The distribution and determinants of disease, illness, and health in the community. Community health and illness measures, health status, and source of data. Development of hypotheses and study designs to reduce community health problems using epidemiological reasoning, methods, and analyses. Lab.

This course covers using Python as a programming language to write, implement, and design programs that are relevant to various aspects of programming in a health setting. After completion of this course, students should be comfortable with the basic data structures in Python and R (including arrays, dictionaries and dataframes), conditional logic and iterators, writing Python and R functions, and using Python libraries to read external data and perform data manipulations and data analysis.

This course provides an introduction to the helping process in the context of a human service agency. There are two essential components to this course. The first examines the economic, social, and political forces that have shaped the development of human service organizations and their status today. It reviews the issues and obstacles involved in providing quality service to various populations in our society. The second major emphasis offers students the opportunity to review the basic elements of the helping process. Students examine the development of a professional working relationship with clients. They also learn what the process of helping includes. Emphasis includes the influence of personal experiences and values on prospective workers in the helping professions.

This course examines the theories, roles, and functions of case management. Students study examples of case management to include the professional skills necessary to be a successful case manager. The course explores case management issues with special populations and includes a discussion of the importance of ethics and the essential elements of case-note documentation, along with challenges and legal issues that case managers are faced with in organizations.