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Observation Theory: Estimating the Unknown

Observation Theory: Estimating the Unknown

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8.2/10 (Our Score)
Product is rated as #212 in category Data Science

Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results. TU Delft’s approach to observation theory is world leading and based on decades of experience in research and teaching in geodesy and the wider geosciences. The theory, however, can be applied to all the engineering sciences where measurements are used to estimate unknown parameters. The course introduces a standardized approach for parameter estimation, using a functional model (relating the observations to the unknown parameters) and a stochastic model (describing the quality of the observations). Using the concepts of least squares and best linear unbiased estimation (BLUE), parameters are estimated and analyzed in terms of precision and significance. The course ends with the concept of overall model test, to check the validity of the parameter estimation results using hypothesis testing. Emphasis is given to develop a standardized way to deal with estimation problems. Most of the course effort will be on examples and exercises from different engineering disciplines, …

Instructor Details

Ramon Hanssen is Antoni van Leeuwenhoek professor in Geodesy and Satellite Earth Observation at Delft University of Technology. He studied aerospace engineering and geodetic engineering (M.Sc. 1993). He received his PhD degree (cum laude) on the geodetic analysis of repeat-pass spaceborne radar interferometry, with emphasis on error propagation, and wrote a standard text book on radar interferometry.

Specification: Observation Theory: Estimating the Unknown

Duration

30 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

No

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Observation Theory: Estimating the Unknown
Observation Theory: Estimating the Unknown

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