Course Title: Surveying Programming

Part A: Course Overview

Course Title: Surveying Programming

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

PHYS1080

City Campus

Undergraduate

135H Applied Sciences

Face-to-Face

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

PHYS1080

City Campus

Undergraduate

171H School of Science

Face-to-Face

 Sem 2 2018,
Sem 2 2019,
Sem 1 2020,
Sem 2 2021,
Sem 2 2022,
Sem 2 2023

Course Coordinator: Dr Andrew Martin

Course Coordinator Phone: +61 3 9925 3853

Course Coordinator Email: andrew.martin@rmit.edu.au

Course Coordinator Location: 14.06.11


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

The aim of this course is to give students a basic introduction to applied scientific computation using a high level language. Applications include data analysis and visualization, image analysis, image manipulations and simple examples chosen from the fields of Geospatial Science and Surveying.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BH116 Bachelor of Applied Science (Surveying)(Hons) and BH117 Bachelor of Applied Science (Geospatial Science)(Hons)

1.1 Describe the fundamental and applied scientific knowledge that underpins surveying and 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 surveying and geospatial science

2.1 Apply standard and advanced techniques to solve a range of measurement and data management problems.

2.2 Proficiently perform computations in two and three dimensions.

2.3 Be proficient in the recording, storage, management and reporting of spatial information.

3.1 Design and implement creative solutions to complex problems.

3.2 Interpret and critically analyse results and make informed judgments on the appropriateness of solutions.

3.3 Apply critical and analytical skills in a scientific and professional manner.

4.1 Communicate effectively by means of oral, written and graphical presentations to peers and a wider audience  

 


Upon successful completion of this course, you will be able to:

  1. Have a basic knowledge of computing hardware and a programming language and its use in science
  2. Analyse data and solve problems using computational tools
  3. Use appropriate language to describe and report on the use of computational tools to analyse and solve problems


Overview of Learning Activities

 

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course


Overview of Learning Resources

 

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course. 

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks:

Assessment Task 1: Practical exercises:  
Weighting: 50% 
This assessment task supports CLOs 1, 2, 3 

Assessment Task 2: Online tutorial tests: 
Weighting: 15% 
This assessment task supports CLO 1 

Assessment Task 3: End-of-semester written assignment: 
Weighting: 35% 
This assessment task supports CLOs 1, 3 

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.