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.
Activities: Direct - Lecture, Direct - Seminar, Direct - Project, Direct - Discussion, Student - Lecture, Student - Seminar, Student - Project, Student - Independent Study, Student - Discussion
Quarter(s) Offered: Spring
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this a web-based online course? No
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