AI Applications in Business:
Insights from Corporate Data
Undergraduate & MBA · Instructor: Miao Liu
Machine Learning Unit
Introduces the core supervised learning framework — prediction, overfitting, regularization, decision trees, ensemble methods, neural networks and deep learning. Students apply these tools to real business datasets, building intuition for when and why ML outperforms traditional statistical approaches in accounting and finance contexts.
Large Language Models Unit
Covers the transformer architecture, attention mechanisms, and the emergence of large language models. Students learn to apply LLMs to corporate text data — earnings calls, analyst reports, and social media — exploring both the capabilities and limitations of AI-generated language in business and financial contexts.
Case studies coming soon.
Valuation Unit
Grounds students in the financial accounting and valuation foundations using LLMs as a co-pilot.
Vibe Coding Unit
An emerging unit on AI-assisted programming — using large language models as coding collaborators to build, prototype, and analyze business applications without traditional software engineering expertise.
Materials coming soon.