BIOTECHNOLOGIES AND APPLIED ARTIFICIAL INTELLIGENCE FOR HEALTH
Corso di laurea magistrale
Piano di Studi
Curricula:
Engineering
Primo anno
Artificial Intelligence I (6 cfu)
Advanced Biochemistry (6 cfu)
Biology of Cellular Systems (6 cfu)
Genetics and Molecular biology (12 cfu)
Artificial Intelligence II (6 cfu)
Physio-pathology (6 cfu)
Biotechnology applied to sense physiology (6 cfu)
Microbiology and public health (12 cfu)
Thesis (21 cfu)
Cell signaling and imaging tools (6 cfu)
Bioengineering and Experimental Models in Health and Disease (6 cfu)
Omics: Biotechnology and AI for health (6 cfu)
Job placement activities (3 cfu)
Internship (6 cfu)
12 cfu a scelta nel gruppo Elective classes
- To be chosen among
Focused Lab training (6 cfu)
The Law and Ethics of A.I.-driven biomedical innovation (6 cfu)
Metagenomics (6 cfu)
Molecular Genetics and Molecular Medicine in the AI-era (6 cfu)
Artificial Intelligence I (6 cfu)
Physio-pathology (6 cfu)
Biotechnology applied to sense physiology (6 cfu)
Advanced Biochemistry (6 cfu)
Probability and Biostatistics (6 cfu)
Bioinformatics in silico models (12 cfu)
Artificial Intelligence II (6 cfu)
Smart materials and sensors (12 cfu)
Cell signaling and imaging tools (6 cfu)
Bioengineering and Experimental Models in Health and Disease (6 cfu)
Omics: Biotechnology and AI for health (6 cfu)
Job placement activities (3 cfu)
Thesis (21 cfu)
Internship (6 cfu)
12 cfu a scelta nel gruppo Elective classes
- To be chosen among
Focused Lab training (6 cfu)
The Law and Ethics of A.I.-driven biomedical innovation (6 cfu)
Metagenomics (6 cfu)
Molecular Genetics and Molecular Medicine in the AI-era (6 cfu)