ECE-4524: Artificial Intelligence and Engineering Applications
Description: Problem solving methods; problem spaces; search techniques; knowledge representation; programming languages for AI; games; predicate logic; knowledge-based systems; machine learning; planning techniques; reactive systems; artificial neural networks; natural language understanding; computer vision; robotics.
Pathways: N/A
Course Hours: 4 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 11
Average GPA: 3.07 (rounds to B)
Strict A Rate (No A-) : 24.79%
Average Withdrawal Rate: 2.62%
| Amos L Abbott | 2024 | 27.8% | 39.5% | 20.2% | 5.8% | 3.0% | 3.6% | 2.86 | 4 |
| Ruoxi Jia | 2023 | 43.8% | 42.1% | 10.4% | 1.1% | 0.8% | 1.8% | 3.31 | 4 |
| Thidapat Chantem | 2024 | 26.3% | 44.0% | 20.4% | 5.1% | 3.4% | 0.8% | 2.89 | 2 |
| Mark T Jones | 2021 | 46.4% | 33.4% | 12.5% | 1.5% | 0.8% | 5.4% | 3.30 | 1 |