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. Lect: 3 hrs./Lab: 2 hrs. Corequisite: CVL 650, Prerequisites: CVL 323 and (MTH 203 or MTH 410) and (MTH 340 or MTH 425) Course Weight: 1.00 Billing Units: 1
