Course Title: GIS Principles

Part A: Course Overview

Course Title: GIS Principles

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GEOM1163

City Campus

Postgraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016

GEOM1163

City Campus

Postgraduate

171H School of Science

Face-to-Face

Sem 2 2017,
Sem 2 2018,
Sem 2 2019,
Summer2020,
Sem 2 2020,
Sem 2 2021

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GEOM1163

City Campus

Postgraduate

171H School of Science

Face-to-Face

PGRDFx2020 (ZZZZ),

PGRDFx2020 (All)

Course Coordinator: Dr Gang-Jun Liu

Course Coordinator Phone: +61 3 99252425

Course Coordinator Email: gang-jun.liu@rmit.edu.au

Course Coordinator Location: 012.12.17

Course Coordinator Availability: By appointment, by email


Pre-requisite Courses and Assumed Knowledge and Capabilities

GEOM1159 GIS Fundamentals or an equivalent course covering:
 

  1. Demonstrate extended knowledge of geographical information science and principles and critical abilities of spatial data analysis using GIS;
  2. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of vector data analysis;
  3. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of raster data analysis;
  4. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of network analysis; and
  5. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of suitability analysis.


Course Description

This course extends your prior knowledge of geographic information science, introduces you to principles of spatial data analysis using GIS and enhances your skills in performing GIS operations for spatial analysis with both vector and raster datasets. Topics covered in this course include: principles, procedures and operations for vector data analysis, raster data analysis, network analysis and suitability analysis.


Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following Program Learning Outcomes for MC265 Master of Geospatial Science:


1.2 Demonstrate in-depth understanding of spatial models and mathematical methods used in contemporary practice.
1.3 Identify and elaborate specialist bodies of knowledge in surveying and geospatial science.
2.1 Apply standard and advanced techniques to solve a range of measurement and data management problems.
2.3 Be proficient in the recording, storage, management and reporting of spatial information.
3.2 Interpret and critically analyse results and make informed judgments on the appropriateness of solutions.
4.1 Communicate effectively by means of oral, written and graphical presentations to peers and a wider audience.
6.2 Work with others and contribute in a constructive manner to group and team activities.


On completion of this course you will be able to:

  1. Demonstrate extended knowledge of geographical information science and principles and critical abilities of spatial data analysis using GIS;
  2. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of vector data analysis;
  3. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of raster data analysis;
  4. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of network analysis; and
  5. Design, implement and evaluate suitable GIS-based spatial data analysis procedures for set tasks of suitability analysis.
     


Overview of Learning Activities

The learning activities you will be involved in are:

  • studying course materials, where syllabus material including key concepts and procedures will be presented, explained, investigated, and illustrated with examples;
  • conducting lab-based practical / project works, where practical tutorials and projects will be demonstrated and discussed and feedback on your progress will be provided, guiding you to develop competencies in critical application of GIS operations and capacity for creative problem solving;
  • participating consultation / feedback sessions, group discussions, and class presentation; and
  • timely completing written assignments (lab and project reports, class practical exercises) consisting of problem-solving tasks requiring integrated understanding of the subject matter. 


Overview of Learning Resources

You will be able to access course information and learning materials through electronic distribution on Canvas. You will also be able to use supported GIS software (including ArcGIS) and computer laboratories for practical tutorials and projects and written assignments.


A  library subject guide is available at: http://rmit.libguides.com/geospatial


Overview of Assessment

This course has no hurdle requirements.
Assessment task 1: Class Practical Exercises 1-4

  • Supporting CLOs 1, 2, 3, 4 and 5
  • Weighting 30%

Assessment Task 2: Lab Practical Exercises 1-4

  • Supporting CLOs 1, 2, 3, 4 and 5
  • Weighting 30%

Assessment Task 3: Project Consultation and Presentation

  • Supporting CLOs 1, 2, 3, 4 and 5
  • Weighting 10%

Assessment Task 4: Project Submission

  • Supporting CLOs 1, 2, 3, 4 and 5
  • Weighting 30%