CSC 84040: Advanced Data Mining with AI Agents / Fall 2026
Updates
- New Lecture is up: Final Project Presentations: Comprehensive Application of Course Concepts
- New Lecture is up: Advanced Topics: Human-Agent and Agent-Agent Coordination and Competition
- New Lecture is up: Reliability, Ethics, & Evaluation: Epistemic Honesty & Overcoming Dated Data Practices
- New Lecture is up: Knowledge Graphs & GraphRAG: Hierarchical Community Detection, ULTRA, & Inference
- New Lecture is up: Multi-Agent Scientific Discovery: Architecture of AI Co-Scientist Systems and Elo-based Tournament Evolution
- New Lecture is up: Item Response Theory & LBD: Ranking Text-Based Data, Swanson's ABC Model & Hypothesis Generation
- New Lecture is up: Data Optimization: Determining Data Requirements for Specific Optimization Problems & TimesFM
Course Description
This course bridges foundational large-scale data mining with modern agentic AI, autonomous decision-making, and automated scientific discovery. Students learn to mine massive datasets, evaluate data quality, reason about streaming systems, and design agent-driven workflows that can plan, iterate, and justify decisions.
Welcome to CSC 84040: Advanced Data Mining with AI Agents.
This site covers the Fall 2026 offering of the course and will be updated throughout the semester with the schedule, readings, project guidance, and course materials for large-scale data mining, agentic systems, and scientific discovery workflows.
