Advanced machine learning and deep learning techniques for Medicine

ABSTRACT

Dive deep into the intersection of mathematics, physics, engineering, computer science, and Medicine with this course tailored for engineers, physicists, computer scientists, mathematicians. Learn how to develop cutting-edge solutions using machine learning and deep learning techniques for medical data. Gain hands-on experience in building AI-driven healthcare systems and contribute to the future of the technology in Medicine.

SCHEDULE

• 12th July, 9am-11am
• 19th July, 9am-1pm
• 26th July, 9am-1pm
• 4th September, 9am-12pm
• 11th September, 9am-11am

This course is part of the training provided for IBES PhD Students in the academic year 2023/2024.

Those who succesfully attend and complete the course:

• are eligible for max. 3 credits if they are enrolled in cycle 37;
• gain 15 attendance hours of the IBES training for the Bioengineering (BIO) curriculum if they are enrolled in cycle 38 and 39.

Check the links above for further information about the specific academic requirements for each cyle and how to comply with them.