Department Information
CONTACT
1225 Center Drive
HPNP BUILDING
GAINESVILLE FL 32610
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Curriculum
Courses
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 & PHC 3603 both with a minimum grade of C & (PBH_BPH major or (PBH_UMN minor)).
PHC 3453 Leveraging the Arts to Promote Public Health 3 Credits
Grading Scheme: Letter Grade
Overview of the arts and health research landscape with an emphasis on arts in public health. As cross-sector collaboration within public health rises in prominence, it is essential that future public health leaders understand how and why the field of art can be leveraged.
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: PHC 4101 & PHC 4094 both with a minimum grade of C & (PBH_BPH major or PBH_UMN minor).
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: PHC 4101 & STA 2023 both with a minimum grade of C & (PBH_BPH major or PBH_UMN minor).
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 PHC 4101 both with a minimum grade of C and (PBH_BPH 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 with a minimum grade of C & (PBH_BPH major or (PBH_UMN minor)).
PHC 4418 Social, Economic, and Environmental Drivers of Health 3 Credits
Grading Scheme: Letter Grade
Overview of the social determinants of health and their impact on health and quality of life. Explore social, economic, environmental, and political factors contributing to health and health disparities across various populations.
Prerequisite: PHC 4101 or instructor approval.
PHC 4503 Public Health Messaging and Dissemniation 3 Credits
Grading Scheme: Letter Grade
The purpose of this course is to provide students with a comprehensive understanding of the role of communication in advancing public health and health promotion efforts, as well as effective theory- and evidence-based strategies for public health communication at multiple levels of the social ecological model.
Prerequisite: PHC 4101 and Public Health major or minor (PBH_BPH).
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.
PHC 4796C Artificial Intelligence in Psychological and Brain Sciences 3 Credits
Grading Scheme: Letter Grade
Builds upon the artificial intelligence (AI) foundations taught in PHC 3793 to train health science-focused students to examine how AI and Machine Learning (ML) methods are applied in psychology and related brain sciences, as well as to address the factors that contribute to appropriate use of AI. The course neither provides nor necessitates prior programming knowledge, advanced statistical, or machine learning training.
Prerequisite: (PHC 3793 with a minimum grade of C or equivalent AI Foundations course) or (CLP 4420 with a minimum grade of C & (HES_BHS major)).