AI Finance: Financial Management represents a paradigm shift in financial management education. Rather than training students to compete with AI in analysis, this textbook teaches them to build financial solutions with AI as a collaborator, applying the DRIVER(R) Framework (Define & Discover, Represent, Implement, Validate, Evolve, Reflect) throughout.
The curriculum spans foundational corporate finance concepts-from financial statements and time value of money through capital budgeting, securities valuation, and business valuation-while integrating Python coding, AI-powered problem-solving, and systematic product development.
Students build three progressive mini-projects and a capstone innovation project, creating a portfolio of working financial applications rather than theoretical exercises. The textbook is classroom-tested at Purdue University with multiple sections serving 200+ students.
This textbook prepares students for careers where AI handles routine analysis by emphasizing survival skills: building financial tools, understanding market dynamics, managing capital allocation, and operating AI systematically. The integration of real-world case studies (Apple, Tesla, Netflix, WeWork), hands-on Python labs, and video-based assessment ensures authentic learning and career readiness for modern finance roles.
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