BMES-5554: Imaging and Computing in Medicine
Description: Introduction to computing, processing, programming, and simulation fundamentals applications within medicine. Mathematical theory underlying signal processing, including Fourier transforms, sampling, quantization, correlation, and filtering. Segmentation techniques for imaging processing. Computational modeling including finite element modeling, computational physiology, and complexity and systems medicine. Data science , artificial intelligence, and deep learning applications in medicine. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 1
Average GPA: 3.83 (rounds to A-)
Strict A Rate (No A-) : 66.70%
Average Withdrawal Rate: 0.00%
| Caitlyn J Collins | 2024 | 86.7% | 13.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.83 | 1 |