The University of Melbourne   451-206
Least Squares and Network Analysis
Summer Semester 2009
 
Lecturer
Consultation times
Timetable
Subject description
Course material
Assessment
Lecture schedule
Assessment schedule  
Completed assignments
Assignment marks
Assistance with assignment work
Disputed marks
Late submission policy
Plagiarism policy
Downloads
Past exams and tests
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Lecturer
 
Mr Simon Fuller
Department of Geomatics
The University of Melbourne
Room C426 (Engineering Block C)
Email : simon@geomatix.com.au
 
 
 
Consultation Times
 
Mr Fuller is available to assist students in this subject during the daily tutorial session
       
       
 
 
Timetable
 
Lectures
Daily 09:00 - 10:30 Engineering Theatre A2
  11:30 - 12:30 Engineering Theatre A2
 
Tutorials
Daily 14:00 - 16:00 ICT 1.08
     
 
 
Course materials
 
Lecture notes
451-206 Least Squares and Network Analysis (2008 Edition)
Course notes prepared by F.J. Leahy and P.A. Collier

Available from Melbourne University Bookshop

 
Also available on-line in pdf format (0.8 Mbyte / 120 pages)
 
 
 
Assessment
 
Assignments (50%)
Written 3 hour exam (50%) -- Hurdle requirement. Students must pass the exam to pass the subject.
 
 
Lecture schedule  
 
Day
 Tuesday lecture Thursday lecture
Mon
 L1. Introduction / Basic Error Theory / Precision L2. Probability Density Functions (PDF)
Tue
 L3. Review of matrix algebra / Correlated variables and their PDF. L4. Propagation of variances - linear case
Wed
 L5. Propagation of variances - non-linear case L6. Development of the least squares algorithm
Thu
 L7. Development of the least squares algorithm L8. Development of the least squares algorithm
Fri
 L9. LSQ Outputs L10. LSQ Outputs
   
Mon
 L13. Examples of least squares estimation - linear case L14. Examples of least squares estimation - linear case
Tue
 L15. Examples of least squares estimation - non-linear L16. Examples of least squares estimation - non-linear
Wed
 L17. Network Testing L18. Network Testing
Thur
 L19. Estimating variances using LSQ L20. Estimating variances using LSQ / Revision
Fri
 L21. Exam L22. Exam
 
Assessment schedule
 
No.
 Description
Due date
Weight
1
 Basic error theory
17/02/09
5%
2
 PDF's, outlier testing and matrix algebra
18/02/09
5%
3
 Propagation of variances
19/02/09
5%
4
 Setting up observation equations
20/02/09
5%
5
 A simple least squares adjustment
23/02/09
10%
6
 More least squares estimation and outlier detection    
24/02/09
5%
7
 Non-linear LSQ    
25/02/09
5%
8
 Network Testing
26/02/09

10%
 
 
Completed assignments
 
Emailed assignments will not be accepted without prior approval from the lecturer. Completed assignments must be lodged in the submission box by 5:30 pm on the due date.
 
Assistance with assignment work
 

Students seeking assistance with assignments are asked to email their question in advance of coming to see the lecturer. Where possible, a written response will be provided within two working days of the question being received. If deemed appropriate, the question and the answer will be forwarded to all students using the class email list. The anonymity of the student asking the question will be preserved at all times.
 
 
Disputed marks
 

Assignment marks will be made available on-line within one week of assignments being returned to students. It is the responsibility of students to check their marks and raise any concerns with the lecturer. No discussion on disputed assignment marks will be entertained after 31 October 2008.
 
 
Late submission policy
 
Assignments submitted after the due date will not be accepted. The only exception will be if students have obtained written permission for an extension. Such permission can only be obtained by completing a Request for Extension form. Late assignments, accompanied by a form granting an extension, should be submitted to the lecturer personally, they should not be lodged in the submission box.
 
 
Plagiarism policy
 
Plagiarism (copying the work of others) will not be tolerated under any circumstances. Students should be aware of the University's policy on academic honesty and are reminded that severe penalties may be imposed on those who engage in plagiarism. Such penalties include receiving a zero mark for the work under assessment and possible disciplinary action for repeat offences. .
 
Downloads
 
Request for extension Form to be completed if extension is required
Why LS The least squares principle illustrated by example

Section 3

 Basic rules of matrix manipulation
Section 4 Correlated variables and their PDF
Section 5 Example of propagation of variances for non-linear case (x,y) from (d,q)
Section 6 LS example from the notes and maximum pdf at minimum exponent
Section 7 Level network adjustment
Section 8 Two examples of least squares estimation
Section 9 Global and local testing
Section 10 Variance matrix estimation
Subject overview Powerpoint summary of the entire subject
DNA Dynamic network adjustment software
   
Past exams and tests
 
Exams Tests
2007 exam 2007 exam solutions 2007 test 2007 test solutions
2006 exam 2006 exam solutions 2006 test 2006 Test Solutions
2005 exam 2005 exam solutions 2005 test 2005 test solutions
2004 exam 2004 exam solutions    
 
Created : 27 June, 2005
Last modified : 15 February, 2009 18:11
Maintained by : Simon Fuller
Contact : simon@geomatix.com.au