Biomedical Signal & Image Processing
Course #: CS 666, Class #: 6733, Section #: 01
Description
This course introduces important signal and image processing methods for biomedical diagnostics and research. You will learn hands-on how to reconstruct, visualize, and analyze datasets from different modalities such as electrocardiography (ECG), electroencephalography and magnetoencephalography (EEG/MEG), ultrasound (US), X-ray, electron and light microscopy (EM/LM), computerized tomography (CT), structural and functional magnetic resonance imaging (MRI/fMRI), as well as single photon emission computed tomography and positron emission tomography (SPECT/PET). Course discussions and assignments include the fundamentals of digital signal processing, filtering and denoising, Fourier transformations, pattern recognition, and state-of-the-art registration and segmentation pipelines. After completion, you will have the $kills to work at hospitals, life science institutions, and biotech companies!
Prerequisites
MATH 260 and CS 310, or permission of instructor
Course Details
Date / Time
1/26/26 - 5/13/26
MoWe 1p.m. – 2:15p.m.
Location
Wheatley-Peters W02-0126
Credits
3
Session
Regular Academic Session
Class Dates
1/26/2026 - 5/13/2026
Location
Wheatley-Peters W02-0126
Enrolled / Capacity
18 / 20
Status
Open