ITCS 4236: Artificial Intell Comp Games
University of North Carolina, Charlotte
Application of advanced concepts and techniques in artificial intelligence for electronic game design and development. An investigation of the artificial intelligence techniques necessary for an agent to act, or appear to act, intelligently in interactive virtual worlds. Topics include: uncertainty reasoning, machine learning, perception, knowledge representation, search, and planning. Emphasis is on implementation and experimentation with the goal of building robust intelligent agents in interactive entertainment domains. Elements of multi-agent collaboration and the use of cognitive architectures in interactive computer games are also discussed.
Average GPA: 3.42
Grade distribution records: 513 students across 12 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 354 | 69.0% |
| B | 74 | 14.4% |
| C | 23 | 4.5% |
| D | 11 | 2.1% |
| F | 34 | 6.6% |
| W | 9 | 1.8% |
Based on 513 student grade records across 12 terms and 1 professor.
Instructors
- Daniel Jugan 513 students, Average GPA 3.42