AI Ready Tools

Accounting ACCT 3220 is a 3-credit undergraduate course that examines computer-based accounting systems, including systems design, transaction processing, internal controls, auditing information systems and system security. AI is introduced through examples of automated transaction coding, fraud detection, continuous auditing, cybersecurity monitoring and intelligent internal-control testing. Students would also consider the risks of relying on AI when accounting data are inaccurate, biased or insufficiently protected.

BUS 4990 AI Tools and Techniques: Most people top out at using AI as a chatbot. This course explores everything beyond that. Students will learn to direct AI, build with it and decide what is worth building. They can start from zero or bring technical experience as they create a personal AI operating system, deploy projects and respond to a real business constraint.

Finance FIN 4980 brings together students from finance, computer science, economics and statistics to apply artificial intelligence, including natural-language processing and large language models, to real-world problems in finance and real estate. Student teams define research questions, analyze large datasets, build and validate models and present their findings. The course gives students experience using AI as both a research tool and a subject of financial analysis.

Graphic Communications GC 4440 is an advanced course that examines technologies that influence graphic communication processes and equipment choices. Topics include color theory, electronic color scanning, digital prepress, communications systems and gravure color-quality control. AI is used to analyze color and production data, identify quality problems, compare workflow alternatives and explore emerging developments in automated prepress and print production.

Economics ECON 4050 is a 4-credit undergraduate course that introduces students to the quantitative analysis of economic data. Topics include probability, data management using statistical software, multiple regression, hypothesis testing, multicollinearity, heteroskedasticity and serial correlation. AI is used to assist with data cleaning, coding, visualization and explaining regression results, but students must verify that AI-generated code and interpretations are statistically correct.

Marketing MKT 4500 applies marketing concepts to managerial problems involving product development, pricing, advertising, personal selling, distribution channels and international marketing. AI is used for research triangulation, allowing students to gather and compare evidence from multiple sources before making strategic recommendations. Students also use AI to develop marketing plans for international product launches and to create simulations of packaging, point-of-purchase displays and both traditional and digital advertisements.