Course Title: Integrate surveying datasets

Part B: Course Detail

Teaching Period: Term2 2025

Course Code: GEOM5198C

Course Title: Integrate surveying datasets

School: 530T Built Environment and Sustainability

Campus: City Campus

Program: C5416 - Diploma of Surveying

Course Contact: Matthew Sweeney

Course Contact Phone: +61 3 9925 4105

Course Contact Email: matthew.sweeney@rmit.edu.au


Name and Contact Details of All Other Relevant Staff

Thierry Demathieu | Trainer and Assessor - Building, Surveying and Land Management

College of Vocational Education

RMIT University

+61 39925 8359

thierry.demathieu@rmit.edu.au   

www.rmit.edu.au

Nominal Hours: 60

Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.

Pre-requisites and Co-requisites

None

Course Description

In this course you will develop the skills and knowledge required to use technology and software applications to integrate spatial datasets captured using surveying methods and equipment. This includes importing or downloading, editing, checking and validating measured datasets. The course also includes processing and comparing integrated datasets to check accuracy and resolve errors and finalising the process by archiving data and completing documentation.

This course is suitable for skilled surveying technicians and skilled spatial information system (SIS) technicians who use a broad range of cognitive, technical and communication skills to select and apply methods and technologies to analyse information and provide solutions to sometimes complex surveying/spatial information problems.

 


National Codes, Titles, Elements and Performance Criteria

National Element Code & Title:

CPPSSI5052 Integrate surveying datasets

Element:

1. Prepare to integrate surveying datasets

Performance Criteria:

1.1 Review project specifications and dataset requirements.

1.2 Check and validate accuracy of recorded measurements according to project specifications.

1.3 Import or download measured datasets into a processing package according to project specifications.

Element:

2. Process surveying datasets

Performance Criteria:

2.1 Select and apply appropriate software application to view and process data. 

2.2 Edit data according to project specifications and organisational requirements.

2.3 Process and compare measured data with dataset design using an appropriate processing software.

2.4 Check consistency and integrity of integrated data.

2.5 Identify and resolve problems according to project requirements.

Element:

3. Finalise surveying dataset integration

Performance Criteria:

3.1 Complete documentation promptly and accurately according to organisational requirements.

3.2 Inform appropriate persons of results of dataset integration according to organisational requirements.

3.3 Archive data according to project specifications and organisational requirements.


Learning Outcomes


On successful completion of this course you will have developed and applied the skills and knowledge required to demonstrate competency in the above elements. 


Details of Learning Activities

You will learn to:

  • How to integrate property title information
  • How to integrate coordinate systems
  • How to integrate field infrmation
  • How to integrate paper-based architectural information
  • How to integrate services utilities locations

And produce a final as-constructed plan.

The total number of scheduled hours of teaching, learning and assessment involved in this course includes all planned activities (face to face classes, lectures, workshops and seminars; workplace visits, online learning and other forms of structured teaching and learning). It also covers the amount of effort necessary to undertake, evaluate and complete all assessment requirements, observation of work performance, discussions with supervisors and others providing third party evidence and one on one and group assessment sessions with students.


Teaching Schedule

Syllabus 

Session: 

Brief: 

Assessment Details 

Date: 14-20 July

 

Session: 1 

 

 

Lesson Title: Welcome and Course overview 

 

Description:  

In this session you will be introduced to the concepts used for the course, along with an outline of the assessment requirements.  

 

You will also search any publicly available datasets. 

 

 

Assessment 1: Released 

Assessment 2: Released 

 

Activity: Research various datasets. 

Date: 21-27 July

 

Session: 2 

Lesson Title: Integrate survey dataset 

 

Description: In this session you will learn how to search and integrate survey datasets into a surveying software. 

  

You will also apply settings to the surveying software. 

 

Activity: Setup the software for use 

 

Activity: Integrate property datasets. 

Date: 28 July - 3 August

 

Session: 3 

Lesson Title: Integrate measurement dataset 

Description: In this session you will be introduced to the integration of measurement dataset. 

You will also start to answer some of the knowledge questions using the template provided. 

Activity: Setup template. 

 

Activity: Integrate survey dataset to property datasets. 

 

Date: 4-10 August

 

Session: 4 

Lesson Title: Integrate Design datasets 

 

Description: In this session you will learn how to integrate an architectural plan provided by an architect to the previous information. 

 

Activity: Integrate the architectural dataset provided with survey and property datasets. 

 

Date: 11-17 August

 

Session: 5 

Lesson Title: Assessment 1 – Integrate design dataset 

 

Description: In this session you will integrate an architectural plan from its original format to the surveying software format you will be using. 

 

Activity: Use of AutoCAD to Integrate the design dataset. 

