EGE 44203 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (3)

This course introduces Artificial Intelligence (AI) and Machine Learning (ML), covering fundamental concepts, algorithms, and applications. Students will explore both classical AI techniques such as search algorithms, back propagation, knowledge representation, and reasoning and modern machine learning approaches, including supervised and unsupervised learning, deep learning, and reinforcement learning. The course will cover key machine learning algorithms such as linear regression, decision trees, support vector machines, neural networks, and clustering techniques.