HSC 4913 Supervised Research Experience 0-4 Credits

Grading Scheme: Letter Grade

An opportunity to explore an area of interest in health research or the delivery and/or administration of health services through a firsthand and supervised research experience.

Prerequisite: Instructor permission.

PHC 3440 Global Public Health 3 Credits

Grading Scheme: Letter Grade

Examines global health threats, health production, and their relationship with social processes from an interdisciplinary perspective. Also examines how social and technical innovations provide new opportunities to address global health.

Prerequisite: PHC 4101 and Public Health major with Junior standing or higher.

PHC 3621 Ethics in Artificial Intelligence: Who’s Protecting Our Health 3 Credits

Grading Scheme: Letter Grade

Explores the ethical challenges of using artificial intelligence in Healthcare and the practice of Public Health. Students will examine predictive models used for making important health decisions, addressing factors that contribute to trustworthy artificial intelligence in health, and analyzing potential for bias, risk, and social inequity in assessing and delivering health and public health interventions.

Prerequisite: PHC 3793.

PHC 3678 Global Health Disparities and Disabilities 3 Credits

Grading Scheme: Letter Grade

Provides students, interested in addressing health disparities among people living with disabilities, with the knowledge and understanding of health determinants that maintain their current health status globally. Special focus on low- and middle-income countries.

Prerequisite: Public Health (PBH-BPH), Health Science (HES_BHS), or Communication Sciences and Disorders (CSD_BHS) major with junior standing or higher.

PHC 3793 Higher Thinking for Healthy Humans: AI in Healthcare and Public Health 3 Credits

Grading Scheme: Letter Grade

Covers history, foundational concepts and methods on artificial intelligence (AI), focusing on public health and healthcare applications, including hands-on practice on graphical/highlevel AI software. The course neither provides advanced statistical/machine learning training nor programming.

Prerequisite: STA 2023 or equivalent.

PHC 4024 Applied Epidemiology 3 Credits

Grading Scheme: Letter Grade

Principles and methods of epidemiological investigation focusing on both infectious and noninfectious diseases. Emphasizes outbreak investigations, field epidemiology and epidemiology careers.

Prerequisite: HSC 3057, HSC 3502, HSC 4558, PHC 4101, and Health Science and Public Health majors/minors only.

PHC 4094 Introduction to Biostatistics for Health Science and Public Health 3 Credits

Grading Scheme: Letter Grade

Methods and public health applications for analysis of variance, correlation, simple linear regression, multiple linear regression, nonparametric and distribution-free statistical methods, and some basic concepts about survival analysis. Public health applications using statistical software. Writing data analysis reports.

Prerequisite: STA 2023.

PHC 4117 Public Health Management Leadership 3 Credits

Grading Scheme: Letter Grade

Provides knowledge relevant to leading public health organizations while effectively managing and motivating employees. Includes organizational behavior and theories to examine management, leadership, and application of skills in delivering public health programs.

Prerequisite: HSA 3111 and HSC 3502 and HSC 4558 and PHC 4101 and Public Health major.

PHC 4320 Environmental Concepts in Public Health 3 Credits

Grading Scheme: Letter Grade

Surveys major environmental health topics by examining sources, routes, media, and health outcomes associated with biological, chemical, and physical agents in the environment. Introduces the economic and legal frameworks associated with environmental health issues and public health.

Prerequisite: PHC 4101.

PHC 4792 Data Visualization in the Health Sciences 3 Credits

Grading Scheme: Letter Grade

Learn the foundations of information visualization and sharpen skills in understanding, evaluating, and presenting AI-driven public health data. R is primarily used to explore concepts in graphic design, storytelling, data wrangling and plotting, biostatistics, and artificial intelligence.

Prerequisite: STA 2023 or equivalent.