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        <p class="MsoNormal"><span style="font-size:11.0pt">Dear AI
            colleagues,<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">the
            International AI Doctoral Academy (AIDA, <a
              href="https://www.i-aida.org/" moz-do-not-send="true"
              class="moz-txt-link-freetext">https://www.i-aida.org/</a>)
            has developed an extensive and detailed AI Curriculum for
            undergraduate(BSc) and postgraduate(MSc/Phd) AI studies in
            the period 2022-2026,<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">thanks to
            the contribution of more than 15 AI scientists. <o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">It can be
            downloaded from the AIDA www page: <a
href="https://www.i-aida.org/activities/aida-ai-bsc-msc-curriculum/"
              moz-do-not-send="true" class="moz-txt-link-freetext">https://www.i-aida.org/activities/aida-ai-bsc-msc-curriculum/</a><o:p></o:p></span></p>
        <p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">It is
            organized in five <b>Knowledge Areas (KA)</b>, each
            containing several  courses/modules called <b>Knowledge
              Units (KUs)</b>: <o:p></o:p></span></p>
        <ol style="margin-top:0cm" start="1" type="1">
          <li class="MsoNormal" style="mso-list:l3 level1 lfo6"><b><span
                style="font-size:11.0pt">KA1: Preliminary &
                Foundational CS (PFCS)</span></b><span
              style="font-size:11.0pt"> -6 KUs including Programming
              paradigms, discrete math, data structures, etc.<o:p></o:p></span></li>
          <li class="MsoNormal" style="mso-list:l3 level1 lfo6"><b><span
                style="font-size:11.0pt">KA2: Advanced Mathematics &
                Cognitive Foundations (AMCF)</span></b><span
              style="font-size:11.0pt"> - 7 KUs including Calculus,
              probability, optimization, plus cognitive/neuroscience
              fundamentals.<o:p></o:p></span></li>
          <li class="MsoNormal" style="mso-list:l3 level1 lfo6"><b><span
                style="font-size:11.0pt">KA3: Core AI (CAI)</span></b><span
              style="font-size:11.0pt"> - 7 KUs including Foundations of
              AI, Knowledge Representation, Reasoning & Planning,
              Machine Learning, Deep Learning, Computer Vision, NLP, AI
              Ethics & Governance.<o:p></o:p></span></li>
          <li class="MsoNormal" style="mso-list:l3 level1 lfo6"><b><span
                style="font-size:11.0pt">KA4: Advanced & Specialized
                AI Electives (ASAI)</span></b><span
              style="font-size:11.0pt"> - 15 KUs including Reinforcement
              Learning, Generative AI, Trustworthy AI, Robotics, etc.<o:p></o:p></span></li>
          <li class="MsoNormal" style="mso-list:l3 level1 lfo6"><b><span
                style="font-size:11.0pt">KA5: AI Support &
                Professional Practice (AISP)</span></b><span
              style="font-size:11.0pt"> - 5 KUs including Data
              management, parallel/distributed programming, project
              management, entrepreneurship.<o:p></o:p></span></li>
        </ol>
        <p class="MsoNormal"><span style="font-size:11.0pt">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.<o:p></o:p></span></p>
        <p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">Each
            Knowledge Unit (KU) contains <b>Recommended Contact Hours</b>
            (total minimal classroom contact, including lectures and
            labs), <b>Topics</b> and <b>Key Learning Outcomes</b>.<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">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. <o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">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.<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">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.<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">The AI
            Curriculum is a living document that should be constantly
            updated, as AI developments are fast and, at times,
            dramatic. <o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">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, <o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">towards
            developing a worldwide recognized standard AI Curriculum. In
            this case, the contributor names will be added to the
            contributors’ list.<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><b><span style="font-size:11.0pt">Contact<o:p></o:p></span></b></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">Dr. Ioannis
            Mademlis </span><span lang="EL" style="font-size:11.0pt"><a
              href="mailto:imademlis@csd.auth.gr" moz-do-not-send="true"><span
                lang="EN-US">imademlis@csd.auth.gr</span></a></span><span
            style="font-size:11.0pt">, Dr. Ioannis Pitas </span><span
            lang="EL" style="font-size:11.0pt"><a
              href="mailto:pitas@csd.auth.gr" moz-do-not-send="true"><span
                lang="EN-US">pitas@csd.auth.gr</span></a></span><span
            style="font-size:11.0pt">, </span><span lang="EL"
            style="font-size:11.0pt"><a href="mailto:pitas@iti.gr"
              moz-do-not-send="true"><span lang="EN-US">pitas@iti.gr</span></a></span><span
            style="font-size:11.0pt"><o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">Sincerely
            yours<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">Dr. Ioannis
            Pitas<o:p></o:p></span></p>
        <p class="MsoNormal"><span style="font-size:11.0pt">AIDA Chair<o:p></o:p></span></p>
        <p class="MsoNormal"
          style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto"><span
style="font-size:11.0pt;font-family:"Calibri",sans-serif">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: <a
              href="https://lists.auth.gr/sympa/info/cvml"
              moz-do-not-send="true" class="moz-txt-link-freetext">https://lists.auth.gr/sympa/info/cvml</a></span><o:p></o:p></p>
        <p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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