Course Description
Students collect remote/mobile data using a microcomputer (Arduino, Raspberry Pi) or mobile phone, and then analyze that data by creating a dashboard visualization of their data. Additionally, students conduct a survey of relevant issues pertaining to surveillance and privacy rights for remote/mobile data collection projects.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Recognize and apply methods for collecting and monitoring sensor data collected with microcomputers and wearable health/activity tracking devices.
- Recognize relevant issues pertaining to surveillance and privacy rights for remote data collection projects.
- Identify and discriminate among various methodologies for describing, exploring, and analyzing data collected from IoT sensors and wearable devices.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Course Project Proposal | 10% |
| Reading Responses and Tutorial Explorations | 10% |
| Weekly Project Updates | 40% |
| Final Presentation | 20% |
| Final Report | 20% |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
Students are required to purchase a microcontroller board, sensors, wires, and other components necessary for completing their Internet of Things project. Students usually spent ~$50-$70 on the components needed for their project.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.