BANA 3308. INTRODUCTION TO AI FOR BUSINESS APPLICATIONS. 3 Hours.

This course focuses on data preprocessing, feature engineering, and machine learning algorithms. In addition to covering popular supervised machine learning algorithms such as KNN, Linear and Logistic Regression, Naïve Bayes, Trees and Ensembles, and Support Vector Machines, the course provides practical insight into contemporary unsupervised learning techniques used for clustering and market basket analysis. Prerequisite: BSTAT 3321 and INSY 3300.

BANA 3309. DATA VISUALIZATION AND BUSINESS INTELLIGENCE. 3 Hours.

This course introduces students to cutting-edge techniques for visualizing data and creating dashboards to facilitate data-driven decision making. Topics include fundamentals of SQL, preprocessing of data, examining principles and concepts underlying visual characteristics of data, exploring graphs and charts to draw insight from data, assessing the quality of datasets, and performing exploratory analysis. Creating dashboards and storytelling to communicate business insight will also be emphasized. Prerequisites: BSTAT 3321 and INSY 3300.

BANA 4308. ADVANCED AI FOR BUSINESS APPLICATIONS. 3 Hours.

This course provides an in-depth understanding of advanced machine learning concepts. Students will receive training on Artificial Neural Networks (ANNs) and deep learning models. Deep learning techniques for analyzing tabular data, images, and text will be emphasized. Advanced architectures, such as transformers, will also be covered. Prerequisite: BANA 3308 and BANA 3309.

BANA 4311. ETHICS OF ARTIFICIAL INTELLIGENCE APPLICATIONS. 3 Hours.

This course discusses ethical concerns and social issues related to the creation, storage, analysis, use, and dissemination of data arising from business applications of machine learning, artificial intelligence, predictive analytics and data science. Topics include fairness, validity, anonymity, privacy, ownership, human subject research and societal consequences of data analysis and use by business organizations. Prerequisite: BANA 3308.

BANA 4326. CAPSTONE FOR AI IN BUSINESS. 3 Hours.

This course covers advanced analytics techniques, such as Natural Language Processing, Deep Learning, and Reinforcement Learning. It also provides students an opportunity to apply their analytics skills to solve a real-world problem and present the efficacy of their solution from a business perspective. Communication and presentation skills will be emphasized. Prerequisite: BANA 4308.

BANA 4331. SEMINAR IN AI FOR BUSINESS. 3 Hours.

The course uses a combination of hands-on activities and readings to equip students with the skills required to be successful in the field of Artificial Intelligence (AI). In addition to covering the practical applications of Generative AI and Large-Language Models (LLMs), the course will examine the business value of emerging topics in AI. It may be repeated for credit with the consent of the department. Prerequisite: BANA 4308 or consent of instructor.

BANA 4382. INDEPENDENT STUDIES IN AI AND BUSINESS ANALYTICS. 3 Hours.

Independent and directed study of a topic in AI and business analytics.

BANA 4392. SPECIAL TOPICS IN AI AND BUSINESS ANALYTICS. 3 Hours.

In-depth study of special topics in AI and business analytics. May be repeated when topics vary.

BANA 4393. BUSINESS ANALYTICS INTERNSHIP. 3 Hours.

The course will allow students to apply analytics concepts and principles to problems in a real-world setting. The course may be used as an advanced business elective only and will be graded on a pass/fail basis. No credit will be given for previous experience or activities. The course may not be repeated for credit. Prerequisites: Junior standing and consent of department internship advisor.