇧🇷 Português](README.pt_BR.md)\] \[**[🇬🇧 English](README.md)**\]
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## [Course Identity]()
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[-]() **Course name:** Consulting Specialized Support for Integrated Project: Distributed Systems
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- **Program:** Humanistic AI and Data Science (Ciência de Dados e Inteligência Artificial, 5th semester)
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- - **School:** Faculdade de Estudos Interdisciplinares – PUC-SP
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- **Semester / Year:** 1º/2026
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- **Workload:** 72 hours (72 credits-hours
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- [**Course name:**]() Consulting Specialized Support for Integrated Project: Distributed Systems
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- [**Program:**]() Humanistic AI and Data Science (Ciência de Dados e Inteligência Artificial, 5th semester)
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- [**School:**]() Faculdade de Estudos Interdisciplinares – PUC-SP
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- [**Semester / Year:**]() 1º/2026
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- [**Workload:** 72 hours (72 credits-hours
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- **Professor:** [✨ Carlos Eduardo de Barros Paes]()
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Here you will find an organized view of all weekly classes, links to sub-repositories, study materials, and references that will guide you through the entire semester in a simple way.
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#### <p align="center"> [![Sponsor Mindful AI Assistants](https://img.shields.io/badge/Sponsor-%C2%B7%C2%B7%C2%B7%20Mindful%20AI%20Assistants%20%C2%B7%C2%B7%C2%B7-brightgreen?logo=GitHub)](https://github.com/sponsors/Mindful-AI-Assistants)
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<!--Confidentiality statement -->
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#
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> [!NOTE]
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> ⚠️ Heads Up
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> * Projects and deliverables may be made [publicly available]() whenever possible.
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> * 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.
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> * All activities comply with the [**academic and ethical guidelines of PUC-SP**]().
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> * Any content not authorized for public disclosure will remain [**confidential**]() and securely stored in [private repositories]().
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> <br>
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<br><br>
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## [What You Will Learn (In Simple Words)]()
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The course is about how many computers can **work together** as a team to solve problems faster and handle a lot of data.
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You will learn what distributed systems are, how they talk to each other, and how to program them using modern tools like Python, Spark, Hadoop, and GPUs.
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## 💌 [Let the data flow... Ping Me !](mailto:fabicampanari@proton.me)
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<br>
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#### <p align="center"> 🛸๋ My Contacts [Hub](https://linktr.ee/fabianacampanari)
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<br>
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### <p align="center"> <img src="https://github.com/user-attachments/assets/517fc573-7607-4c5d-82a7-38383cc0537d" />
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<p align="center"> ────────────── ⊹🔭๋ ──────────────
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<p align="center"> ────────────── 🛸๋*ੈ✩* 🔭*ੈ₊ ──────────────
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-->
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<p align="center"> ➣➢➤ <a href="#top">Back to Top </a>
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#
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###### <p align="center"> Copyright 2026 Quantum Software Development. Code released under the [MIT license](https://github.com/Quantum-Software-Development/1-Distributed-Systems-Operating-Systems-Main/blob/main/LICENSE).
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