Course on fundamental concepts at the core of artificial intelligence, as applied to health care problems. Topics included deep learning for clinical risk stratification, bias and fairness in clinical machine learning, and transformer models.

Course on computational methods for medical problems, focusing on data analysis and machine learning applications in healthcare.

Graduate-level course on biomedical data science leveraging genomic and phenotypic data for precision medicine..

Graduate-level course on biomedical data science leveraging genomic data for precision medicine.

Course on deep learning for biomedical applications, including neural networks, CNNs, and RNNs for medical data analysis.

Course on circuit analysis, electronic devices, and sensor transduction principles for undergraduate electrical engineering students.

Introductory electronics course on digital and analog concepts and hands-on circuit building for undergraduate students. Laboratory-based learning fostered practical understanding of electronic principles.