Note: This is an archived Handbook entry from 2011.
|Dates & Locations:|| |
This subject is not offered in 2011.
|Time Commitment:||Contact Hours: 24 hours of lectures and 24 hours of lab exercises. |
Total Time Commitment: 120 hours
|Prerequisites:|| Prerequisite for this subject is - |
Study Period Commencement:
|Recommended Background Knowledge:||N/A|
|Non Allowed Subjects:||451673 Least Squares Adjustment|
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/|
|Subject Overview:||This subject will provide an introduction to the design, adjustment and analysis of survey networks by application of least squares techniques. The subject includes a review of error theory; propagation of variances; testing for measurement outliers; review of matrix operations; variance matrices; observation equations; linearisation of non-linear functions; the least squares algorithm; testing least squares adjustments; interpreting results; and network adjustment in theory and practice.|
|Objectives:||Upon completion of this subject students will have the ability to: |
|Assessment:||One 2-hour written examination at the end of semester (50%). Ten weekly written assignments, each of 6 hours workload, and each worth 4%. One 1-hour class test in week 8 (10%). |
Students must achieve a grade of at least 50% in the written examination at the end of the semester in order to pass this subject.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:||• Ability to apply knowledge of science and engineering fundamentals |
• Ability to undertake problem identification, formulation, and solution
• Ability to communicate effectively, with the engineering team and with the community at large
• Capacity for lifelong learning and professional development
Master of Engineering (Geomatics) |
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