[visionlist] Asynchronous Web e-Courses offered on Deep Learning, Computer Vision, Autonomous Systems, Signal/Image/Video Processing, Human-centered Computing, Social Media, Mathematical Foundations, CVML SW tools

[AIIA CVML]

Dear Computer Vision, Machine Learning, Autonomous Systems, DSP/DIP, Social
Media Engineers, Scientists and Enthusiasts,



you are welcomed to register and attend Web e-Courses consisting of one or
more of the 21 CVML Web e-Course Modules on offer (Lecture Series having
208 lectures in total).



These asynchronous Web e-Course Modules (Lecture Series) provide an
overview and in-depth presentation of 21 different domains:



   - *Deep Learning and Neural Networks: *Machine Learning (12 Lectures),
   Neural Networks/Deep Learning (14 Lectures), Advanced Deep Learning (7
   Lectures)
   - *Deep Learning and Computer Vision Foundations and Tools:  *Mathematical
   Foundations (9 Lectures), SW Development and Programming Tools (3 Lectures)
   - *Computer Vision/Image Processing and 3D Imaging:  *Computer Vision
   (12 Lectures), 2D Computer Vision/Image Analysis (8 Lectures), Image
   Processing (21 Lectures), Video Processing and Analysis (17 Lectures), 3D
   Imaging (9 Lectures), 3D Computer Graphics and Virtual Reality (5 Lectures)
   - *Autonomous Systems: *Autonomous Systems principles (8 Lectures),
   Robotics and Automatic Control (3 Lectures), Autonomous Cars (8 Lectures),
   Autonomous Drones (15 Lectures), Autonomous Marine Systems (4 Lectures).
   - *Human centered computing. Social Networks. Graph Theory: *Human
   Centered Computing (15 Lectures), Network Theory. Social Media Analysis (10
   Lectures).
   - *Digital Signal Processing and Applications: *Signal and Systems (11
   Lectures), Digital Signal Processing and Analysis (7 Lectures), Medical
   Image and Signal Analysis (4 Lectures), Acoustics, Speech, Natural Language
   Processing and Analysis (4 Lectures), Communications (2 Lectures).



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.

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.

Asynchronous tutor support will be provided in case of questions.



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.

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.



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.



*You can find sample Web e-Course Module material to make up your mind
and/or can perform CVML Web e-Course registration in* 👇

http://icarus.csd.auth.gr/cvml-web-lecture-series/

For questions, please contact: koroniioanna at csd.auth.gr



*Academic/Research/Industry offer and arrangements*

Special arrangements can be made to offer the material of these CVML Web
e-Course Modules at University/Department/Company level:

   - by granting access to the material to University/research/industry
   lecturers to be used as an aid in their teaching,
   - by enabling class registration in CVML Web e-Courses
   - by delivering such live short courses physically or on-line by Prof.
   Ioannis Pitas
   - by combinations of the above.



The CVML Web e-Course is organized by Prof. I. Pitas, IEEE fellow, IEEE
Distinguished Lecturer, EURASIP fellow, Director of the Artificial
Intelligence and Information Analysis (AIIA) lab, Chair of International AI
Doctoral Academy (AIDA), past Chair of the IEEE SPS Autonomous Systems
Initiative.

He is the coordinator of the Horizon Europe R&D project TEMA
https://tema-project.eu/ , AUTH principal investigator in H2020 R&D
projects Aerial Core, AI4Media (https://www.ai4media.eu/ one of the 4 H2020
ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe,
SIMAR. He is ranked 249-top Computer Science and Electronics scientist
internationally by Guide2research (2018). He has 36500+ citations to his
work and h-index 90+. According to https://research.com/ he is ranked first
in Greece and 319 worldwide in the field of Computer Science (2022).



The informatics Department at AUTH ranked 106th internationally in the
field of Computer Science for 2019 in the Leiden Ranking list.



*Relevant links:*

   1. *Prof. I.
   Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
   <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el>*
   2. *International AI Doctoral Academy (AIDA): https://www.i-aida.org
   <https://www.i-aida.org/>*
   3. *AIIA Lab*: https://aiia.csd.auth.gr



Sincerely yours

Prof. I. Pitas

Chair of the International AI Doctoral Academy (AIDA)

Director of the Artificial Intelligence and Information analysis Lab
(AIIA Lab)

Aristotle University of Thessaloniki, Greece



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