USC Schedule of Classes

Provides undergraduate students in the mathematical or biological sciences with training in fundamental concepts in biostatistics and an introduction to various specialized topics in biostatistics, with a focus on research in heart and lung disease.

Overview and application of behavioral theories to the field of health education and promotion. Examines the determinants of health behavior and strategies for change at the individual, group and community level.

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

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

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.

An overview of environmental health, identifying issues in assessing effects of exposure on health and potential interventions for reducing adverse health risks. Prerequisite: PM-512

With a physiological overview, dfferentiates genetic and environmental disease; emphasis on the relationships between lifestyle, behavior, and health.

Overview of causative factors and demographic distribution of major chronic diseases in the western world. Epidemiologic concepts, methods and research design as applied to chronic disease prevention will be emphasized. Prerequisite: PM 512.

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.

The contents include: R objects, control structure, data input and output, subsetting objects, data manipulation and aggregations, character manipulation, graphics, and writing user-defined functions. Recommended preparation: Knowledge of one programming language other than R or a half-year experience programming in R.

Survey of effective community organizing and mobilization efforts in the U.S. and abroad, using participatory, organizational, community empowerment and public-private partnership models.

Programming using SAS Software, including branching, sub-setting, PDV, looping, by-group processing, array, combining data functions, ODS, and macros.

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.

Overview of statistical issues and solutions to high dimensional data analysis. Use of Bioconductor and R, with applications in molecular biology. Recommended preparation: PM 511a.

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.

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.

Analysis of an external medical research or healthcare industry dataset; project/presentation based.

Multidisciplinary approach to clinical and translational research.

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.