 

Date: 18-24 August

 

Session: 6 

Lesson Title: Assessment 1 - Integrate survey dataset 

 

Description: In this session you will learn how to integrate property datasets into a surveying software. 

 

 

Activity: Use of AutoCAD to Integrate the property dataset. 

 

Date:  
25-31 August

 

Session: 7 

Lesson Title: Assessment 1 - integrate measurement dataset 

Description: In this session you will conduct the searching and integration of measurements datasets. 

  

Activity: Use of LISCAD to Integrate the dataset. 

Date: 1-7 September

The Mid-semester break is a scheduled break in the semester. No teaching or assessment will occur during this time. Also, your Trainer/Assessor won't be available during this time. If you need to contact them, please email them via your student email account, and they will respond once they return from the break.   

 

Date: 8-14 September

 

Session: 8 

Lesson Title: Assessment 1: Knowledge Questions 

 

Description: In this session you will access resources to be able to complete the knowledge questions prior to the due date. 

 

Activity: Use resources available to answer the questions. 

 

Assessment 1 due: Sunday 14 September 2025. 

 

Date: 15-21 September

 

Session: 9 

 

Lesson Title: Integrate Complex survey datasets 

 

Description: In this session you will learn how to integrate complex property boundaries. 

 

 

Activity: Integration of multiple complex datasets from various origin and format. 

Date: 22-28 September

 

Session: 10 

 

Lesson Title: Integrate Complex design datasets 

 

Description: In this session you will learn how to integrate complex architectural plan. 

 

 

Activity: Integration of multiple complex datasets from various origin and format. 

 

Date: 29 September - 5 October

 

Session: 11 

 

Lesson Title: Integrate complex measurements datasets 

 

Description: In this session you will integrate various survey information from various sources. 

 

You will also learn how a Licensed Surveyor make decisions when integrating property and survey information from various sources.  

 

Activity: Integration of multiple complex datasets from various origin and format. 

 

   

 

Date: 6-12 October

 

Session: 12 

 

Lesson Title: Assessment 2: Integrate survey dataset 

 

Description: In this session you will learn how to integrate property boundaries into a surveying software. 

 

 

Activity: finalise field notes and writing report to client for assignment. 

Date: 13-19 October

 

Session: 13 

 

Lesson Title: Assessment 2: Integrate design dataset 

 

Description: In this session, you will integrate a design provided by an architect. 

 

Activity: Use of AutoCAD to Integrate the design dataset. 

 

Date: 20-26 October

 

Session: 14 

 

Lesson Title: Assessment 2: Integrate measurement dataset 

 

Description: In this session, you will complete all the requirements related to the measurements provided. 

 

You will integrate two types of survey information: Searched in LANDATA and collected in the field. 

 

Activity: Use the surveying software to integrate the measurements provided in a field file. 

 

Date: 27 October- 2 November

 

Session: 15 

 

Lesson Title: Assessment 2: Knowledge Questions 

 

Description: In this session you will access resources to be able to complete the knowledge questions prior to the due date. 

 

Activity: Use resources available to answer the questions 

 

Date: 3-9 November

 

Session: 16 

 

Lesson Title: Assessment 2: Finalisation of the project 

 

Description: In this session you will finalise the project. 

Assessment 2 due: Sunday 9 November 2025 

Date: 10-16 November

 

Session: 17 

Lesson Title: Consultation 

 

Description: This session will be dedicated to students who have not yet met the assessment requirements for assessment 2. 

 

 

Date: 17-23 November

 

Session: 18 

Lesson Title: Consultation 

 

Description: This session will be dedicated to students who have not yet met the assessment requirements for assessment 2. 

 

 

 






Learning Resources

Prescribed Texts


References


Other Resources

Check the Library Subject Guides: http://rmit.libguides.com/geospatial


Overview of Assessment

Assessment for this course is ongoing throughout the semester. Your knowledge and understanding of course content is assessed through participation in class exercises, oral presentations and through the application of learned skills and insights to your written tasks. Full assessment briefs will be provided and can be found on CANVAS. 


Assessment Tasks

  • Assessment Name

      

    Description

      

    Release Date 

      

    Due Date 

      

    Sydney Manefield Project

      

    In this assessment you will take on the role of a surveyor. RMIT requested your design partner for as-constructed drawings for RMIT Building 70 - 39-49 Cardigan Street
    Carlton. This partner contacted you to help provide that information. It is a 3 levels concrete and precast
    construction. Your design partner could only retrieve PDF drawings of the design and doesn’t know if it was
    constructed as per the drawings.  

    10 February 2025

      

    Sunday 14 September 2025

      

    Design Hub Project

    In this assessment you will take on the role of a surveyor. RMIT requested your design partner for as-constructed drawings for RMIT Building 100 (Design Hub) – 136-154
    Victoria Street, Carlton, The Design Hub is one of the newest and most iconic of RMIT buildings. Located on the
    historic Carlton & United Breweries site, it was completed in 2012. Your design partner could only retrieve PDF
    drawings of the design and doesn’t know if it was constructed as per the drawings. 

