CAS BI 587
AI in Biology
Prerequisites: molecular biology or biochemistry (e.g., CASBI/CH 421, CASBI 203 and CASBI 206 or equivalent), as well as a mathematics or statistics course (or consent of instructor). A basic understanding of computer programming is recommended, and coding experience (in e.g., R, Python) will help speed learning in the course. - AI in Biology introduces machine learning and deep learning for multi-omics exploration, biological image analysis, and AI-assisted scientific writing. Students will create their own AI frameworks, applying Python-based workflows on BU computing resources, to develop strong conceptual understanding and practical skills in model evaluation, interpretability, and ethical use of AI tools.
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- AI in Biology