AI1149 Geodata quality and time series analysis 6.0 credits

Quality aspects of geodata

- Error propagation and hypothesis test

- Least-square equalisation of measurement data

- Observation equations and linearisation

- Time series analyses in frequency domain: Fourier analysis, wavelet analysis

- Time series analyses in time domain: autoregression, curve fitting, interpolation, change detection

On successful completion of the course, the student should show to be able to:

- assess different quality aspects of geodata

- evaluate geodata quality by means of the law of error propagation

- carry out least-square equalisation of measurement data

- apply different methods to analyse time series from measurements

Knowledge in Geodetic Surveying corresponding to at least 1,5hp within course AG1818 Geodetic Surveying.

If the course is discontinued, students may request to be examined during the following two academic years.

• LAB1 - Computational work, 3.0 credits, grading scale: P, F
• TEN1 - Written examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Approved examination (TEN1, 3.0 higher education credits)

Passed labs (LAB1, 3.0 higher education credits)

Huaan Fan

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.