LECTURER: Paolo MISSIER, University of Birmingham, UK
SYLLABUS: The teaching offer is designed to fit within the context of Unimore’s PhD programs in Computer Science, Computer Engineering, and Math. It will consist of a series of topical seminars and practical lab sessions, for a total of about 16 hours, covering the following topics:
Part I: An overview of how Foundation Models and notably Language Models for Natural Language Understanding, are increasingly adapted and used in Healthcare applications. Relevant background on the core concepts in modern Deep Learning / AI methods will be provided (3 hours plus 1 hour “guided literature search”).
Part II:
– Data-Centric AI: concepts and examples including Data Cleaning in combination with model training; training set pruning; and finding explanations of model behaviour in the training data
– Towards transparency and accountability in Data-centric AI: a provenance-based approach (overview of work in progress)
(3 hours plus 1 hour “guided literature search”)
Part III: Data-centric and Responsible AI for health: concepts and aspirations. An overview of open challenges that are relevant in AI for healthcare (2 hours)

Wed April 3, 2024: Room M2.5 9:00 a.m. – 1:00 p.m.
Mon April 8, 2024: Room Laboratorio Zironi 9:00 a.m. – 1:00 p.m.
Tue April 9, 2024: Room M0.1 11:00 a.m. – 1:00 p.m.
Tue April 9, 2024: Room M2.5 2:00 p.m. – 4:00 p.m.
Wed April 10, 2024: Room M2.5 9:00 a.m. – 1:00 p.m.

More information available at this link.

PhD teaching: Scalable Data Processing for Data Science – Prof. Paolo Missier (University of Birmingham, UK)