Home

Welcome to the website!

Lectures

1. Lecture Notes on Artificial Intelligence - Introduction
2. Lecture Notes on Artificial Intelligence - Lecture 2: Definitions, Roots, and History
3. Lecture Notes on Artificial Intelligence - Lecture 3
4. Lecture 4: Search in Artificial Intelligence
5. Lecture 5: Search Algorithms
6. Lecture 6: Search in Artificial Intelligence
7. Lecture 7: Adversarial Search, Knowledge-Based Agents, and Introduction to Logic
8. Lecture 8: Logic in Artificial Intelligence
9. Lecture Notes on First-Order Logic for Artificial Intelligence
10. Lecture 10: Knowledge Engineering, Semantic Networks, and CLIPS
11. Lecture 11: Reasoning Under Uncertainty
12. Lecture 12: Philosophical and Ethical Aspects of Artificial Intelligence
13. Lecture Notes: Retrieval-Augmented Generation and Recommendation Systems
14. Introduction to Artificial Intelligence
15. Neural Network Fundamentals
16. Lecture Notes on Neural Networks: Loss Functions, Multiclass Classification, and CNNs
17. Introduction to Recurrent Neural Networks and Generative AI
18. Lecture Notes on Advanced Topics in Language Models and Machine Learning
19. Lecture Notes on Decision Trees and Ensemble Methods
20. Introduction to Reinforcement Learning
21. Lecture Notes on Reinforcement Learning - Policy and Q-Learning
22. Deep Q-Learning: From Q-Tables to Neural Networks