锘� Course specification for SVY2105

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Course specification
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SVY2105 Survey Computations B

Semester 1, 2020 On-campus Springfield
Short Description: Survey Computations B
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Civil Engineering and Surveying
Student contribution band : Band 2
ASCED code : 031101 - Surveying
Grading basis : Graded

Staffing

Examiner:

Requisites

Pre-requisite: ENM1600 and SVY2106 or Students must be enrolled in one of the following Programs: GCNS or GCST or GDNS or GDST or MSST or MENS

Rationale

This course provides students with the necessary skills to collect, analyse and adjust survey measurement data for a variety of applications. The Least Squares technique is normally used to calculate adjusted values and precision indicators, with the results presented in one or more coordinate systems.

Synopsis

The purpose of this course is to provide the students with an understanding of the law of propagation of errors, statistical theory, and applications to the analysis and adjustment of survey observations using the Least Squares method. Both manual methods, using hand held programmable calculators, and computer software packages are used to process the data from a variety of practical problems. Students are taught to analyse and understand the results of adjustments. The course examines the adjustment of terrestrial and GPS observations and coordinate transformations.

Objectives

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. discuss surveying errors and apply the law of propagation of errors
  2. apply statistical concepts and techniques to the adjustment and analysis of survey data;
  3. relate outline the concepts of least squares;
  4. mathematically adjust survey networks by the method of least squares, using both manual methods and computer software packages;
  5. apply the least squares methods to applications to surveying problems such as GNSS, coordinate transformations, and other surveying networks;
  6. analyse the stochastic model to determine the degree of precision of a survey;
  7. demonstrate the knowledge of using least square methods for optimization of surveying networks.

Topics

Description Weighting(%)
1. ANALYSIS OF SURVEYING ERRORS Law of propagation of errors, gross errors, systematic errors, random errors. 10.00
2. REVIEW OF RELEVANT STATISTICAL CONCEPTS Precision and accuracy, theory of errors, normal distribution, confidence limits, rejection criteria, T-Test, Fishers F-Test, Chi Square Test. 10.00
3. INTRODUCTION TO LEAST SQUARES ADJUSTMENT Functional Models, linear and non linear, Stochastic Model, Concept of Weights, the Law of Propagation of Variances, Least Square description, curve fitting Linear Regression, Redundant Observations, Parametric Method of Least Squares, Limitations of Method. 15.00
4. LEAST SQUARES APPLICATION 1-Dimensional network (Levelling); 2-D network (traverse, EDM calibration); 3-D network (GPS) networks). Coordinate Transformations. 50.00
5. ANALYSIS OF OBSERVATIONS Variance - Covariance matrices, "a priori" and "a posteriori" variance factors, correlation, error ellipses. 10.00
6. OPTIMISATION OF NETWORKS Analysis of different results from different computer software. 5.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from (unless otherwise stated). (https://omnia.usq.edu.au/textbooks/?year=2020&sem=01&subject1=SVY2105)

Please for alternative purchase options from USQ Bookshop. (https://omnia.usq.edu.au/info/contact/)

Eton statistical and math tables 1980, 4th edn, Heinemann Publishers, Auckland, NZ.

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.
Ghilani, CD & Wolf, PR 2017, Adjustment computations: Spatial data analysis, 6th edn, John Wiley & Sons, Hoboken, NJ.
Harvey, BR 2006, Practical least squares and statistics for surveyors, 3rd edn, School of Surveying 精东传媒app of NSW, Kensington, NSW.
(Monograph 13.)
Leick, A 2015, GPS satellite surveying, 4th edn, John Wiley & Sons, New York.
Mikhail, EM & Gracie, G 1981, Analysis and adjustment of survey measurements, Van Nostrand Reinhold, New York.

