ECE-5454: Optimization Techniques for Electrical and Computer Engineering
Description: Convex optimization theory and algorithms and their application to electrical and computer engineering. Sparse optimization methods, eigen-decomposition techniques, the expectation-maximizing algorithms, stochastic optimization techniques, and special techniques relevant to large-scale optimization.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 16
Average GPA: 3.89 (A)
Strict A Rate (No A-) : 73.21%
Average Withdrawal Rate: 0.00%
| Shuxiang Yu | 2023 | 96.3% | 3.2% | 0.0% | 0.5% | 0.0% | 0.0% | 3.89 | 16 |