COMP 642 Numerical Estimation Methods (4 credits)

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 2019-2020 academic year.

Instructors: There are no professors associated with this course for the 2019-2020 academic year.