Course Schedule - Fall Semester 2006

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

ELEC 697 001 (CRN: 12066)

LEARN'G MODEL'G SENSOR NETWORK

Long Title: APPLICATIONS OF MODERN STATISTICAL MODELING AND LEARNING IN SENSOR NETWORKS
Department: Electrical & Computer Eng.
Instructor: Koushanfar, Farinaz
Meeting: 2:30PM - 3:50PM TR (28-AUG-2006 - 8-DEC-2006) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Section Max Enrollment: 10
Section Enrolled: 4
Enrollment data as of: 18-MAY-2024 8:30PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: We discuss the importance of nonparametic statistical modeling and learning and its applications in embedded systems and sensor networks. The discussions of the modefying methods is interleaved with real world problems and challenges related to real systems.