Course Title: GIS Fundamentals

Part A: Course Overview

Course Title: GIS Fundamentals

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

GEOM1159

City Campus

Postgraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 2 2006,
Sem 1 2007,
Sem 2 2007,
Sem 2 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
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 1 2016,
Sem 2 2016

GEOM1159

City Campus

Postgraduate

171H School of Science

Face-to-Face

Sem 1 2017

GEOM1161

City Campus

Undergraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2009

GEOM2041

City Campus

Research

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2016

Course Coordinator: Assoc. Prof. Colin Arrowsmith

Course Coordinator Phone: +61 3 9925 2042

Course Coordinator Email: colin.arrowsmith@rmit.edu.au

Course Coordinator Location: 12.11.17


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

This course introduces you to the key facets of geographic information science.
You will review definitions for GIS, including the distinction between GISSystem and GIScience. A brief history of GIS is provided. The special characteristics of spatial, or geographic, data are then reviewed. Scale, orientation and projection are introduced. You will explore digital models of spatial data and methods for acquiring, transforming and manipulating it. Raster and vector models are discussed, including the rationale for using either or both of these data structures. Topological relationships between spatial objects are also addressed.
In addition to spatial data, attribute or textual data is an important component in any GIS. You will explore how attribute data can be stored and analysed. The relational database model and entity relationship modelling will be evaluated as convenient methods for the storage of attribute information.

Case studies, where spatial information and the application of GIS has been an integral component, will assist your learning. 
 


Objectives/Learning Outcomes/Capability Development

On completion of this course you should be able to:

1. Describe the broad concept and principles of GIS, recognising the distinction between GISytems and GIScience
2. Identify the special characteristics of spatial data and define and contrast the two primary methods for storage, manipulation and analysis of spatial information
3. Identify and apply the various types of attribute data
4. Discuss the design and operation of the relational database management system model and its relationship to the geodatabase model
5. Be able to implement a basic scripting tool using ModelBuilder
6. Demonstrate how GIS can be applied to real-world applications
 


This course contributes to the development of the following Program Learning Outcomes in MC058 Master of Applied Science (Geospatial Science):

1.1  Describe the fundamental and applied scientific knowledge that underpins the geospatial sciences.
1.2  Demonstrate in-depth understanding of the spatial models and mathematical methods used in contemporary practice.
1.3  Understand specialist bodies of knowledge in geospatial science.
2.1  Apply standard and advanced techniques to solve a range of measurement and data management problems.
1.4  Discern research directions and advances within 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.
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.
 


Overview of Learning Activities

In this course you will actively participate in a series of lectures and practical classes. You will work on the practical component in fortnightly exercises. This will involve an introduction to data models used within GIS; more detailed exercises using vector and raster data; construction of a geodatabase and editing input data; development of a basic ModelBuilder generated tool; and a 3D GIS development using web based resources. You can access the course material online via Blackboard LMS. This material will include lecture summaries, video links, and practical exercises.  Tutorial exercises will also be conducted online.

Two hours of lectures and two hours of practical exercise per week contact.  There are also six tutorial exercises online.  A research project is conducted as an individual exercise outside class time. You should expect to spend a minimum of four hours per week in independent study.
 


Overview of Learning Resources

As a student enrolled in this course at RMIT University you can access the extensive learning resources provided in the school and in the RMIT Library, such as books, journals and other course-related materials (electronic and paper-based) Our library offers extensive services and facilities, geared to assist you in completing your studies successfully. Furthermore we will recommend specific text books, websites covering course content plus recommendations for further readings and engage you in a discussion board. Computer Labs with the required software are also available for your study.
A library subject guide is available at: http://rmit.libguides.com/geospatial
 


Overview of Assessment

Assessment Tasks:

The assessment consists of two (2) class tests (30% of total result), one (1) research report (40%) and practical exercises (30%). You will receive feedback on your progress throughout the course.

Early Assessment Task:  Practical exercise 1
Weighting 6%
This assessment task supports CLO 1, 2, 3, 4 and 6.

Assessment Task 2:  Practical exercise 2
Weighting 6%
This assessment task supports CLO 2, 3 and 6.

Assessment Task 3:  Class test 1
Weighting 15%
This assessment task supports CLO 1, 2, 3, 4, and 6.

Assessment Task 4: Practical exercise 3
Weighting 6%
This assessment task supports CLO 2, 3, 4 and 6.

Assessment Task 5: Research Report
Weighting 40%
This assessment task supports CLO 2, 3, 4, 5 and 6.

Assessment Task 6: Practical exercise 4
Weighting 6%
This assessment task supports CLO 2, 3, 4, 5 and 6.

Assessment Task 7: Practical exercise 5
Weighting 6%
This assessment task supports CLO 3, 4 and 5.

Assessment Task 8: Class test 2
Weighting 15%
This assessment task supports CLO 2, 3, 4, 5 and 6.