Machines of Loving Grace

man in field holding old mac comptuer
Spring 2008 MW 2:00-3:15 Room: CSB 632
Instructor: Henry Kautz Office: CSB 709 Office Hours: Thursdays 10:00am 12:00pm and by appointment

Description

The combination of widely deployed sensor technology (cameras, RFID, GPS, etc.) and reasoning methods from artificial intelligence enable the creation of systems that monitor many aspects of human behavior. Although monitoring often invokes Orwellian fears, this course will explore positive current and potential applications of such technology to health care, aging in place, and support for persons with disabilities. We will examine the technological underpinnings of automated behavior recognition, social trends that impact and are impacted by the technology, and how the concept of AI-based care giving has appeared in speculative literature. Assignments will include significant writing, and this course It will fulfill one upper-level writing experience in Computer Science. 190 is open to students in all majors with no prerequisites. Computer science majors taking this course as 290 will be required to complete a significant programming project, with the required prerequisite of 172 (Data Structures) and the recommended perquisite of 242 (Artificial Intelligence).

Class List

Grading & Assignments

All students will complete three short essays, each about 4 pages long. Students enrolled in 190B will also complete a longer writing project at least 15 pages long. Students enrolled in 290B will also complete three programming assignments. Everyone will be required to make short presentations to the rest of class approximately every other week. In addition, everyone will present a formal 20 minute lecture describing their final writing project or one of programming assignments. Grades for 190B will be calculated 1/3 for the short essays, 1/3 for the presentations, and 1/3 for the final writing project. Grades for 290B will be calculated 1/4 for the essays, 1/4 for the presentations, and 1/2 for the programming assignments. All assignments must be turned in on time. Extensions will be granted only if the student applies to instructor with an acceptable reason at least two days before the assignment is due.

Calendar