| Semester 1, 2022 Online | |
| Units : | 1 |
| Faculty or Section : | Faculty of Health, Engineering and Sciences |
| School or Department : | School of Surveying & Built Environment |
| Grading basis : | Graded |
| Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Examiner:
Requisites
Pre-requisite: GIS1402 and CSC1401 or Students must be enrolled in one of the following Programs: GDST or MSST or GCST or MENS or MSPT
Overview
Spatial professionals and other users in the GIS industry require a sound knowledge of geodatabases, scripting languages for geoprocessing, and visualisation of spatial data. Having some competence in these key areas has become a critical requirement in providing solutions to GIS tasks and projects. A geodatabase is a spatial database designed to store, query, and manipulate geographic information and spatial data. GIS programming allows GIS users to automate repetitive tasks and to present a custom interface. Visualisation technologies provide powerful tools for presenting, interpreting and analysing of these data sets.
In this course, students will learn about Python scripting language for GIS programming, geodatabase design and implementation, spatial data visualisation in GIS, and 3D visualisation using markup language.
Course learning outcomes
The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:
- demonstrate an understanding of GIS programming techniques;
- use an object orientated approach to write Python programs for GIS;
- demonstrate knowledge of Python applications implemented in ArcGIS;
- demonstrate an understanding of geodatabase concepts;
- design and implement a geodatabase;
- demonstrate an understanding of methods, like digital elevation models, used to visualise spatial data;
- create 3D visualisations using a markup language.
Topics
| Description | Weighting(%) | |
|---|---|---|
| 1. | Introduction to GIS programming | 10.00 |
| 2. | Python operations in GIS | 10.00 |
| 3. | Practical Python for GIS analysis | 10.00 |
| 4. | Development of custom GIS functionality | 10.00 |
| 5. | Geodatabase architecture | 10.00 |
| 6. | Geodatabase design | 10.00 |
| 7. | Geodatabase implementation | 10.00 |
| 8. | Geodatabase applications | 10.00 |
| 9. | 3D features and surface analysis techniques | 10.00 |
| 10. | 3D visualisation of spatial data | 10.00 |
Text and materials required to be purchased or accessed
Student workload expectations
To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.
Assessment details
| Description | Group Assessment |
Weighting (%) | Course learning outcomes |
|---|---|---|---|
| Problem Solving 1 | No | 20 | 1,2,3 |
| Problem Solving 2 | No | 30 | 1,2,3,4,5 |
| Time limited online examinatn | No | 50 | 1,2,3,4,5,6,7 |