ARTIFICIAL INTELLIGENCE FOR HEALTH
This course introduces the latest artificial intelligence technology for healthcare. The class materials focus on methods, systems, applications, challenges, and ethical considerations. Through lectures, discussions, case studies, assignments, and hands-on projects, students will gain a comprehensive understanding of AI technologies in healthcare, from medical imaging and clinical decision support to population health management and drug discovery. Additionally, the course will include discussions about ethical, legal, and social implications of AI and its potential applications in healthcare. Graduate/Undergraduate Equivalency: ELEC 509 . Mutually Exclusive: Cannot register for ELEC 482 if student has credit for ELEC 509 .
Prerequisites & course information
Short Title: AI FOR HEALTH Department: Electrical & Computer Eng. Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ELEC 378 or DSCI 303 or COMP 341
Sources
- Course catalogue ↗2026–2027