Placeholder

Placeholder

For students holding graduate teaching assistantships.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Small-group or individual investigation of advanced topics in computing. Guided study and research.

Special topics of current interest. Treatment of new developments in various areas of computing.

This course introduces students to individual, interpersonal, and societal influences on health, and how such factors influence health across populations and create disparities in health. Using this knowledge as a foundation, the course examines how digital health technologies can be designed to address wellbeing barriers that disproportionately and unfairly diminish the health of subpopulations, eliminate preventable gaps in health between populations, and help all individuals achieve their highest possible state of health. Furthermore, this course examines how varied influences on health shape access to, utilization of, and the impact of digital health systems. Students will learn how to apply theory, empirical insights, and perspectives from the social, behavioral, and public health sciences in the design and evaluation of digital health systems. Foundations of public health will be examined; additionally, the course will have a central focus on applying human-centered design concepts to the domain of digital health. 

Teams or individuals apply the knowledge and skills acquired throughout the MS program to a faculty supervised robotics project.