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GIS3407 GIS Programming and Visualisation

Semester 1, 2023 Online
Units : 1
School or Department : School of Surveying & Built Environment
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Course Coordinator:

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:

  1. demonstrate GIS programming techniques;
  2. use an object orientated approach to write Python programs for GIS;
  3. develop Python applications in GIS;
  4. explain concepts and structure of geodatabase;
  5. design and implement a geodatabase;
  6. conductor analyse 3D features and surface analysis for spatial data visualisation;
  7. 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

There are no texts or materials required for this course.

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

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Problem Solving 1 No 25 1,2,3,4
Assignments Written Problem Solving 2 No 35 1,2,3,4,5,6,7
Assignments Written Problem Solving 3 No 40 1,2,3,4,5,6,7
Date printed 9 February 2024