|Jiaqi (Jackey) Gong|
|Home||ECE4550-002: Body Sensor Networks|
Body sensor networks (BSNs) are emerging as a technology with tremendous potential for a variety of applications (healthcare, clinical medicine, biomedical research, emergency medicine, first responder safety, homeland security, athletics, gaming, etc.). While significant efforts have been made to develop and deploy BSNs and to standardize them across applications and platforms, there are numerous technical challenges that remain (related to the nodes themselves, the communication from/to nodes, the processing of the collected data, the demonstration of improved application outcomes from BSN utilization, etc.) in order for BSNs to be practical and truly useful for the applications for which they are envisioned.
1.5 credits; prerequisites: ECE 3430
Dr. Jiaqi (Jackey) Gong
50% Labs: students (working in groups) must complete all laboratory exercises, including any associated demonstrations and reports.
There will be scheduled 75 minute laboratory sessions most weeks, and students are required to attend during the scheduled times. Working in the lab off-hours is also encouraged, but the scheduled laboratory
Near the end of the course, students (working in their laboratory groups) will develop and execute a small project that utilizes the knowledge and skills gained in the course. On the last day of class, each student group will give a short presentation on its project and deliver a project report.
As members of an academic community, all students are expected to actively participate in and contribute to class discussions. In each lecture meeting, a group of randomly selected students will be the active discussion leaders for that day.
The class webpage (via UVaCollab) will contain the course syllabus, reading assignments, laboratory exercises, and other materials.
If any member of the class feels that he/she needs special accommodations of any nature whatsoever, please contact Prof. Lach at the earliest possible time – during the first week of class if possible. He will work with you and the University to provide reasonable accommodations to ensure that you have a fair opportunity to perform in this class.
Plagiarism and Academic Misconduct
Plagiarism, copying, and any other form of academic misconduct or dishonesty will not be tolerated. References must be properly cited. If there is any confusion about proper citation, please talk to Prof. Lach. If you have questions about UVa’s Honor System or would like to report suspicions of an Honor offense, please contact your Honor representative.
Cell Phones in Lecture/Lab
Out of respect for your fellow students, please turn off or silence your cell phones, etc. before coming into lecture and lab.
1. To provide students an understanding of the organization and architecture of BSNs as embedded systems.
|Last updated in Nov. 12th, 2016|
|copyright @ Jiaqi Gong 2014|