Business students with a keen interest in applying artificial intelligence (AI)-based tools in research often encounter a challenge: the need to enroll in separate programming courses that operate independently from their core curriculum. This creates an educational void, compelling our students to juggle the amalgamation of these two disciplines. This course addresses this gap by equipping students with the necessary skills to integrate applied AI with domain-specific data and knowledge in the fields of accounting and finance. Unlike conventional approaches that commence with programming training, this course begins by acquainting students with domain data, textual features, and use cases associated with these data. Relevant emerging technologies are then introduced along with use cases. Upon completing the course, students could be expected to apply AI and machine learning tools to generate and analyze unstructured financial data, such as conference call transcripts, press releases, annual reports, ESG, or other social media disclosures, product/operational images, and fund managers' disclosures. To enhance the learning experience, the textbook is complemented by a video library, featuring educational videos corresponding to each chapter, including tutorials on how to use the GPT API.
BUAC 758Y
AI Literacy: Business Data and AI Applications
Credits
2