This course is intended for participants in the Undergraduate Student Opportunities in Academic Research (USOAR) program.

An introduction to concepts innovators use to solve problems and create value by addressing unmet needs. Learn how to identify and evaluate opportunities and use proven entrepreneurial frameworks to create new products and businesses for companies of all sizes. Through class activities, projects, and presentations you will learn how storytelling, teamwork, and leadership skills are essential for starting, funding, and building your business. Prerequisite: EBUS 1800

The course explores government contracting, how the government procures products and services, and opportunities created through government regulation. Pre-requisite: STS 1500 or ENGR 1020 or ENGR 2595-Engineering Foundations II.

Provides a global perspective on cyber security and the impact of cyber threats. Addresses a variety of topics that are all part of the cyber ecosystem, to include current threat trends, defense in-depth techniques, attack case studies, risk management, disaster recovery, security policy, and awareness training. Examines current best practices, compliance requirements, and evolving security architectures.

This advanced-level Turkish course explores the rich culinary heritage of Turkey, focusing on its diverse regions, historical influences, and the role of food in cultural identity. Students will gain an understanding of how Turkey's cuisine reflects its multicultural past and present, blending flavors from the Ottoman Empire, Central Asia, the Middle East, and the Mediterranean.

Exposes students to foundational knowledge in the area of analytics, especially as it relates to machine learning. The focus is on methods needed to prepare data for machine learning models, how to evaluate the output of ML models and engineering features.

Engage with and train in the use of key concepts in machine learning and math: OLS estimator for regression; logistic regression & maximum likelihood estimator; multiple linear regression; principal components analysis & multiple correspondence analysis; neural networks; logarithms; probability distributions; integrals; multivariate optimization; matrix notation, eigen-math, and matrix decomposition; infinite power series & Taylor series.

Explore mathematical foundations of inferential and prediction frameworks, with emphasis on computation, used to learn from data. Frequentist, Bayesian, and Likelihood viewpoints are all considered. Topics: principles of estimation, optimality, bias, variance, consistency, sampling distributions, estimating equations, information, bootstrap methods, ROC curves, shrinkage, large sample theory, prediction optimality versus estimation optimality.

Develops strong writing competencies for technical fields, including communication of complex information to a variety of audiences through various print and online media. Teaches students to write, organize, edit, and design information with clarity and accuracy. Covers organizing, managing, communicating, and facilitating technical information. Topics include conciseness, simplicity, information arrangement, presentation, and readability.

Provides an overview of the laws governing healthcare institutions and the ethical dilemmas facing healthcare managers and providers; reviews ethical principles utilized to examine health care issues. Evaluates the procedures followed by healthcare organizations in making legal and ethical decisions; addresses such contemporary issues as cloning, euthanasia, and organ donation. Prerequisite: Admission to BPHM or BIS program.