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CVL 737

Data Modelling and Estimation

Basic concepts of Geomatics data modeling and estimation, Geomatics measurements errors, measures of central tendency, covariance and correlation, covariance propagation, introductory probability theory, error ellipse and error ellipsoid, univariate statistical testing, principles of least-squares methods, parametric, condition and combined cases, partitioning, weighted and functional constraints, sequential solutions.
Weekly Contact: Lab: 2 hrs. Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1

Prerequisites

CVL 323 and (CVL 405 or MTH 203 or MTH 410) and (MTH 340 or MTH 425)

Co-Requisites

CVL 650

Antirequisites

None

Custom Requisites

None

Mentioned in the Following Calendar Pages

*List may not include courses that are on a common table shared between programs.