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SUR 341 - Adjustment Computations

 Catalog Data 341. ADJUSTMENT COMPUTATIONS (3) Matrix methods in least squares; random error propagation; observation equation model; conditions between parameters; basic post-adjustment statistical analysis. Prerequisites: CMPSC101 or 201C; STAT 401; SUR 241.
Textbook Wolf, Paul R. and Charles D. Ghilani. 1997. ADJUSTMENT COMPUTATIONS: STATISTICS AND LEAST SQUARES IN SURVEYING AND GIS. John Wiley & Sons, Inc., New York, NY.
References none
Coordinator Charles. D. Ghilani, Professor of Engineering, Surveying Engineering Program.
Goals To introduce students to the mechanics and fundamental principles of least squares adjustments.
Prerequisites by Topic
  1. Ability to compute partial derivatives.
  2. Ability to program in the computer language of either C, Fortran, Pascal, Basic.
  3. Knowledge of basic statistical properties including statistical testing and random error propagation using the Simplified Law of the Propagation of Variances.
  1. Fundamentals of programming
  2. Basic matrix methods
  3. Inverse of matrices
  4. Principles of weighting
  5. Fundamental principles of least squares
  6. Adjustment of level nets
  7. Precision of indirectly determined quantities
  8. Adjustment of horizontal surveys: trilateration
  9. Adjustment of horizontal surveys: triangulation
  10. Adjustment of horizontal surveys: traverses and networks
  11. Two-dimensional rotation
  12. Error ellipse computations
  13. Exams
  1. 1 hour
  2. 2 hours
  3. 2 hours
  4. 2 hours
  5. 4 hours
  6. 3 hours
  7. 2 hours
  8. 2 hours
  9. 2 hours
  10. 2 hours
  11. 1 hour
  12. 4 hours
  13. 3 hours
  1. Reading and writing data with structures for storage
  2. Programming matrix operations
  3. Programming of least squares solution with coefficient computations
  4. Programming of post-adjustment statistical computations
  1. 4 labs
  2. 4 labs
  3. 4 labs
  4. 3 labs
Computer Usage Students program a particular surveying-related least squares problem from file I/O through a least squares adjustment to computation of post-adjustment statistics. Students are encouraged to submit their programs electronically. Additionally, the students can download course notes from the Internet. Future Internet usage will include a chat room and an electronic bulletin board for student queries.