• CGBM 2310

    Marketing Principles: Goods, Services and Brands
     Rating

     Difficulty

     GPA

    3.63

    Last Taught

    Spring 2026

    This is an introductory course focusing on the "4Ps of marketing" from a marketing strategy perspective. It will encompass decisions regarding Product, Price, Promotion, and Place such that a firm's offerings meet a specific consumer need, demand, or want. This includes a strong consideration of consumer psychology and consumer behavior. This course will address the key questions a marketer must consider for its offerings to be successful.

  • GBAC 7216

    Managing Big Data
     Rating

     Difficulty

     GPA

    3.63

    Last Taught

    Spring 2026

    This course will introduce the latest practices and technologies for managing big data. It will first compare and contrast big data to relational data in both operational and analytical data systems. It will then explore modern technologies (e.g., Spark and NoSQL), cloud computing (e.g., AWS), and reference architectures for retrieving, storing, integrating and analyzing big data. Finally, it will demonstrate big-data-enabled AI applications.

  • LPPL 3210

    Behavioral Sciences for Civic Leadership
     Rating

    1.90

     Difficulty

    2.90

     GPA

    3.63

    Last Taught

    Spring 2026

    Drawing on social science research, this course explores how public leaders contribute to problem identification, issue framing, policy adoption, crisis management, and organizational and societal change. The course will clarify the relationships among key concepts including leadership and followership, authority and influence, reciprocity and persuasion, and examine the role of contextual factors in shaping the strategies of 21st century leaders

  • DS 6210

    Computation II: Numerical Analysis & Optimization
     Rating

     Difficulty

     GPA

    3.63

    Last Taught

    Spring 2026

    Many problems in data science essentially boil down to some mathematical relationships that are to be solved numerically. But have you ever wondered how computers could do math? This graduate-level data science course aims to cover fundamental topics of scientific computing, specifically selected and curated for data scientists, including numerical errors, root finding algorithms, numerical linear algebra, and numerical optimization.

  • LPPL 7025

    Values-Based Leadership
     Rating

    3.00

     Difficulty

    3.00

     GPA

    3.64

    Last Taught

    Spring 2026

    Course shapes public leaders to recognize & respond to competing value propositions & implement value objectives in specific public context. Course goes beyond concrete incentive systems & aims to shape decisions, behavior, & expectations through social norms & organizational culture. Leaders in the public arena must appreciate competing value propositions & articulate & advocate for principles & standards of behavior.

  • GBAC 7214

    Prototyping & Product Development
     Rating

     Difficulty

     GPA

    3.65

    Last Taught

    Spring 2026

    Prototyping and Product Development is an action-oriented and project-based course. You and your team will identify a problem, develop multiple prototypes that address the problem, and test prototypes through iterative experimentation. Class sessions will be a mix of hands-on exercises, selected readings, and guest speakers. The majority of class time will be devoted to project work to help teams complete their prototypes.

  • GBAC 7215

    Data Analytics III: Deep Learning, Transformers, and Generative AI
     Rating

     Difficulty

     GPA

    3.65

    Last Taught

    Spring 2026

    We cover natural language processing, deep learning, and artificial intelligence to apply them to text and image data. You will learn algorithms that are the backbone of technologies used by Google and Tesla. You will also learn about Transformers, a revolutionizing concept that has caused a paradigm shift in artificial intelligence. In teams, you will compete with peers to develop the best predictive models to process and analyze text data.

  • UD 8612

    Urban Design History and Theory
     Rating

     Difficulty

     GPA

    3.65

    Last Taught

    Spring 2026

    This course introduces students to the underlying histories and theoretical dimensions of urban design as a creative spatial practice. By exploring a wide range of urban interventions at multiple scales, the course contextualizes contemporary design practice within the social, environmental, and political forces acting on the urban environment.

  • DS 6700

    Value I: Data Ethics, Policy and Governance
     Rating

     Difficulty

     GPA

    3.66

    Last Taught

    Spring 2026

    Combines topics in data ethics, critical data studies, public policy, governance, and regulation. Address challenges by topic (Health, Education, Culture & Entertainment, Security & Defense, Cities, Environment, Labor). Research how data-centric systems are deployed within socioeconomic ecosystems and shape the world. Interrogate connections between data science, governments, industry, civil society organizations, and communities.

  • LPPL 6050

    Leadership in the Public Arena
     Rating

     Difficulty

     GPA

    3.67

    Last Taught

    Spring 2026

    Course provides an introduction to leadership in the public arena. Through course readings, team projects, and discussion of case studies, students will develop skill at identifying the resources, options, and constraints of leaders and followers in different organizational and political settings, writing policy memos, making professional policy presentations, developing negotiation strategies, managing uncertainty and stress, & working in teams.