Applied Computational Biology in Agricultural Science

[0.50] credits · Graduate

This course examines the role of computational biology in advancing agricultural practices and crop improvement. Students explore various multiomics analyses such as genomics, phenomics, artificial intelligence, data integration techniques, and computational tools essential for modern agriculture. Through both theoretical and practical approaches, the course prepares students to tackle modern agricultural challenges using computational biology methods.