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COMP 642 Numerical Estimation Methods (4 credits)

Note: This is the 2014–2015 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Computer Science (Faculty of Science)

Administered by: Graduate Studies

Overview

Computer Science (Sci) : Efficient and reliable numerical algorithms in estimation and their applications. Linear models and least squares estimation. Maximum-likelihood estimation. Kalman filtering. Adaptive estimation, GPS measurements and mathematical models for positioning. Position estimation. Fault detection and exclusion.

Terms: This course is not scheduled for the 2014-2015 academic year.

Instructors: There are no professors associated with this course for the 2014-2015 academic year.

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