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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: Winter 2014

Instructors: Xiao-Wen Chang (Winter)

  • (4 hours)
  • Prerequisites: MATH 323, MATH 324 and COMP 350