This course provides the opportunity to offer new topics in the subject of Creative Writing.

This course covers social, economic, political, and cultural dimensions of inequality both within and between countries. We will discuss how systems like slavery, colonialism, and capitalism have entrenched unequal power relations across the globe; how structures of inequality are produced, legitimated, and reproduced at national and international scales; and how individuals experience and negotiate these structures.

The course will not only teach the components of doing a transaction but also the skills necessary to negotiate effectively and work with legal partners. Agreement types important to the technology sector will be explored. Students will learn from readings, case studies, projects, and in-class discussions.

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

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

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.

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.

Provides overview of cyber security (CS) policies, laws, regulations, and ethical considerations that can be used to help protect and improve an organization's security posture. Explores related topics including ethics, CS policy requirements and controls, compliance, and implementation issues. Examines modern CS regulations and frameworks, and the various policies and procedures that may be used in an organization's security strategy.

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.

Moves deeper into current best practices around data engineering in industry. Topics will review basic data collection, ingestion, processing, and storage, moving beyond to data governance, security, pipeline orchestration, monitoring and maintenance, optimization, and documentation. Relies heavily on DevOps principles of automation, continuous improvement, and an understanding of the entire software/data lifecycle.