Graduate Seminar on
        Sensor Systems and Real World Data.

    Details:         CourseID 72413.    Credits: 3. Time: Mondays 1.00 to 3.00 PM. Place: Hill 120.
    Lecturers:     Muthu Muthukrishnan, David Rosenbluth of Telcordia.
    Description:

        We will study the full lifecycle of real world data through sensor systems: how to gather
        data continuously for months, clean, analyze and build applications off  the data. The course
        will organize students into groups, pick out appropriate sensor systems for them, and
        take them through the lifecycle. Telcordia will denote the sensor systems and equipment we need.

        This course is an opportunity to explore sensors and their real world applications to epidemiology,
        social networks, rehabilitative medicine, biomedicine etc.

        There is a lot of interest in sensor systems in the CS dept at Rutgers including the work
        of  Badri Nath, Doug DeCarlo, Tomasz Imielinski, Uli Kremer, Michael Littman, Rich Martin,
        Dinesh Pai, Matthew Stone and others. Their work is on aspects of  sensor networking, sensor data
        management and applications, energy management with sensors,  visual sensors and manipulating
        visual data, multisensory computation, etc. So, there is a lot of synergy.

        Jan 26. Lecture 1. Overview by Muthu and David.

        Feb 2   Lecture 2. Accelerometer-based sensor systems and applications, by Amit Gaur.

        Feb 9: Lecture 3.  Audio sensors, by Su Chen.

        Feb 16: Lecture 4.  From data to meta-data, by David Rosenbluth.

        Feb 23: Lecture 5. Critical health care system using sensors, by Shankar.