Flexible course hours that supplement an existing course or provide advanced training in a particular area of writing, rhetoric, or digital studies. This course is a Graduation Composition and Communication Requirement (GCCR) course in certain programs, and hence is not likely to be eligible for automatic transfer credit to UK.

In this course students will learn about the rhetorical constraints and affordances of oral history as a mode of historical preservation and cultural production.

Study in advanced topics in professional and technical writing. Special emphasis on theoretical and practical issues in professional and technical writing.

Study of technical editing and methods relevant for professional editing, including drafting, editing, and proofreading.

This eight week course introduces students enrolled in the online Graduate Certificate in Professional and Technical Writing to algorithms, natural language processing models, and large language models that have shaped (and continue to shape) communication with generative artificial intelligence programs (AI). The course draws from theories of rhetoric to explore ways in which AI may be used to complement writing in a variety of genres and in a variety of contexts, with emphasis on the ethical implications of using AI in professional and technical communication.

Designed for students undertaking special studies to be conducted in regular consultation with instructor. May be repeated to a total of 12 credit hours.

This course provides professional socialization for PhD students in accountancy. Topics include research, teaching, and service, transition, preparation for a career as a professor, and special research topics, including lectures by noted scholars.

An advanced seminar on selected topics such as cross- disciplinary research on behavioral decision-making, research using archival data, and analytical models in accounting. May be repeated to a maximum of eighteen credits.

This course is an introduction to the use of analytical modeling for supporting decision making in accounting, taxation, and auditing. It explores the use of analytical models and technologies including data mining and descriptive, predictive, and prescriptive modeling.

This course provides an introduction, to, and hands-on experience with, accounting data management, accounting analytics, and visualizing accounting data. By learning both practical software tools and the core principles of data management and data visualization, you'll be prepared to leverage accounting data to provide insights into important accounting, auditing, and taxation problems.