    10 February 2025

    Sunday 9 November 2025




Assessment Matrix

Mapping Assessments to the Unit of Competency – Instructions 

  
           

Element 

        
       

Performance criteria 

        
       

 

        
       

 

        
       

 

        
   

 

        
   

Assessment 

  

Task 1: Sydney Manefield 

        
   

Assessment 

  

Task 2: Design Hub 

        
       

1 Prepare to integrate surveying datasets.  

  

 

  

 

        
   

1.1 Review project specifications and dataset requirements. 

        
   

Part A – Section 1.1A - 1.1B 

  

Part B – Section 1A, 1B 

        
   

 

  

1.1A - 1.1B 

  

Part 1 – 1.1, 1.2 

  

 

        
   

1.2 Check and validate accuracy of recorded measurements according to project specifications. 

        
   

Part A – Section 1.2A - 1.2B 

  

Part B – Section 1C 

        
   

1.2A - 1.2B 

  

Part 1 – 1.3 

        
   

1.3 Import or download measured datasets into a processing package according to project specifications. 

        
   

Part A – Section 1.3 

  

Part B – Section 1.4 

        
   

1.3 

  

Part 1 – 1.4 

        
       

2. Process surveying datasets. 

        
   

2.1 Select and apply appropriate software application to view and process data.  

        
   

Part A – Section 2.1A - 2.1B 

  

Part B – – Section 1E 

        
   

2.1A - 2.1B 

  

Part 1 – 2.1 

        
   

2.2 Edit data according to project specifications and organisational requirements. 

        
   

Part A – Section 2.2 

  

Part B – Section – 1F 

        
   

2.2 

  

Part 1 – 2.2 

        
   

2.3 Process and compare measured data with dataset design using an appropriate processing software. 

        
   

Part A – Section 2.3 

  

Part B – Section – 1G 

        
   

2.3 

  

Part 1 – 2.3 

        
   

2.4 Check consistency and integrity of integrated data. 

        
   

Part A – Section 2.4 

  

Part B – Section – 1H 

        
   

2.4 

  

Part 1 – 2.4 

        
   

2.5 Identify and resolve problems according to project requirements. 

        
   

Part A – Section 2.5 

  

Part B – Section – 1I(i) 

        
   

2.5 

  

Part 1 – 2.5 

        
       

3. Finalise surveying dataset integration. 

        
   

3.1 Complete documentation promptly and accurately according to organisational requirements. 

        
   

Part A – Section 3.1A - 3.1B 

  

Part B – Section 1J, 2A, 2B, 2C & 3A 

        
   

3.1A - 3.1B 

  

Part 1 3.1 

  

Part 2A, B & C 

        
   

3.2 Inform appropriate persons of results of dataset integration according to organisational requirements. 

        
   

Part A – Section 3.2 

  

Part B – Section – 1K 

        
   

3.2 

  

Part 1 – 3.2 

        
   

3.3 Archive data according to project specifications and organisational requirements. 

        
   

Part A – Section 3.3A-3.3B 

  

Part B – Section – 1L 

        
   

3.3A-3.3B 

  

Part 1 – 3.3 

        
     
           

Foundation Skills – This section is only completed when foundation are explicitly stated in the unit of competency. In most Training Packages the foundation skills are integrated into the unit of competency and this is clearly stated.  

        
       

Foundation skills essential to performance are explicit in the performance criteria of this unit of competency. 

        
     

 

  
           

To demonstrate competency, a candidate must meet the elements and performance criteria of this unit by conducting two different surveying datasets. 

  

 

        
       

Assessment 

  

Task 1: Sydney Manefield 

        
       

Assessment 

  

Task 2: Design Hub 

        
     

 

  
           

Knowledge Evidence   

        
       

 

        
   

Assessment 

  

Task 1: Sydney Manefield 

        
   

Assessment 

  

Task 2: Design Hub 

        
       

To be competent in this unit a candidate must demonstrate knowledge of: 

  

 

        
       

mathematical concepts relating to depth, dimension, direction, height and position 

        
   

 

        
   

Part B – Section 4 – KQ1 

        
       

different types of surveying equipment used to capture spatial data 

        
   

Part B – Section 4 – KQ1 

        
   

 

        
       

types of spatial data   

        
   

Part B – Section 4 – KQ2 

        
   

 

        
       

methods of spatial data capture   

        
   

Part B – Section 4 – KQ3 

        
   

 

        
       

key features of software applications used to compute measured spatial datasets 

        
   

Part B – Section 4 – KQ4 

        
   

 

        
       

spatial data formats and structures 

        
   

 

        
   

Part B – Section 4 – KQ2 

        
       

spatial data reduction techniques 

        
   

Part B – Section 4 – KQ5 

        
   

 

        
       

methods for comparing and checking different spatial datasets 

        
   

 

        
   

Part B – Section 4 – KQ3 

        
       

key features of spatial reference systems 

        
   

 

        
   

Part B – Section 4 – KQ4 

        
       

industry-accepted methods for assessing the validity and integrity of spatial data and resolving errors 

        
   

 

        
   

Part B – Section 4 – KQ5 

        
       

legislative requirements for accessing, storing, retrieving and archiving digital and hard copy spatial data, including data privacy, copyright and licensing.  

