Machine Learning in Bioengineering. 3 credits, 3 contact hours

Catalog description

This course will provide a comprehensive, hands-on introduction to machine learning (ML) with a special focus on its transformative applications in bioengineering. Students will build a strong foundation in ML theory and algorithms, then progressively apply these concepts to real-world problems in bioengineering, such as medical image analysis, biosignal processing, and clinical decision support. The course will emphasize the unique challenges and opportunities of biomedical data (including high dimensionality, noise, probability and interpretability) while integrating the latest advances in deep learning, multimodal data fusion, and explainable AI. Through weekly labs using real world medical images, students will gain practical experience in developing, evaluating, and deploying ML solutions for modern healthcare and bioengineering challenges.