course-details-portlet

BA8200 - Advanced Theory of Errors and Adjustment

About

Examination arrangement

Examination arrangement: Oral exam
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Oral exam 100/100 1 hours E

Course content

Least-squares adjustments, Necessary linear algebra and theory of Probability. Different models for advanced parameter estimation, Filtering and prediction. Hypothesis testing and reliability analysis, Interval estimation and outlier detection and elimination etc. Spectral analysis.

Learning outcome

Learning objective: After completing the course the candidate shall have an in-depth understanding of parameter estimation and reliability theory of geodetic measurements. Knowledge: After completing the course, the candidate shall have knowledge about Hypothesis testing and reliability analysis of geodetic measurements, knowledge of methods and techniques for advanced parameter, Knowledge of spectral analysis of geodetic and non-geodetic related time series. Skills: After completing the course, the candidate shall be able to perform advanced least squares adjustment of different geodetic observation models, be able to do filtering and prediction, be able to do hypothesis testing and outlier detection, Fourier analysis of time series. General competence: After completing the course the candidate shall have obtained ability to work independently and in a team towards relevant research front in the approximation and estimation of Geo-related parameters, ability to analyze critically the estimated/predicted parameters.

Learning methods and activities

The course will be given as colloquium or as conducted self-tuition, with one project that must be approved before the exam.

Compulsory assignments

  • Exercise

Specific conditions

Admission to a programme of study is required:
Engineering (PHIV)

Required previous knowledge

Master in geomatics. TBA4245 Geodesy or equivalent (some knowledge of geodetic parameters and observations). Note that if you wish to follow the course the semester it runs, but are not affiliated with the PhD programme in Engineering, please contact phd@ibm.ntnu.no.

Course materials

Karl Rudolf Koch: Parameter Estimation and Hypothesis Testing in Linear Models. Springer-Verlag Berlin Heidelberg 1999. 333 pages. Recent articles.

Credit reductions

Course code Reduction From To
DIB6074 10.5
More on the course

No

Facts

Version: 1
Credits:  10.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Geomatics
  • Geodesy
  • Photogrammetry/Remote sensing
  • Map subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Civil and Environmental Engineering

Examination

Examination arrangement: Oral exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Oral exam 100/100 E 2023-12-15 09:00
Room Building Number of candidates
Spring ORD Oral exam 100/100 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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