This course is an introduction to programming and working in STATA, a core statistical program in the social sciences. In a variety of fields, STATA remains the baseline program for analysis, data management, and visualization.
PUBPOL 495 (Policy Seminar) is for students currently enrolled in the Public Policy Undergraduate Program only, no exceptions. Enrollment is by permission only.
This course will provide students with a practical hands-on instruction in the analysis of survey data using the statistical package Stata. Students will learn how to investigate a variety of public policy issues using data from the U.S.
What are smart cities? What makes them smart? Are they equitable and accessible? The aim of this hands-on applied policy course is to introduce students to smart cities and the rapidly evolving mobility ecosystem.
PUBPOL 495 (Policy Seminar) is for students currently enrolled in the Public Policy Undergraduate Program only, no exceptions. Enrollment is by permission only.
Instructors: Phyllis Meadows, Senior Fellow, Health, The Kresge Foundation and Marianne Udow-Phillips, Lecturer of Public Policy, Gerald R. Ford School of Public Policy; Executive Director, Center for Health and Research Transformation (CHRT).
Throughout history, financial services has played a vital role in the global economy, and similarly, technology has been an integral part of financial services.
This course, structured as a seminar and writing workshop, intensively develops students' persuasive writing and critical reading skills through abundant practice and feedback.
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields.
Climate change often feels like a problem that our brains have been hardwired to ignore. Climate change is abstract and complex, making it hard for non-scientists (including policy-makers) to understand.
This course is an introduction to programming in the R statistical language. R is a flexible, open-source statistics platform which has gained broad adoption in a variety of fields.
This course will examine how the U.S. and other international actors seek to help pacify, stabilize, and rebuild societies embroiled or emerging from war.
Climate change often feels like a problem that our brains have been hardwired to ignore. Climate change is abstract and complex, making it hard for non-scientists (including policy-makers) to understand.
The primary purpose of this seminar course is to develop the tools needed to assess the feasibility, potential impact, unintended consequences and legal/ethical ramifications of novel policies designed to improve population health and reduce healt
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
This is a course in facilitating complex and difficult dialogic moments of engagement in the social, professional and institutional spheres of the public arena.
This course introduces students to multiple regression analysis and other tools of causal inference and program evaluation. The course will focus on applying these tools to real data on various policy topics.
