General Social Science

Classes

MA 544/SS 510: Principles of Epidemiology

Category
Category I
Credits 3.0

Epidemiology studies the pattern of disease in populations to describe and identify distributions of diseases and opportunities for intervention. This course serves as a cornerstone for the quantitative aspects of global health and focuses on the distribution and determinants of health in human populations and communities. The goal is to provide a scientific foundation for evaluating both risk factors and interventions to improve health in a population through a strong quantitative analysis of causation, problem-solving, and analytic reasoning. The study of epidemiology evaluates the multifactorial etiology and pathophysiology of noncommunicable and infectious diseases and contributes to public health practice and policy. Specific topics include biomedical study design (i.e., experiment, cohort, case-control, cross sectional, ecological), appropriate measures of disease burden and association (i.e., prevalence, cumulative incidence, rate ratio, odds ratio), and considerations for efficacy and precision (i.e., selection bias, confounding, effect modification, measurement error, and random variation). The course also provides a framework for understanding and evaluating biomedical research publications, causal inference, and basic infectious disease modeling.

SS 560: Artificial Intelligence: Exploring Technology, Ethics and Policy

Credits 3.0

In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force with significant implications for public policy. This course is designed to provide students with a comprehensive understanding of challenges and opportunities AI brings to society and attendant policy debates. Throughout the course, students will learn both knowledge and tools enabling them to critically analyze and contribute to policy formation, implementation, assessment of AI related polices. The course will prepare students to engage in ongoing policy and emergent policy debates that reflect AI’s impact on society. Students will be able to make ethically informed decisions about the intersection of technology, policy, and society.

Prerequisites

None