Observation Theory - Estimating the Unknown, Certificate | Part time online | Delft University of Technology (TU Delft) | Netherlands
Certificate Online

# Observation Theory - Estimating the Unknown

2 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

This Observation Theory - Estimating the Unknown at Delft University of Technology (TU Delft) 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.

4.2 Read 82 reviews

## Overview

#### Key facts

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 Observation Theory - Estimating the Unknown course from Delft University of Technology (TU Delft) 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, especially in the domain of Earth Sciences.

This course is aimed towards Engineering and Earth Sciences students at Bachelor's, Master's and postgraduate level.

#### What you'll learn:

• How to translate real-life estimation problems to easy mathematical models
• Practical understanding of least squares estimation and best linear unbiased estimation, and how to apply these methods
• How to assess and describe the quality of your estimators in the form of precision and confidence interval
• How to check the validity of your estimation results

## Programme Structure

#### Courses include:

• Week 2: Mathematical models
• Week 3: Least Squares Estimation (LSE)
• Week 4: Best Linear Unbiased Estimation (BLUE)
• Week 5: How precise is the estimate?
• Week 6: Does the estimate make sense?

## Key information

• Part-time
• 2 months

### Start dates & application deadlines

You can apply for and start this programme anytime.

English

### Delivered

Online

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

## English requirements

We are not aware of any English requirements for this programme.

## Other requirements

### General requirements

• Calculus (high school level)
• Probability concepts like expectation, variance, the normal distribution and other probability density functions
• Basic matrix manipulation (by hand and with e.g. Python or Matlab)

## Tuition Fee

To always see correct tuition fees
• ### International

Free
Tuition Fee
Based on the tuition of 0 EUR for the full programme during 2 months.
• ### EU/EEA

Free
Tuition Fee
Based on the tuition of 0 EUR for the full programme during 2 months.

Free | Earn certificate for \$149

## Our partners

Observation Theory - Estimating the Unknown
Delft University of Technology (TU Delft)
Observation Theory - Estimating the Unknown
-
Delft University of Technology (TU Delft)

Wishlist

Go to your profile page to get personalised recommendations!