General Information

Only in Winter Semester.

SWS: 2, ECTS: 4.

Available for master students.

The course will be conducted in English.

Important: The seminar will take place in person (Wednesdays at 12:00, Room 45.2.101). Please check on Moodle for instructions.

Objectives

The aim of the seminar is to follow the recent advances in applied artificial intelligence, machine learning and deep learning, with applications in topics such as autonomous driving, robotics, computer graphics, visual computing, communication technology, measuring technology and control theory. The students will be able to study, understand and present publications from the recent literature of applied artificial intelligence, machine learning and deep learning. After finishing the seminar, the student will be able to read a publication and summarise and present it.

Participation

Background on machine learning and deep learning is helpful.

Participation to the course requires attendance to the preliminary meeting (check the announcements below). 

The registration is performed through https://campusonline.uni-ulm.de.

The material of the course will be available at https://moodle.uni-ulm.de/

For further questions on the course, the students may contact the lecturer.