Introduction to Artificial Intelligence:
- Definition and history of AI
- AI applications and impact on society
Problem Solving and Search:
- Problem-solving techniques
- Uninformed search algorithms
- Informed search algorithms
Knowledge Representation and Reasoning:
- Propositional and first-order logic
- Representing knowledge using rules and frames
- Inference and reasoning methods
Machine Learning Fundamentals:
- Introduction to machine learning
- Supervised, unsupervised, and reinforcement learning
- Evaluation and performance metrics
Machine Learning Algorithms:
- Linear regression
- Logistic regression
- Decision trees
- Neural networks and deep learning
