ARTIFICIAL INTELLIGENCE (2 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: Describe what is AI and identify concept of intelligent agent; Explain how to use knowledge representation in reasoning purpose; Demonstrate the AI learning process; Apply how to process other perceptual signs in order that an agent can interact intelligently with the world.

Topics:

1. Introduction to Artificial Intelligence;
2. Logical Agents;
3. First Order Logic (FOL) & Inference in FOL I;
4. First Order Logic (FOL) & Inference in FOL II;
5. Knowledge Representation;
6. Quantifying Uncertainty;
7. Representation Knowledge in an Uncertain Domain;
8. Learning from Examples;
9. Knowledge in Learning;
10. Introduction to Neural Network;
11. Neural Network Architecture;
12. Introduction to Computer Vision;
13. Perception.