Applied AI for Advanced Analytics begins with the foundations of artificial intelligence, including neural networks and large language models (LLMs), before focusing on applications of modern AI tools to business. Students learn to adapt LLMs to specific organizational needs through prompt engineering, context engineering, tool use, retrieval, and fine-tuning. They gain hands-on experience using Python, Jupyter, VS Code, Codex, and Claude Code to develop AI-enabled analytics workflows and applications. The course also introduces best practices for orchestrating and managing teams of specialized AI agents, including how to assign tasks, coordinate workflows, evaluate outputs, and maintain human oversight. Finally, students examine how to integrate AI into enterprise environments while protecting private data, meeting governance and compliance requirements, and ensuring reliable, high-quality work through systematic testing, evaluation, monitoring, and safeguards against hallucinations and AI-generated workslop.
Financial Analytics is a graduate course that applies statistical modeling and computational tools to financial data and decisions. Students learn to quantify uncertainty, evaluate forecasts and portfolios, and analyze financial risk. Through hands-on work, they use data-driven methods to compare alternatives and test the robustness of their conclusions. The course emphasizes translating technical results into clear, evidence-based recommendations for business audiences.
Quantitative Finance is an applied undergraduate course that integrates finance, statistics, and software around a central challenge: measuring, pricing, and hedging risk. Students analyze historical returns and tail risk, build and optimize portfolios, and study the mechanics of derivatives. They use simulation to evaluate financial decisions under uncertainty and to examine how modeling assumptions affect results. The course emphasizes reproducible analysis, economic interpretation, and clear communication of quantitative evidence.
Corporate Finance is an introductory undergraduate course focused on how firms evaluate investments and financing choices. Students develop fluency with the time value of money, capital budgeting, and the relationship between risk and return. They examine the cost of capital, capital structure, and the tradeoffs managers face when allocating resources. The course combines core financial theory with practical decision-making and quantitative analysis.
Undergraduate Program
Teaching Assistant, PhD Program
Executive MBA
Instructor, Undergraduate Program
Teaching Assistant, Undergraduate Program