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

you are welcomed to register and attend one or more of the 21 CVML Web e-Course Modules on offer, each consisting of Lecture Series (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 your needs.

Each CVML Web e-Course you will create (16 lectures) provides you 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: Ioanna Koroni <koroniioanna@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 and EURASIP fellow, Coordinator of International AI Doctoral Academy (AIDA), past Chair of the IEEE SPS Autonomous Systems Initiative,

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020

R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 34100+ citations to his work  and h-index 87+.

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
2. International AI Doctoral Academy (AIDA): https://www.i-aida.org/
3. Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/
4. Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
5. Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
6. AIIA Lab: https://aiia.csd.auth.gr/

Sincerely yours

Prof. I. Pitas

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

Aristotle University of Thessaloniki, Greece