Lecture Slides

0. Course admin (pdf)

1. The Emergence of Intelligent Machines (pdf)

2. History and Milestones (pdf)

3. Problem Solving and Search: Uninformed Search (pdf)

4. Informed Search (pdf)

5. Agent Systems: Adversarial Search (pdf)

6. Local Search (pdf)

7. Knowl. Repr. and Reasoning: SAT encodings (pdf)

8. Knowl. Repr. and Reasoning: Entailment and Proof Theory (pdf)

9. Knowl. Repr. and Reasoning: Inference (pdf)

10. Knowl. Repr. and Reasoning: First-Order (pdf)

11. Big Picture slide (pdf)

12. Intermezzo: Reflections on semantics, NLP, commonsense, and deep learning (pdf)

13. Machine Learning: Intro & Decision Trees (pdf)

14. ML: Generalization & Overfitting (pdf)

15. ML: Neural Nets intro (pdf)

16. ML: Neural Nets --- Perceptrons (additional) (pdf)

17. ML: Neural Nets --- Backpropagation (pdf)

Homeworks

• Hwk. #1

• Hwk. #2

• Hwk. #3

• Hwk. #4