200

An introductory study of statistical methods as applied to business and economic problems. Topics covered include: frequency distributions, measures of central tendency, measures of dispersion, probability, probability distributions, sampling distributions, estimation, and statistical inference. Note: Credit for at most one of the following courses may be applied towards a student's requirements for graduation: BUAD 200, ECON 200, EDU 200, POLI 200, SOC 200, and STAT 200.

This comprehensive course introduces fundamental aspects of financial literacy. Students gain practical insights and tools for a solid understanding of essential business principles and the ability to make informed financial decisions.

The highly practical course focuses on the critical communication skills involved in effective written and oral communication while emphasizing applications of communication concepts in the world of business. Students will be able to engage in application exercises, build their exploratory skills, and confront problems of diversity.

Topics in Business Administration not covered in detail by regular courses and not offered on a regular basis.

This course familiarizes students with methods for acquiring, analyzing and presenting business intelligence. It explores approaches for solving business problems by using operational data and applying various tools and analytics to gain insight, acquire knowledge, and attain goals. The students will be acquainted with software-assisted decision-making processes, giving them an advantage in the competitive business arena. The classes will be a blend of theory, practical data explorations, and software use.

The course explores the social, cultural, ethical, and institutional dimensions of artificial intelligence using social science perspectives. Students examine how AI shapes human behavior, organizations, and society - and how social values, power structures, and global contexts influence the development and use of emerging technologies. Through inquiry‑based learning, case studies, role play, and creative problem‑solving, students learn to analyze AI’s impacts and imagine responsible futures.