Important announcement

Dear visitor,

Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

Courses and their contents that are currently available the platform will partly be migrated. URL’s for this content will change and content might be unavailable for some time. In addition, some courses will not be available anymore.

If you are linking to specific courses on this platform (for instance for your students), please take timely measures to avoid problems with access. Possible actions are:

  • Download the materials to your local platform (laptop, server)
  • For educators only (including TU Delft lecturers): Contact us at ocw@tudelft.nl and inform us what course you are using in what context (institute, program, period of use, number of students). We will research (in collaboration with the authors of the course) and decide if we will migrate the course, and if yes, can supply you with a new url.

Thank you.

Pre 2.1 Introduction

Course subject(s) Pre-knowledge Mathematics

This section gives a review of the  basic elements of linear algebra and matrix theory. It is designed as a convenient source of reference to be used for the EdX course “Observation Theory: Estimating the unknown”.

In the following units, you will find information about five main topics:

  1. Vectors and Matrices
  2. Linear Combinations, Rank and Inverse
  3. Vector Spaces and Subspaces
  4. Euclidian Spaces, Norm, and Orthogonality
  5. Matrices and Linear Systems of Equations

You are expected to be familiar with topic 1 before Module 1.2 on Quality and Types of Errors; the other topics become relevant from Module 2 on Mathematical Models.

Creative Commons License
Observation Theory: Estimating the Unknown by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://ocw.tudelft.nl/courses/observation-theory-estimating-unknown.
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