Chemistry and AI: high-throughput and machine learning approaches for the discovery of functional species
UNICAM – Università di Camerino
iSAS – International School of Advanced Studies
international – interdisciplinary – intersectoral
PhD course Chemical and Pharmaceutical Sciences and Biotechnology 2025
Chemistry and AI:
high-throughput and machine learning approaches for the discovery of functional species
April, 11 9-13 ChIP
AI-Powered Chemistry
April, 24 15-17 ChIP
Machine Learning and Data Science. Mathematical Background
May, 9 14-17 ChIP
Introduction to Python. Python and Libraries for ML
May, 15 14-18 ChIP
Unsupervised Learning (Part 1)
Supervised Learning
May, 16 14-18 ChIP
Unsupervised Learning (Part 2)
Introduction to Neural Network
May, 22 14-19 ChIP
Neural Network and Deep Learning
May, 23 14-19 ChIP
Bioinformatics applications. Prediction of chemical-physical properties of molecules
May, 30 15-19 ChIP
Quantitative structure activity relationship and Ligand-target interaction simulation
Total 30 h
Teachers: Michele Loreti, Michela Quadrini, Diego Dal Ben
Responsible for the Activity: Claudio Pettinari
Remote connection will be possible at the teachers’ webex rooms
