GI5501: Spatial Data Adjustment Syllabus for Geoinformatics 5th Sem 2019 Regulation Anna University

Spatial Data Adjustment detailed syllabus for Geoinformatics Engineering (Geoinformatics) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Geoinformatics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Geoinformatics Engineering 5th Sem scheme and its subjects, do visit Geoinformatics 5th Sem 2019 regulation scheme. The detailed syllabus of spatial data adjustment is as follows.

Course Objective:

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Unit I

Measurement and Error
Concepts of measurement and Error – Types of errors – Elementary concepts in probability -Reliability of measurement – significant figures – Error Propagation – linearization – Multivariate distribution – Error ellipse- Weights of an observation – Stochastic model and Functional model.

Unit II

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Unit III

Variance Covariance Propagation
Random events and probability – Random variables – continuous probability distributions – normal distribution – Expectation – measures of precision and accuracy – covariance and correlation -covariance, cofactor and weight matrices – Introduction to sampling – Derivation of the propagation laws – Examples – stepwise propagation.

Unit IV

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Unit V

Geodetic Computations
Rectangular and Polar Co – ordinates – First and Second geodetic problem – Similarity andHelmert”s transformation- methods of point determinations – problems on intersection, resection, arc section and also with over determinations, polar method and its extension.

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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References:

1. P.J.G.Teunissen, Adjustment theory an introduction, VSSD. 2006.
2. OSCAR S.ADAMS, GEODESY:Application of the Theory of Least Squares to The Adjustment of Triangulation, Japnese Edition,Nabu Press, 2012.
3. Brinker Russell C Minnick Roy, The Surveying Hand Book, Volume-II,Springer,2nd Edition,1995.
4. Edward L. Ingram, Geodetic Surveying and the adjustment of observations( Method of Least Squares),Forgotten Books,2018.
5. Dr.B.C. Punmia,Ashok K.Jain and Arun K.Jain, Surveying Vol-III,Laxmi Publications Pvt Ltd.,17th Revised Edition,2005.

Course Outcome:

On completion of the course, the student is expected to be able to

1. Imparts concepts of error, error distribution and error adjustment procedures.
2. Understand the procedure involved in error adjustment using least square adjustment.
3. Convey an idea about the quality of infinite size data by Variance and Covariance.
4. Choose the suitable accuracy of instruments for their projects by pre analysis technique.
5. Create database by collecting quality data sets.

For detailed syllabus of all other subjects of Geoinformatics Engineering, 2019 regulation curriculum do visit Geoinformatics 5th Sem subject syllabuses for 2019 regulation.

For all Geoinformatics Engineering results, visit Anna University Geoinformatics all semester results direct link.