04-801/C1 Mobile Sensing Mini-Carnegie Mellon University Africa - Carnegie Mellon University

04-801/C1 Mobile Sensing Mini

04-801/C1

Mobile Sensing Mini

Course discipline: Wireless
Elective
Units: 6

Semester: Fall
Pre-requisites: 

Course description:


Sensors are everywhere. Mobile sensing use embedded sensors found in wearables and smartphones, and machine learning algorithms to infer a wide range of human behaviors from walking, talking and partying to higher level behavior, such as, educational performance (e.g., GPA), and physical and mental health.

Learning objectives:

Outcomes:

In this class, we will design, develop, and deploy mobile sensing applications and plan to:

  1. Understand how to interpret raw signals from sensors such as the accelerometer, digital compass, gyroscope, GPS, microphone, and camera to infer higher level human behaviors;

  2. In addition to taught topics we will read and discuss one technical paper each week to best understand the latest ideas; and

  3. Through a sequence of weekly Android programming assignments and a culminating group project get hands on experience and skills in this emerging field.

Faculty: Andrew Campbell