Geospatial - COMPGS8543
Stream Summary
Faculty: Faculty of Engineering
School: School of Computer Science and Engineering
Contact: School
Program: 8543 - Information Technology
Award(s):
Master of Information Technology (Specialisation)
View stream information for previous years
Stream Outline
Geospatial Technology is one of the fastest moving fields of Information Technology, gathering, processing and analysing geographically-referenced information which is used in an ever expanding range of mapping and decision-making applications, including environmental, land and resource management, scientific, strategic planning and development, commercial and military. Mastering the principles of hi-tech geospatial data acquisition and computer analysis systems allows one to resolve complex spatial data interrelationships, which in turn help to address many of the critical challenges of the 21st century: climate change; food, resources, energy & water scarcity; rapid urbanisation & population growth; environmental degradation; and disaster mitigation and management. Furthermore geospatial technologies and principles underpin the recent explosion in commercial apps such as location-based services on smartphones, and web mapping and geoinformation services such as Google Earth, Google Maps and Bing Maps.
The Geospatial stream in the Graduate Diploma and Master of Information Technology programs exposes students to the foundations of Geographic Information Systems, GPS Positioning, Satellite Imaging Systems and Remote Sensing as well as to the use of Data Warehousing and Data Mining techniques for the analysis of large databases of geospatial data.
The Geospatial stream in the Graduate Diploma and Master of Information Technology programs exposes students to the foundations of Geographic Information Systems, GPS Positioning, Satellite Imaging Systems and Remote Sensing as well as to the use of Data Warehousing and Data Mining techniques for the analysis of large databases of geospatial data.
Stream Structure
Students must complete 96 UOC in total, including:
- COMP9021 Principles of Programming (6 UOC)
- COMP9024 Data Structures & Algorithms (6 UOC)
- COMP9311 Database Systems (6 UOC)
- COMP9331 Computer Networks&Applications (6 UOC)
- COMP9900 Info Tech Project (6 UOC)
- GSOE9820 Project Management (6 UOC)
- 18 UOC from the Prescribed Electives (see below)
- 42 UOC of level-4 or higher COMP elective courses
Prescribed Electives:
Advanced Disciplinary Knowledge (ADK) requirement:
- at least 6 of the courses must come from the CSE ADK course list (see below)
Up to 2 of the non-ADK, non-prescribed elective courses can be replaced by level-4 or higher non-CSE courses.
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Advanced Disciplinary Knowledge Courses:
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Advanced Disciplinary Knowledge Courses:
- COMP3431 Robotic Software Architecture (6 UOC)
- COMP4121 Advanced & Parallel Algorithms (6 UOC)
- COMP4161 Advanced Verification (6 UOC)
- COMP4411 Experimental Robotics ( UOC)
- COMP4418 Knowledge Representation (6 UOC)
- COMP6714 Info Retrieval and Web Search (6 UOC)
- COMP9153 Algorithmic Verification (6 UOC)
- COMP9181 Language-based Software Safety (6 UOC)
- COMP9242 Advanced Operating Systems (6 UOC)
- COMP9243 Distributed Systems (6 UOC)
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9318 Data Warehousing & Data Mining (6 UOC)
- COMP9319 Web Data Compression & Search (6 UOC)
- COMP9323 e-Enterprise Project (6 UOC)
- COMP9333 Advanced Computer Networks (6 UOC)
- COMP9334 Systems Capacity Planning (6 UOC)
- COMP9335 Wireless Mesh&Sensor Networks ( UOC)
- COMP9336 Mobile Data Networking (6 UOC)
- COMP9417 Machine Learning & Data Mining (6 UOC)
- COMP9418 Advanced Machine Learning (6 UOC)
- COMP9441 Security Engineering ( UOC)
- COMP9444 Neural Networks, Deep Learning (6 UOC)
- COMP9517 Computer Vision (6 UOC)
- COMP9596 Research Project (12 UOC)
- COMP9900 Info Tech Project (6 UOC)
- COMP9945 Research Project (18 UOC)
Project Option
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
- completed (or have advanced standing in) 72uoc; and
- obtained agreement from a CSE academic supervisor; and
- maintained a distinction level performance in the program.
Project courses:
- COMP9596 Research Project (12 UOC)
- COMP9945 Research Project (18 UOC)
Students who take a research project course will be exempted from COMP9900 - Information Technology Project.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. For details on Advanced Standing and Exemptions, see the 8543 Master of Information Technology program description.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. For details on Advanced Standing and Exemptions, see the 8543 Master of Information Technology program description.
