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      • AI Networks of Excellence (ICT-48)
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      • AICET 2025
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      • 5th AI Mellontology Symposium “AI Education Beyond Borders” 2024
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      • 3nd AI Mellontology e-Symposium on Computational Politics 2023
      • 2nd AI Mellontology Symposium 2022
      • 1st AI Mellontology e-Symposium 2021
  • Resources
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AIDA AI PhD Curriculum

AI PhD Curriculum is a specification of the structure and content of a PhD programme. The Curriculum concentrates on the doctoral training parts categorised as AI Core Curriculum modules and AI Special Topic Pillars with specific learning outcomes and related courses.

These include taught modules, self-study, practical assignments, internships and research visits, and the acquisition of transferable skills.

AI Core Modules

  • 1. Foundations of Artificial Intelligence
  • 2. AI Paradigms and Representations
  • 3. Deciding and Learning How to Act
  • 4. Machine Learning
  • 5. Computer Vision
  • 6. Natural Language Proccessing and Analysis
  • 7. AI Ethics and Governance

AI Special Topics Pillars

  • 1. AI for Media, Society and Democracy (Delivered by AI4MEDIA)
    • Music/Sound Analysis and Synthesis
    • AI and Game Media
    • Web and Social Media Analysis/Mining
    • Human-Centred Media Analysis
  • 2. Integrating Approaches for Trustworthy AI (Delivered by TAILOR)
    • Foundations of Trustworthy AI
    • Reasoning and Learning in Social Contexts
    • Automated AI
  • 3. Data-Driven Learning (Delivered by ELISE)
    • Deep Learning
    • Machine Learning Theory
    • Reinforcement Learning and Sequential Decision-making
    • Distributed and Federated Learning
    • Generative Artificial Intelligence
  • 4. Human-Centric AI (Delivered by HumaneAINet)
    • Human-Centred Machine Learning
    • Explainable AI

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PHD Studies

  • Why AIDA courses?
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    • 2024 Symposium “AI Education Beyond Borders”
    • 2023
    • 2022
    • 2021

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The International AI Doctoral Academy (AIDA) is a joint initiative of the European funded projects:

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 951911

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