Course Title: Collate and interpret spatial data
Part B: Course Detail
Teaching Period: Term1 2011
Course Code: GEOM5102C
Course Title: Collate and interpret spatial data
School: 130T Vocational Engineering
Campus: City Campus
Program: C5237 - Diploma of Spatial Information Services
Course Contact: Program Manager
Course Contact Phone: +61 3 9925 4468
Course Contact Email: engineering-tafe@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
William Ntuwah
+61 3 9925 4445
Nominal Hours: 20
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
This unit of competency specifies the outcomes required to collate and interpret spatial data to provide the dataset required for project deliverables, often in a supervisory capacity. It requires the ability to apply theoretical spatial concepts to a range of situations in order to identify and interpret the appropriate information, according to client requirements. Functions would be carried out within organisational guidelines.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
CPPSIS5010A Collate and interpret spatial data |
Element: |
1 Access data |
Performance Criteria: |
1.1 Spatial datasets are retrieved from relevant data storage. |
Element: |
2 Query and interpret data. |
Performance Criteria: |
2.1 Relevant sources and data are identified and accessed. |
Element: |
3 Collate data |
Performance Criteria: |
3.1 Spatial and aspatial requirements are collated to meet organisational needs. |
Element: |
4 Test and validate collated spatial data. |
Performance Criteria: |
4.1 Tools for testing the validity of the information and data are identified and accessed or developed. |
Learning Outcomes
Refer to elements
Details of Learning Activities
Teacher led :
Classroom &/or tutorial instruction in the outcomes required to collate and interpret spatial data to provide the dataset required for project deliverables,and tasks associated with the elements above including the use of computers and relevant software/s, capabilities of survey methodologies and technologies in a simulated workplace environment.
Student managed:
Develop data management strategies to determine suitable sources of information for the creation of new spatial data sets to industry standards.
Participation in group activities based on simulated workplace exercises.
Individual exercises carrying out research, computations, data compilation and appraisal.
Teaching Schedule
This is an indicative teaching schedule, refer to the Blackboard for any changes or announcements.
Session/Date |
Topic | Comments/Assessment |
1/08 Feb 2011 |
Introduction to GIS • Esri Introduction |
Brief overview of semester 1 Class task |
2/ 15 Feb 2011 |
Creating Map • Add data into ArcMap
|
Class task |
3/22 Feb 2011 |
Map layout • Identify Good and Bad layouts • Create personal layout file (.mxt) • Draw graphics to a Map - Covering element 4
|
Class task |
4/1 March 2011 |
Displaying Data • Change display symbols covering element 1 • Identify features- covering element 2 • Identify features - covering elent 3 • Insert map elements covering element 5 • Lay out a map - coverinf elent 4 |
Class task |
5/8 March 2011 |
Working with Geographic features • Map each land use type covering element 1 • Add data to your map-covered in element 2 • draw features based on an attribute - Covered in element 3 • Select specific features - Covered in element 4
|
Assignment 1 |
6/15 March 2011 |
Attribute table • Define each field in the table- Covered in element 1 • Verify linkage of attribute data and spatial data with unique feature ID- Covered in element - Covered in element 4 • Manipulate Fields and Attribute data • Import files in delimited text, dBASE and Excel - Covered in elment 5 |
Class Task |
7/22 March 2011 |
Joining Tables Get information about features-Covered in element 1 Combine attribute data from different tables into a single table - Covered in element 3 Establish two relates among three tables - Covered in element 3 Create new attribute by data classification- Covered in element 3
|
Class Task Assignment 1 Due date |
8/29 March 2011 |
Querying Data Analyse feature relationships- Covered in element 1 Retrieve a data subset by attribute data query - Covered in element 2 |
Class Task |
9/5 April 2011 |
Querying Data Select features by Cursor |
Class task |
10/12 April 2011 |
Analysing feature relationships Prepare data for analysis- Covered in element 1 Dissolve features
|
Class Task Assignment 2
|
11/19 April 2011 |
Creating and Editing data Building geodatabases - Covered in element 1 Create a personal geodatabase-Covered in element 3 Create feature classes |
Class Task |
12/26 April 2011 |
Creating and Editing data • Draw features • Edit feature attribute values • Delete and modify features |
Class Task |
13/3 May 2011 |
Research and Presentation Use the library for research - Covered in element 1 |
Assignment 2 Due date |
14/10 May 2011 |
Analysing Spatial data Buffer features - Covered in element 1 Calculate attribute values-Covered in element 5 |
Class Task |
15/17 May 2011 | HOLIDAY | NO CLASSES |
16/24 May 2011 |
Class presentation Each group to present findings |
Class Task |
17/31 May 2011 | Revision | |
18/7 June 2011 | TEST |
Learning Resources
Prescribed Texts
Acts and Regulations Occupational Health and Safety Commission. |
References
http://www.rmit.edu.au/ - Online@RMIT – Program and Course information, documents, resources and links. |
Other Resources
Overview of Assessment
A person who demonstrates competency in this unit must be able to provide evidence of:
• taking responsibility for own outputs in work and learning
• using relevant data by manipulating and analysing it to meet the client’s requirements, including:
• applying operational knowledge in a broad range of areas relating to linking datasets and knowledge management
• applying organisational skills and prioritising activity
• applying solutions to a range of problems
• devising and implementing a cost-effective functional solution
• examining suitability of existing arrangements
• keeping records accurately
• measuring outcomes against specifications
• performing a range of tasks where choice between a substantial range of options is required.
Assessment Tasks
Grading Criteria
NYC 0-49% Not yet competence
CP 50 – 59% Competence
CCR 60 – 69% Competence with credit
CDI 70 – 79% Competence with distinction
CHD 80-100% Competence with high distinction.
Academic Misconduct
Students are reminded that cheating, whether by fabrication, falsification of data, or plagiarism, is an offence subject to University disciplinary procedures. Plagiarism in oral or written presentations is the presentation of the work, idea or creation of another person, without appropriate referencing, as though it is one’s own. Plagiarism is not acceptable. The use of another person’s work or ideas must be acknowledged. Failure to do so may result in charges of academic misconduct which carry a range of penalties including cancellation of results and exclusion from your course. Students are responsible for ensuring that their work is kept in a secure place. It is also a disciplinary offence for students to allow their work to be plagiarized by another student. Students should be aware of their rights and responsibilities regarding the use of copyright material. It is strongly recommended that students refer to the RMIT 2001 Guidelines for Students or to the RMIT University Homepage.
Assessment 1 = Assignment 20% due Week 7
Assessment 2 = Assignment 20% due Week 13
Assessment 3 = Presentation 20% on Week 16
Assessment 4 =TEST 40% on Week 18
Assessment Matrix
This unit will be assessed in a simulated workplace under the normal range of work conditions.
Assessment Task | Element | Percentage loading |
Assignment 1 | Element 1,2,3,4 & 5 | 20% |
Assignment 2 | Element 1,2,3,&4 | 20% |
Assignment 3 | Element 1&3 | 20% |
TEST | Element 1,2,3,4 & 5 | 40% |
Other Information
Course Overview: Access Course Overview