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EECS 598: Human-Inspired Computing

Term: Winter 2008
Course No.: EECS 598
Credit Hours:
Instructor: Todd Austin

Course Description:
EECS 598: Human-Inspired Computing
Instructor: Prof. Todd Austin,, 4637 CSE
Lectures: Tues-Thur 12:00-1:30pm, 1003 EECS

This course covers recent research topics in computer engineering related to human-inspired computing applications. Specifically, we will be examining sensing and control applications on and within the human body, such as health sensing and assisted-living applications. In support of these applications we will study a variety of supporting technologies, including sensor processors, bio-implant technologies, bio-chemical sensing applications, neural-signal processing, and radio-frequency identification. The research studied in the course will have strong foundations in embedded computing, computer architecture, networking, signal processing, low-power electronics, and distributed computing.

The goal of the class is to give students the background knowledge necessary to go forward and apply their core research technologies into the emerging domain of human-inspired computing. The primary evaluation criteria are the quality of student's written paper critiques and in-class presentations of assigned research papers,and a semester-long team research project. The project teams will be composed (as far as possible) of a mix of students with EECS background and students with backgrounds in one or more of the application domains. The prerequisite of the class is graduate standing, although undergraduate students in EECS with coursework in programming (EECS 280), networking (EECS 489) and hardware (EECS 370 and 373) will also be able to take this course.

Related Topics:  Lab-Artificial Intelligence