This course, Health sensing and interventions (HSI), aims to bridge the gap between the medical sciences and computing.  At a high level, this course explores how to sense the human body and the various conditions/contexts that affect our health.  More specifically, this course will investigate:

• Different systems of human physiology (high level) 
• Existing devices that can measure our health.
• Devices that can provide feedback to users regarding their health 
• How these medical devices and health technologies work
• Which technology to choose for a given problem 
• How can we design new devices ourselves?  

We will explore the different systems of the human body and discuss how to measure (or trigger in case of interventions) various aspects of them.  We will brainstorm possible solutions, discuss how to test them, and discuss the implications of different approaches.  Students will be able to, but not required to, build a physical device.  A health sensing kit will be available for students to use. Some solutions require hardware, while others can be based on software-as-a-medical-device (SaMD), including mobile applications, data analysis, and algorithmic solutions.  Students should leave this course with the skills and confidence to tackle problems in healthcare that previously seemed insurmountable.  

Computer data structures and algorithms in the context of object-oriented programming. Focus on software development towards applications.

Small-group or individual investigation of advanced topics with a faculty member.

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.

Small-group or individual investigation of advanced topics with a faculty member.

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

This course provides academic credit for independent studies under the direction of a faculty member. The scope and direction of the studies are determined by the student (or small group of students) in consultation with the course instructor.

By enrolling in this course, students will gain experience in performing independent studies on topics that are not taught in a formalized course setting.

Final project for students completing a master's degree in the College of Computing. Repeatable for multi-semester projects.

Introduction to techniques and methods of object-oriented programming such an encapsulation, inheritance, and polymorphism. Emphasis on software development and individual programming skills.