        
   

Part B – Section 4 – KQ6 & KQ7 

        
   

 

        
     

 

  
           

Assessment conditions 

  

 

        
       

Describe how assessments meet the assessment conditions 

        
       

Assessors must satisfy the requirements for assessors contained in the Standards for Registered Training Organisations.  

  

 

        
   

RMIT employment requires all trainers and assessors to comply with the Standards for RTOs in respect to holding the TAE40116, or higher VE qualification including any necessary updated units.  All employees must show currency within their vocational specialty along with their professional employment.  

        
       

Competency is to be assessed in the workplace or a simulated environment that accurately reflects performance in a real workplace setting where these skills and knowledge would be performed.  

        
   

Both Project are to be conducted at the RMIT Bundoora West Campus or City using existing Government control networks data to closely simulate industry procedures. 

        
       

Candidates must have access to: 

  
  • computer with software appropriate for integrating surveying datasets. 

      
  

 

        
   

Students have access to all accessories to simulate these projects. This includes specialised software like Liscad for network adjustments, analysis and visualisation of data. Students have access to engineering drawings and design plans to assist in the process of simulating these projects.  

        
     

 

  

Other Information

Attendance Requirement - 85% for all students.

 

Resubmission Policy: To pass this course, students must achieve a Satisfactory (S) result for all their Assessments (and parts of those assessments).

Students who do not achieve a Satisfactory (S) result for their entire original submission for an Assessment will be provided with 1 (one) more submission opportunity (e.g. the resubmission) with a specific due date by their assessor. Students must achieve a Satisfactory (S) result on their resubmission for that Assessment, by the due date given to them by their Assessor.

Students who fail to submit their assessment by the due date will be issued a DNS (Did Not Submit) result which will not be overturned by teaching or managing staff. A DNS result will be overturned based on an approved Extension of Time or approved Special Consideration.

To be deemed Competency Achieved, students must achieve a satisfactory result in all assessment tasks. Students who fail to receive a Satisfactory result on all assessment tasks and have exhausted their resubmissions, extension of time applications, special consideration applications or Equitable Learning Plan provisions will be deemed as Not Yet Competent.

Credit Transfer and/or Recognition of Prior Learning (RPL):

You may be eligible for credit towards courses in your program if you have already met the learning/competency outcomes through previous learning and/or industry experience. To be eligible for credit towards a course, you must demonstrate that you have already completed learning and/or gained industry experience that is:

 Relevant

 Current

Satisfies the learning/competency outcomes of the course

 

Please refer to http://www.rmit.edu.au/students/enrolment/credit to find more information about credit transfer and RPL.

Study and learning Support:

 

Study and Learning Centre (SLC) provides free learning and academic development advice to you.

Services offered by SLC to support your numeracy and literacy skills are:

 

  • Assignment writing, thesis writing and study skills advice
  • Maths and science developmental support and advice
  • English language development

 

Please Refer http://www.rmit.edu.au/study andlearningcentre to find more information about Study and learning Support

 

Equitable Learning Services (ELS):

 

If you are suffering from long-term medical condition or disability, you should contact Equitable Learning Services (ELS) to seek advice and support to complete your studies. Please refer to https://www.rmit.edu.au/students/support-and-facilities/student-support/equitable-learning-services to find more information about services offered by Equitable Learning Services (ELS).

Late submission:

 

If you require an Extension of Submittable Work (assignments, reports or project work etc.) for 7 calendar days or less (from the original due date) and have valid reasons, you must complete and lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.

The application must be lodged no later than one working day before the official due date. You will be notified within no more than 2 working days of the date of lodgment as to whether the extension has been granted.

If you seek an Extension of Submittable Work for more than 7 calendar days (from the original due date) must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days after the official due date.

 

Submittable Work (assignments, reports or project work etc.) submitted late without approval of an extension will not be accepted or marked.

 

 

Special consideration:

 

Please Refer http://www.rmit.edu.au/students/specialconsideration to find more information about special consideration

 

Plagiarism:

 

Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.

 

Please Refer: www.rmit.edu.au/academicintegrity to find more information about plagiarism.

 

Other Information:

 

All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.

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