USC Schedule of Classes

Introduction to the application of strategies and tools for practice in public health, including policy advocacy, leadership and management, program planning and evaluation, health communication.

Examines quality assessment at different levels of the health care system including health plans, physicians, hospital and integrated system performance.

Historical development of the American health care system; determinants of health care utilization; role of health care providers; health policy; public health services; and health care finance.

Concepts of biostatistics; appropriate uses and common misuses of health statistics; practice in the application of statistical procedures; introduction to statistical software including EXCEL, SPSS, nQuery. Laboratory.

Major parametric and non-parametric statistical tools used in biomedical research, computer packages including SAS. Includes laboratory. Lecture, 2 hours; laboratory, 2 hours.

Statistical methods for analysis of categorical data including dichotomous, ordinal, multinomial and count data, using Stata package. Includes laboratory.

Terminology/uses of epidemiology and demography; sources/uses of population data; types of epidemiologic studies; risk assessment; common sources of bias in population studies; principles of screening. Recommended preparation: algebra

Statistical methods for analysis of various experimental designs. Parametric analysis of variance (ANOVA), repeated measures methods, crossover designs, non-parametric ANOVA.

Advanced training in multivariate statistical techniques involving general linear modeling, mixed modeling and basic latent variables analysis in health behavior research

Overview of epidemiologic research in cancer. Selected cancer sites will be covered to highlight study design and conduct, exposure assessment, data analysis and interpretation.

Principles and methods used in epidemiology for comparing disease frequencies between groups. Restricted to the analysis of binary outcome variables.

A thoughtful perspective on U.S. health services delivery while introducing students to social inequalities in health.

Techniques for the solution of statistical problems throughout intensive computing; iterative techniques, randomization tests, the bootstrap, Monte Carlo methods. Lecture and required laboratory.

A comprehensive pre-departure training course intended to enhance the learning experience for all KSOM learners participating in global health (STEGHs).

b: Theory of estimation and testing, inference, analysis of variance, theory of regression. Recommended preparation: college-level calculus and linear algebra.

Design, conduct, and interpretation of results of clinical trials; emphasis on principles affecting structure, size, duration of a trial, and the impact of ethical and practical considerations.

International variations in health status with a focus on the impact of socioeconomic status, politics, environment, education and gender in etiology of illness, access to health care, progression of disease, and recovery.

Application of communication theories and methods to community health problems. Includes background assessment, program design, evaluation, social marketing, media advocacy, review of major health campaigns.

Survey of natural history of infectious disease, methods of disease control and outbreak investigation, and an overview of the epidemiology of injury. Prerequisite: PM-512.

Core concepts, methods and values of public health program planning and evaluation, including community needs assessment, writing objectives, designing health promotion programs, process and outcome evaluation.

Genetic principles; design and analysis of family studies; introduction to likelihood estimation; segregation and linkage analysis; biomarkers of exposure, susceptibility, and disease; laboratory methods; susceptibility genes; association and linkage disequilibrium.

Overview of current topics, enabling technologies, research initiatives, and practical considerations in biomedical informatics.

Theory, methods and procedures of network analysis with emphasis on applications to public health programs.

Transfer function models; stationary, nonstationary processes; moving average, autoregressive models; spectral analysis; estimation of mean, autocorrelation, spectrum; seasonal time series.

Examination of major policy issues in the U.S. health care delivery system to understand policy options in reforming health care and reducing health care disparities.

Principles of genetics and genomics as they apply to the study of the molecular basis of human diseases.

Provides epidemiologists with an overview of current statistical problems and approaches in the design and analysis of genome-wide association studies. Prerequisites: PM 511a, PM 512. Co-requisite: PM-522a.

Approaches for modifying health behavior in varioius settings and within diverse populations. Emphasis on practical considerations necessary to design and implement interventions with demonstrated effectiveness.

Current public health issues and research topics relating to 21st century challenges and threats. Lessons learned and best practices to strengthen public health systems and enhance public health readiness and preparedness.

An introductory course in the statistical methods used in the analysis of human genetic data.

Mammalian organ systems operation during health, and pathophysiologic analysis of related diseases with focus on neuroscience, immunology, metabolism, endocrine, reproduction, GI and liver. Faculty from basic and clinical sciences.

Introduction to the core concepts and methods of planning and implementing health-related programs and research in resource-constrained settings.

Highlights the complex interactions between global health, law and human rights, emphasizing the use of human rights in public health thinking and practice.

Introduction to common uses of qualitative research methods in public health research and application. Methods include ethnography, participant observation, open-ended interviewing, and focus groups.

Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Introduces Masters and Ph.D. students in the Health Sciences to Machine Learning methods and their Biomedical applications.

Credit on acceptance of thesis. Graded IP/CR/NC.

Credit on acceptance of thesis. Graded IP/CR/NC.

Credit on acceptance of thesis. Graded IP/CR/NC.

Part-time or full-time, practical work experience in the students field of study. The internship must be located at an off-campus facility. Students are individually supervised by faculty.

Applied practical experience through field placement in federal, state, and/or local public health agencies/organizations, including community-based organizations; research and school-based settings.

Provides the culminating, integrative learning experience for students enrolled in the Master of Public Health program.

Special topics relevant to the study of selected issues and areas of health behavior research or other aspects of preventive medicine.

Health research/evaluation philosophies, approaches and development of skills for development and critique of health behavior research projects/studies. Recommended preparation PM-511.

Introduces students to methods in Nutrition Epidemiology in order to develop skills needed to design, analyze and critically evaluate nutrition related health research.

A forum in which students develop speaking and presentation skills while critically evaluating epidemiological methods in epidemiology research.

Special topics of current interest to provide background for research in biostatistics and epidemiology. Based largely on student dissertation research. Graded CR/NC.

Analysis and interpretation of data to test clinical translational hypotheses.

Process of applying for research grants in health behavior research, including dissertation grants. Covers the structure of NIH and other grantmaking agencies, the grant review process, tailoring ideas to the grantmaker's priorities, research design, development of training and mentoring plans, and budgeting.

Independent research at an advanced level on a problem in the field of Health Behavior. Recommended preparation PM 604. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior. Graded CR/NC.

Independent research at an advanced level on a problem in the field of Health Behavior.

Independent research at an advanced level on a problem in the field of health behavior. Graded CR/NC.

Short seminar presentations and discussions on issues accompanying the development of the field of health behavior and implementation of research in this field. Graded CR/NC.

Research applicable to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.

Credit on acceptance of dissertation. Graded IP/CR/NC.