IEOR E4213
AI and Algorithms for Analytics
This course explores modern artificial intelligence (AI) algorithms and methods for analytics and operational decision-making. Students will develop a conceptual and methodological understanding of AI tools, with an emphasis on their applications to domains such as healthcare, finance, energy systems, and logistics. Topics include machine learning, neural networks, large language models, reinforcement learning, multi-agent systems, and agentic systems.
Topics
- machine learning
- neural networks
- large language models
- reinforcement learning
- multi-agent systems
- and agentic systems
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisites: IEOR E2000 (or sufficient coding background in Python); IEOR 3608 (or CSOR 4231 Analysis of Algorithms I); IEOR E3658 (or another probability course); IEOR E4212 (or machine learning background from other courses
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- AI and Algorithms for Analytics · 3.00 points · University catalogue