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: 24
Average GPA: 2.86 (B)
Strict A Rate (No A-) : 24.82%
Average Withdrawal Rate: 2.38%
| Chris L Wyatt | 2018 | 33.4% | 34.8% | 13.1% | 5.0% | 11.3% | 2.3% | 2.74 | 9 |
| Amos L Abbott | 2024 | 25.2% | 34.6% | 25.7% | 7.8% | 4.1% | 2.6% | 2.73 | 9 |
| Ruoxi Jia | 2023 | 43.8% | 42.1% | 10.4% | 1.1% | 0.8% | 1.8% | 3.31 | 4 |
| Thidapat Chantem | 2023 | 23.7% | 33.9% | 30.5% | 6.8% | 5.1% | 0.0% | 2.72 | 1 |
| Mark T Jones | 2021 | 46.4% | 33.4% | 12.5% | 1.5% | 0.8% | 5.4% | 3.30 | 1 |