This summer school will give an introduction to the state-of-the-art for handling too little or missing data in Ai systems. The course will include project work, where the participants make a small programming project relating their research to the summer school's topics.
After completing this course, the students will have a working knowledge of state-of-the-art of methods for handling missing data, for generating new by augmentation and by generative models. The students will also have practical experience using existing programming tools to program solutions in this respect.
Organizer: Thomas Moeslund from AAU, This is co-organized by DTU, KU and AAU
Lecturers:
ECTS: 3
Time: week 33 2023
Place: Please register via this link -> https://missing-data.compute.dtu.dk/
Zip code:
City:
Number of seats: 100 - 150
Deadline:
Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Thomas B. Moeslund