Back to ListCVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024
Title
CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024
Lecturer
Prof. Ioannis Pitas,
Ms. Ioanna Valsamara,
Mr. Evangelos Charalampakis,
Mr. Nikolaos Marios Militsis,
Ms. Erofili Alexaki,
Mr. Dimitris Psarras,
Mr. Matthaios Dimitrios Tzimas,
Content and organization
This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.
Part A: Deep Learning for Autonomous Systems
Part B: Computer Vision applications in Natural Disaster Management
Part C: Deep Learning applications in Natural Disaster Management
Participation terms
Both AIDA and non-AIDA students are encouraged to participate in this short course. CS/ECE/EE/AI students/scientists, engineers as well as AI enthusiasts from other scientific disciplines having the necessary mathematical background are welcomed to register:
Step (a): If you are an AIDA Student*, enroll on this course using the “ENROLL ON THIS COURSE” button below, so that this course is included on your AIDA Certificate of Course Attendance, upon successful course participation,
AND
Step (b): Register in the course
Early registration (till 15/07/2024): Registration link
After the completion of your payment, please fill in the form
*AIDA Students are are PhD students/candidates or postdoc researchers belonging to any AIDA member.
If you are not an AIDA student, please follow only the step (b) and register through the course page, following the above registration link.
For the successful completion of the program, the participants should:
Α) have attended more than 70% of the lectures and workshops
Β) have completed the questionnaires with mark at least 5/10.
C) have paid all the tuition fees by 27/08/2024.
Level
Postgraduate
Course Duration
24 hours
Course Type
Seasonal School
ECTS
3
Schedule
From 27 to 29 August 2024, 8:30-16:30 EEST
Language
English
Modality (online/in person):
In person
