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Data Analysis in Science (1809.7)

Level: Undergraduate First Year Level
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Science


Unit Outlines

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  • Semester 2, 2017, ON-CAMPUS, BRUCE (166000) - View
  • Semester 2, 2016, ON-CAMPUS, BRUCE (149803) - View
  • Semester 2, 2015, ON-CAMPUS, BRUCE (139231) - View

To locate a Unit Outline for a Unit prior to 2015 click here.

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This subject gives students an understanding of the application of elementary and numerical techniques used in natural sciences assessment and management. It also introduces students to the concepts and techniques used in the modelling of interactive systems.

Learning Outcomes


1. Recognize essential elements of their research system and understand particular principles of simple system analysis;

2. Design and conduct an experiment within a quality control and assurance framework;

3. Collect and manipulate data that are both of a numerical and non-numerical character;

4. Comprehend, apply and interpret the results of standard data analysis and statistical methods including descriptive statistics, parametric and non-parametric hypothesis testing, linear regression, and simple analyses of variance and be able to express these effectively in a written environment;

5. Use standard statistical packages such as SPSS as well as Excel to prepare, manipulate and process data; and

6. Integrate quantitative information with statistical outcomes towards developing an understanding of a research topic.

Contact Hours

1 hour lecture, 3 hours tutorial per week





Assumed Knowledge


Incompatible Units


Equivalent Units


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