[visionlist] ΑΙDA AI Curriculum for undergraduate/postgraduate AI studies

[Ioanna Koroni]

Dear AI colleagues,

the International AI Doctoral Academy (AIDA, https://www.i-aida.org/) 
has developed an extensive and detailed AI Curriculum for 
undergraduate(BSc) and postgraduate(MSc/Phd) AI studies in the period 
2022-2026,

thanks to the contribution of more than 15 AI scientists.

It can be downloaded from the AIDA www page: 
https://www.i-aida.org/activities/aida-ai-bsc-msc-curriculum/

**

It is organized in five *Knowledge Areas (KA)*, each containing several 
  courses/modules called *Knowledge Units (KUs)*:

 1. *KA1: Preliminary & Foundational CS (PFCS)*-6 KUs including
    Programming paradigms, discrete math, data structures, etc.
 2. *KA2: Advanced Mathematics & Cognitive Foundations (AMCF)*- 7 KUs
    including Calculus, probability, optimization, plus
    cognitive/neuroscience fundamentals.
 3. *KA3: Core AI (CAI)*- 7 KUs including Foundations of AI, Knowledge
    Representation, Reasoning & Planning, Machine Learning, Deep
    Learning, Computer Vision, NLP, AI Ethics & Governance.
 4. *KA4: Advanced & Specialized AI Electives (ASAI)*- 15 KUs including
    Reinforcement Learning, Generative AI, Trustworthy AI, Robotics, etc.
 5. *KA5: AI Support & Professional Practice (AISP)*- 5 KUs including
    Data management, parallel/distributed programming, project
    management, entrepreneurship.

It maps the AI knowledge onto a flexible 120-credit U.S. bachelor’s or 
240-ECTS Bologna degree, leaving ample space for additional general 
education courses, internships, etc.

**

Each Knowledge Unit (KU) contains *Recommended Contact Hours* (total 
minimal classroom contact, including lectures and labs), *Topics* and 
*Key Learning Outcomes*.

This AI Curriculum template for dedicated AI academic 
programs/departments provides a coherent, modular pathway that conforms 
to contemporary higher education standards. It is organized similarly to 
the ACM/IEEE-CS/AAAI “CS2023” curriculum on AI.

Besides its use in developing undergraduate (BSc) AI programs, it can 
serve as a basis for offering postgraduate AI programs at MSc, PhD or 
even at postdoc level, as well as for conversion/reskilling/upskilling 
AI programs for personnel reskilling/upskilling.

AIDA offers its use free of charge. If an institution makes extensive 
use of this AI Curriculum, it is welcomed to mention it in the related 
AI BSc/MSc/PhD program www page and supporting material.

The AI Curriculum is a living document that should be constantly 
updated, as AI developments are fast and, at times, dramatic.

Any interested AI Society or AI Department/program or individual AI 
scientists are welcomed to adopt it or contribute to its updates, by 
contacting its authors Dr. Ioannis Mademlis and Dr. Ioannis Pitas,

towards developing a worldwide recognized standard AI Curriculum. In 
this case, the contributor names will be added to the contributors’ list.

*Contact*

Dr. Ioannis Mademlis imademlis at csd.auth.gr 
<mailto:imademlis at csd.auth.gr>, Dr. Ioannis Pitas pitas at csd.auth.gr 
<mailto:pitas at csd.auth.gr>, pitas at iti.gr <mailto:pitas at iti.gr>

Sincerely yours

Dr. Ioannis Pitas

AIDA Chair

Post scriptum: To stay current on AIDA, AI, or CV/ML matters, you may 
want to register in the CVML email list, following instructions in: 
https://lists.auth.gr/sympa/info/cvml
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