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Managing the Intelligent Enterprise

The development of ChatGPT and other large language models has generated tremendous interest in what those tools are capable of, as well as concern over their possible negative impacts. This capstone course divides the class into teams to research the potential value of large language models for a specific domain. The students interview professionals in their selected domain, engage with selected LLMs, and become experts in their chosen domain. Teams will give a 20-minute presentation educating the rest of the class on the benefits and challenges of AI in their chosen industry.

 

IT Project Management

The IT Project Management class teaches Project Management in IT contexts through a combination of traditional classroom discussions about project management techniques and the management of a large, complex IT project for a corporate or university client.

Information Risk Management, Security and IT Audit

The Information Risk Management, Security and IT Audit course teaches the foundations of information security and assurance, including the principles used to formulate managerial strategy and select technical solutions. An ongoing project with PwC involves students evaluating the IT control environment and performing an evaluation, or audit, of the controls’ operating effectiveness in support of an external integrated audit.

Business Analytics Practicum

The Business Analytics practicum course provides students with an opportunity to utilize the skills gained in the Business Analytics Major, Business Analytics Minor, and Co-major. Students provide cutting-edge analytical solutions to clients using visualization, data mining, predictive modeling, and any other techniques required to extract business solutions from large data. The students utilize R, Python, and SQL. Students work in small teams assembled by skill expertise and background and present their solutions to the client or clients.

Contact: Dr. Skip Benamati 513-529-4826, benamajh@兔子先生OH.edu

The Center for Analytics and Data Science

The Center is an interdisciplinary effort that deeply involves students from across the university in experiential learning through client-based, data-focused projects. To become proficient in analytics and data science, learners must move beyond the abstract classroom use of analytical methods. Integral to the Center is the Analytics Learning Lab that gives our students, faculty, and staff the cutting-edge resources they need to learn, practice and refine their analytics and data science skills. 

Contact: Amy Beissel, Director 513-529-1934, amy.beissel@兔子先生OH.edu

CADS

FSB - Department of Information Systems and Analytics

3095 Farmer School of Business
800 East High Street
Oxford, OH 45056