Introduction to Artificial Intelligence and Analytics

Catalog description

This course provides an introduction to how AI, analytics, and data science tools can improve decision-making in business and organizations. Topics include machine learning, decision-making under uncertainty, generative AI, and AI agents. The course is application-oriented and emphasizes intuition over technical detail, helping students understand not only how different methods work, but also why they work and when they are useful. Through business examples and practical discussions, students will learn how to evaluate AI-driven opportunities, interpret model outputs, and think critically about the role of AI in organizational decision-making. To support learning, students will be provided with Python code and code snippets throughout the course, though no prior programming experience is required.