Course Title: Advanced GIS
Part A: Course Overview
Course Title: Advanced GIS
Credit Points: 12.00
171H School of Science
Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021
Course Coordinator: Dr Qian (Chayn) Sun
Course Coordinator Phone: +61 3 9925 5227
Course Coordinator Email: firstname.lastname@example.org
Course Coordinator Location: 012.12.016
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
GEOM1159 (GIS Fundamentals) and GEOM1163 (GIS Principles), or equivalent course(s), or provide evidence of equivalent capabilities.
To successfully complete this course, you should have:
- Knowledge of key components of a geographical information system (GIS), important GIS functionalities to manage geospatial data, and mainstream GIS applications;
- the ability to use a GIS software with given digital geospatial datasets to produce cartographically sound digital maps
- the ability to carry out GIS-based spatial data analysis procedures
This course introduces you to open source and cloud-based solutions for GIS. There is also a strong emphasis on spatial databases and the use of ‘open data’. The course focusses on the use of new and emerging technologies for the management, analysis, interpretation , presentation, and dissemination of spatial information. There is a strong practical component and you will implement a number of sequential tasks using different software systems which contribute to your own spatial analysis project using open data and open source or cloud-based GIS solutions. To achieve the goal, you will also develop soft skills of project management, GIS marketing, communication and entrepreneurship.
Objectives/Learning Outcomes/Capability Development
On completion of this course you should be able to:
- Use a range of open source and cloud-based GIS software
- Create a spatial database
- Explain the standards applicable to web GIS services
- Publish a web mapping service
- Write a reflective journal describing the development of your learning in the course
- Develop a cloud-based solution to a GIS analysis problem using publicly available data
This course contributes to the development of the following Program Learning Outcomes for program MC265 (Master of Geospatial Science):
1.2 Demonstrate in-depth understanding of the spatial models and mathematical methods used in contemporary practice.
1.3 Identify and elaborate specialist bodies of knowledge in the geospatial sciences.
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.
6.1 Be self-motivated and personally responsible for your actions and learning.
6.2 Professionally manage and use spatial information.
Overview of Learning Activities
You will be actively involved in a variety of learning activities, such as:
- lectures, where syllabus material will be presented and explained, and key concepts and procedures will be illustrated with examples and demonstrations.
- structured practical sessions, where tutorials and projects will be conducted and discussed, enabling you to develop competencies in applying GIS operations critically and solving practical problems creatively.
- completion of demonstrator projects and your own larger project that require investigation and problem solving, leading to an integrated understanding of the subject matter.
- a reflective journal, where you describe the learning challenges faced and the development of your own knowledge and understanding of the key concepts in the course
Overview of Learning Resources
You will be able to access course information and learning materials through Canvas and will be provided with copies of additional materials in class. Lists of relevant reference texts, resources in the library and freely accessible Internet sites will be provided. You also have access to virtual computing environments, practical demonstration, GIS software, computer laboratories for practical tutorials, projects and written assignments.
Overview of Assessment
This course has no hurdle requirements.
Online discovery task and Reflective journal
This assessment task supports CLOs 1&5
QGIS & CartoDB exercise
This assessment task supports CLO 1, 2,3 & 4
Individual Project exercise
This assessment supports CLOs 1, 2,3, 4 & 6
Course review, Project report and dissemination
This assessment supports CLOs 1, 2,3, 4 & 5