Course Schedule and Catalog
Course Schedule - Fall Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 482 001 (CRN: 15517)
AI FOR HEALTH
Long Title: ARTIFICIAL INTELLIGENCE FOR HEALTH
Department: Electrical & Computer Eng.
Instructor: Sano, Akane
Meeting: 10:50AM - 12:05PM TR (24-AUG-2026 - 4-DEC-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisites: ELEC 378 OR DSCI 303 OR COMP 341
Section Max Enrollment: 40
Section Enrolled: 4
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 9
Enrollment data as of: 26-APR-2026 9:05AM
Final Exam: No Final Exam
Description: 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. Cross-list: ELEC 509. Mutually Exclusive: Cannot register for ELEC 482 if student has credit for ELEC 509.