The aim of this course is to provide useful knowledge on topics related to “Deep Learning, Computer Vision and Big Data Analytics” to young scientists.

Upon completion of the course, participants will acquire a foundational understanding of the initial steps necessary to embark on research within the field of deep learning for natural disaster management.

The program is addressed to young professionals and academics.

Application Form can submit those who have:

• Access to Internet
• Google account
• Personal computer
• Mathematical background

Priority order will be observed based on filing date up to 40 people.

On-site education.

Deep neural networks – Convolutional NNs, 2D Object Tracking in Embedded Systems, Programming workshop on Deep neural networks – Convolutional NNs, Programming workshop on 2D Object Tracking in Embedded Systems, Real Time Object Detection, Real-Time Image Segmentation, Programming workshop on Real Time Object Detection, Programming workshop on Real-Time Image Segmentation, Natural Language Processing, Explainability in Computer Vision applications, Programming workshop on Natural Language Processing, Programming workshop on Explainability methods in Computer Vision.

More information: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/

1. Pdf slides will be available to the attendees.
2. The participants will receive a Certificate of Specialized Training upon successful competition of the course.

ECTS: 3

Obligations of Trainees:

1. Participation in the programs of K.E.DI.BI.M. of the AUTH implies full acceptance of the program’s Study Guide and the Internal Regulation of Operation of the K.E.DI.BI.M. of the AUTH.
2. For the successful completion of the program, the participants should:
3. have attended more than 70% of the lectures and workshops
4. have completed the questionnaires with mark at least 5/10.
5. have paid all the tuition fees by 27/08/2024

Rights of Trainees:

1. Trainees are informed by the Department of Administrative Support of K.E.DI.BI.M. for all kinds of information related to the operation of the Centre.
2. Trainees are supported electronically through the educational platform by the trainers, as part of the educational process, to resolve questions and provide clarifications related to the thematic units of the programme.
3. Trainees have the right to apply for the interruption/termination of their programme attendance and a refund of their tuition fees, in accordance with the provisions of par. 12.9 hereof.
4. Students’/Trainees’ work is protected under the Copyright Regulations/Provisions.

After successful completion of the program, participants receive a Certificate of Specialized Training, which is issued by the Center for Education and Lifelong Learning AUTH and signed by the President of the Center.

Participants who have attended but not successfully completed the program, will be awarded a Certificate of Attendance.

For the successful completion of the program, the participants should:

A) have completed the questionnaires with mark at least 5/10.

B) have paid all the tuition fees by 27/08/2024.

For further information, please contact:

Ms. Efi Patmanidou

Email: epatman@csd.auth.gr, koroniioanna@csd.auth.gr