Subject: Bioengineering
Course Number: 245
Course Title: Machine Learning Algorithms for Medical Imaging
Min units: 3      Max units: 4
School: Graduate Division
Department: Bioengineering Program

Course Description: The goal of this course is for students to understand various machine learning algorithms that are used in brain imaging, and to gain hands-on experience using them in student projects, homework, and student-driven class-presentations. Common machine learning algorithms used for MRI, fMRI, EEG, MEG, and ECOG, will be the focus of the course.
Prerequisites: Calculus, linear algebra, undergraduate physics (electromagnetism), or consent of instructor.
Restrictions: None.
Activities: Direct - Lecture, Direct - Seminar, Direct - Project, Direct - Discussion, Student - Lecture, Student - Seminar, Student - Project, Student - Independent Study, Student - Discussion

Instructor of Record: S. Nagarajan
Additional Instructor(s): Y. Yang, A. Raj
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Winter, Spring
Course will not be offered in: Spring 2025
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No