• UNST 2810

    Introduction to Academic Research
     Rating

    1.33

     Difficulty

    1.00

     GPA

    Last Taught

    Fall 2025

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

  • UNST 2811

    Introduction to Academic Research Part II
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

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

  • EBUS 2850

    Government and Entrepreneurship
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

    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.

  • SEC 3020

    Cyber Security Policy, Law, and Ethics
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

    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.

  • DS 3021

    Analytics I: Foundations of Machine Learning
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

    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.

  • DS 3022

    Data Engineering
     Rating

     Difficulty

     GPA

    Last Taught

    Fall 2025

    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.

  • DS 3025

    Mathematics for Data Science
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

    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.

  • GCCS 3100

    Studying Global Commerce
     Rating

     Difficulty

     GPA

    Last Taught

    Fall 2025

    This is one of the two introductory core courses in the GCCS major. It surveys academic research on topics that are salient to contemporary global commerce: the global and the local; illicit trade; the body across borders; global labor; technology and digital infrastructures; trade and physical infrastructures; companies and climate change; global economic governance; and social goals in the international division of labor.

  • GSVS 3160

    The Politics of Food
     Rating

     Difficulty

     GPA

    Last Taught

    Summer 2025

    How and what we eat is basic to who we are as individuals, as a culture, and as a polity. This course looks at the production and consumption of food in a political context, focusing on controversies over agricultural subsidies, labeling requirements, taxation, farming practices, food safety, advertising and education.

  • LPPS 3220

    Big Tech, Society, and Public Policy
     Rating

     Difficulty

     GPA

    Last Taught

    Spring 2025

    Through a mix of case studies, official documents, and online media, this course provides a deeper dive into: (1) the industries we now call "Big Tech," (2) the policy landscape that both influences and is influenced by technology innovation, as well as (3) the business and cultural challenges at this intersection of technology and policy.