Welcome to Constructive and Explainable Machine Learning (2021)

Description: The course will cover a set of problems and techniques related to learning in structured domains, touching upon topics like 

structured-output learning, statistical relational learning, learning with constraints, interactive machine learning and explainable AI. 

The course will consist of online lectures combined with hands-on exercises  Students will be asked to complete a homework assignment to get the credits for the course.

Organizer: Manfred Jaeger

Lecturers: Andrea Passerini

ECTS: 2.0

Time: 18-19 May 2021, 08:30-11:30 and 14:30-16:30 both days

Place: ONLINE via Zoom, link will follow

Number of seats: 30

Deadline: 26 April 2021 There are still available spots. Send a mail to chvass@adm.aau.dk if you wish to join the course.

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.