The AI Edge

4-0-8 units · Undergraduate

Presents methods and applications of data science, artificial intelligence, and generative AI. Covers the core toolkit of machine learning ¿ regularized regression and classification, time series, and tree-based methods ¿ and deep learning ¿ neural networks, transformers, large language models, and multi-modal AI. Follows a problem-driven approach using case studies in supply chains, finance, transportation, energy, healthcare, and digital platforms. Seeks to better understand the foundations underpinning the AI revolution. Includes a team project focused on designing an end-to-end AI solution and communicating results to technical and executive audiences. Prior familiarity with Python and foundational machine learning concepts recommended. Meets with 15.071 when offered concurrently. Students taking graduate version complete additional assignments.