<div dir="ltr"><p style="margin-right:0cm;margin-left:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;border:1pt none windowtext;padding:0cm">Dear AI/CS/ECE student<span style="color:rgb(80,0,80)">/</span>scientist/engineer/enthusiast,</span><span style="font-family:Calibri,sans-serif"></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">the International AI Doctoral Academy (</span><span style="font-family:Calibri,sans-serif;color:black"><a href="https://www.i-aida.org/" target="_blank" style="color:rgb(70,120,134)"><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">AIDA</span></a><span style="background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">)</span></span><span style="font-family:Calibri,sans-serif;color:rgb(80,0,80);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> </span><span style="font-family:Calibri,sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">is excited to invite you to attend the </span><span style="font-family:Calibri,sans-serif">Computer Vision and Machine Learning Web Lecture series consisting of one or more of the 24 CVML Web e-Course Modules on offer (Lecture Series having 297 lectures in total) <span style="color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">offered by <b>Prof. Ioannis Pitas</b> at Aristotle University of Thessaloniki.</span></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Computer Vision and Machine Learning Web Lecture series contains 297 asynchronous Lectures organized in 24 Lecture modules covering diverse topics on:<br><br></span></p><ul type="disc" style="margin-top:0cm;margin-bottom:0cm"><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Deep Learning and Neural Networks</span></b><span style="font-family:Calibri,sans-serif"></span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Deep Learning and Computer Vision Foundations and Tools</span></b><span style="font-family:Calibri,sans-serif"></span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Computer Vision/Image Processing and 3D Imaging</span></b><span style="font-family:Calibri,sans-serif"></span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Autonomous Systems</span></b><span style="font-family:Calibri,sans-serif"></span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Human centered computing. Social Networks. Graph Theory</span></b><span style="font-family:Calibri,sans-serif"></span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">Digital Signal Processing and Applications</span></b><span style="font-family:Calibri,sans-serif"></span></li></ul><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">You can combine CVML Web e-Course Modules to create CVML Web e-Courses (typically consisting of 16 lectures) of your own choice that cater to your personal education needs.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Each CVML Web e-Course you will create (16 lectures) provides you with material that can cover a semester course, but you can master it in approximately 1 month.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Asynchronous tutor support will be provided in case of questions.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">CVML Web e-Course Module materials typically consist of:  a) a lecture pdf/ppt, b) lecture self-assessment understanding questionnaire and lecture video, programming exercises, tutorial exercises (for several modules/lectures) and overall course module satisfaction questionnaire.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Course materials have been very successfully used in many top conference keynote speeches/tutorials worldwide and in short courses, summer schools, semester courses delivered by AIIA Lab physically or on-line from 2018 onwards, attracting many hundreds of registrants.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Course materials are at senior undergraduate/MSc level in a CS, CSE, EE or ECE or related Engineering or Science Department. Their structure, level and offer are completely different from what you can find in either Coursera or Udemy.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Explore more: <a href="https://icarus.csd.auth.gr/cvml-web-lecture-series/" target="_blank" style="color:rgb(70,120,134)">https://icarus.csd.auth.gr/cvml-web-lecture-series/</a><br><br></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Please inform the Lecturer Prof. Ioannis Pitas on your choice by email to <a href="mailto:pitas@csd.auth.gr" target="_blank" style="color:rgb(70,120,134)">pitas@csd.auth.gr</a></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span style="font-family:Calibri,sans-serif">REGISTRATION</span></b><span style="font-family:Calibri,sans-serif"><br><br>a) register in the course by clicking <a href="https://icarus.csd.auth.gr/cvml-web-lecture-series/" target="_blank" style="color:rgb(70,120,134)">here</a> [<b>Please find the registration details</b>]</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">AND<br></span><span lang="EN-GB" style="font-family:Calibri,sans-serif;color:black;letter-spacing:0.1pt">b) For </span><span lang="EN-GB" style="font-family:Calibri,sans-serif;color:black;letter-spacing:0.1pt">AIDA Students: (PhD students/candidates, Post-doc researchers belonging to any AIDA </span><span style="font-family:Calibri,sans-serif;color:black"><a href="https://www.i-aida.org/about/members/" target="_blank" style="color:rgb(70,120,134)"><span style="color:black;text-decoration-line:none">Member</span></a></span><span lang="EN-GB" style="font-family:Calibri,sans-serif;color:black;letter-spacing:0.1pt">)o</span><span lang="EN-GB" style="font-size:12pt;font-family:Calibri,sans-serif;color:black;letter-spacing:0.1pt">n the top of the above registration, </span><span lang="EN-GB" style="font-size:12pt;font-family:Calibri,sans-serif;color:black;letter-spacing:0.1pt">enroll on the course by clicking the “ENROLL ON THIS COURSE” button on the <a href="https://www.i-aida.org/course/computer-vision-and-machine-learning-web-lecture-series-2/" target="_blank" style="color:rgb(70,120,134)">AIDA course page</a>, so that the course is included on your AIDA Certificate of Course Attendance upon successful completion of the course.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><b><span lang="EN-GB" style="font-family:Calibri,sans-serif"> </span></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Sincerely yours</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Prof. I. Pitas</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Chair of the International AI Doctoral Academy (<a href="https://www.i-aida.org/" target="_blank" style="color:rgb(70,120,134)">AIDA</a>)</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Director of the Artificial Intelligence and Information analysis Lab (<a href="https://aiia.csd.auth.gr/" target="_blank" style="color:rgb(70,120,134)">AIIA Lab</a>)</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Aristotle University of Thessaloniki, Greece</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif"> </span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Aptos,sans-serif"><span style="font-family:Calibri,sans-serif">Post scriptum: To stay current on CVML matters, you may want to register to the CVML email list, following instructions in <a href="https://lists.auth.gr/sympa/info/cvml" target="_blank" style="color:rgb(70,120,134)">https://lists.auth.gr/sympa/info/cvml</a></span></p></div>