Machine Learning

Catalog description

PREREQUISITES: AAIT 110 - Artificial Intelligence Essentials and SDEV 120 - Computing Logic PRE/COREQUISITES: COREQUISITES: DESCRIPTION: This course introduces key methodologies in machine learning (ML), emphasizing how each technique aligns with real-world problem domains and use cases. Students will explore how machine learning differs from traditional heuristic approaches to Artificial Intelligence (AI) and examine core paradigms such as classification, regression, clustering, and reinforcement learning. Throughout the course, attention is given to the human and ethical dimensions of data collection, transformation, and model training, ensuring students understand both the technical and responsible practice of machine learning.