Student workload expectations

Activity Hours
Assessments 50.00
Examinations 2.00
Lectures 24.00
Private 精东传媒app 55.00
Tutorials 24.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
ASSIGNMENT 1 200 20 06 Apr 2020 1,2,3,4,5 (see note 1)
ASSIGNMENT 2 200 20 18 May 2020 5,6,7 (see note 2)
Online Exam 600 60 End S1 1,2,3,4,5,6,7 (see note 3)

Notes
  3. This will be an open examination. Students will be provided further instruction regarding the exam by their course examiner via 精东传媒appDesk. The examination date will be available via UConnect when the official examination timetable has been released.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an individual assessment item a student must achieve at least 50% of the marks or a grade of at least C-. (Depending upon the requirements in Statement 4 below, students may not have to satisfactorily complete each assessment item to receive a passing grade in this course.)

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade in a course a student must obtain at least 50% of the total weighted marks for the course.

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the weighted aggregate of the marks (or grades) obtained for each of the summative assessment items in the course.

  6. Examination information:
    Due to COVID-19 the requirements for S1 2020 are: An Open Examination is one in which candidates may have access to any printed or written material and a calculator during the examination.

    Requirements after S1 2020:
    In an Open Examination, candidates may have access to any material during the examination except the following: electronic communication devices, bulky materials, devices requiring mains power and material likely to disturb other students.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Due to COVID-19 the requirements for S1 2020 are: The details regarding deferred/supplementary examinations will be communicated at a later date.

    Requirements after S1 2020:
    Any Deferred or Supplementary examinations for this course will be held during the next examination period.

  8. 精东传媒app Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene 精东传媒app policies and practices. These policies can be found at .

Assessment notes

  1. The due date for an assignment is the date by which a student must despatch the assignment to the USQ. The onus is on the student to provide proof of the despatch date, if requested by the Examiner.

  2. Students must retain a copy of each item submitted for assessment. This must be despatched to USQ within 24 hours if required by the Examiner.

  3. In accordance with 精东传媒app Policy, the Examiner may grant an extension of the due date of an assignment in extenuating circumstances.

  4. If electronic submission of assessments is specified for the course, students will be notified of this in the course Introductory Book and on the USQ 精东传媒app Desk. All required electronic submission must be made through the Assignment Drop Box located on the USQ 精东传媒app Desk for the course, unless directed otherwise by the examiner of the course. The due date for an electronically submitted assessment is the date by which a student must electronically submit the assignment. The assignment files must be submitted by 11.55pm on the due date using USQ time (as displayed on the clock on the course home page; that is, Australian Eastern Standard Time).

  5. If the method of assessment submission is by written, typed or printed paper-based media students should (i) submit to the Faculty Office for students enrolled in the course in the on-campus mode, or (ii) mail to the USQ for students enrolled in the course in the external mode. The due date for the assessment is the date by which a student must (i) submit the assessment for students enrolled in the on-campus mode, or (ii) mail the assessment for students enrolled in the external mode.

  6. The Faculty will NOT normally accept submission of assessments by facsimile or email.

  7. Students who do not have regular access to postal services for the submission of paper-based assessments, or regular access to Internet services for electronic submission, or are otherwise disadvantaged by these regulations may be given special consideration. They should contact the examiner of the course to negotiate such special arrangements prior to the submission date.

  8. Students who have undertaken all of the required assessments in a course but who have failed to meet some of the specified objectives of a course within the normally prescribed time may be awarded one of the temporary grades: IM (Incomplete - Make up), IS (Incomplete - Supplementary Examination) or ISM (Incomplete -Supplementary Examination and Make up). A temporary grade will only be awarded when, in the opinion of the examiner, a student will be able to achieve the remaining objectives of the course after a period of non directed personal study.

  9. Students who, for medical, family/personal, or employment-related reasons, are unable to complete an assignment or to sit for an examination at the scheduled time may apply to defer an assessment in a course. Such a request must be accompanied by appropriate supporting documentation. One of the following temporary grades may be awarded IDS (Incomplete - Deferred Examination; IDM (Incomplete Deferred Make-up); IDB (Incomplete - Both Deferred Examination and Deferred Make-up).

  10. Harvard (AGPS) is the referencing system required in this course. Students should use Harvard (AGPS) style in their assignments to format details of the information sources they have cited in their work. The Harvard (AGPS) style to be used is defined by the USQ Library's referencing guide.


Date printed 19 June 2020