Course Description
Principles and techniques underlying the design, implementation and evaluation of intelligent computational systems. Applications of artificial intelligence to natural language understanding, image understanding and computer-based expert and advisor systems. Advanced symbolic programming methodology.
Average difficulty
Average quality
This course is a step up from 322 because we actually get experience learning more up-to-date tools. But the system is lacking the in the sense that courses like 340 teach you a lot more, a lot quicker. But if you want a chill course take 422.
| Difficulty: | 3.5 | |
| Quality: | 3.5 |