AIML 201 Artificial Intelligence and Machine Learning Basics

This course introduces foundational concepts, practical uses, and ethical considerations of artificial intelligence and machine learning. It explores common AI terminology through a brief historical overview, examines how machine learning fits within the broader field of AI, and analyzes everyday examples of how AI systems use data to identify patterns and make predictions. Through mini-case studies, current examples, and guided activities, students can consider the opportunities, limitations, and ethical concerns associated with AI use in academic, personal, and professional contexts. The course emphasizes practical application as students use an AI tool to support a student-life task while reflecting responsible and effective use. No prior experience with programming, data science, or advanced mathematics is required.