ECGR 6119: Appl Artificial Intelligence
University of North Carolina, Charlotte
The theory of machine intelligence. Computational methods for modeling machine intelligence including machine vision and automatic decision making from sensor measurements. Applications of this theory to autonomous robotic decision making such as navigation and industrial quality control. Credit will not be given for ECGR 6119 where credit has been given for ECGR 8119.
Average GPA: 3.54
Grade distribution records: 55 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 33 | 60.0% |
| B | 14 | 25.5% |
| C | 5 | 9.1% |
| W | 1 | 1.8% |
Based on 55 student grade records across 6 terms and 3 professors.
Instructors
- Andrew Willis 22 students, Average GPA 3.10
- Chen Chen 17 students, Average GPA 3.87
- Minhaj Nur Alam 16 students, Average GPA 3.75