Data Analysis in Science (1809.8)

Availability

• UC - Canberra, Bruce

  Year	Teaching Period	Convener		Mode of Delivery
  2020	Semester 2	DR   Adrian   DUSTING	(Ph: +61 2 62015941 )	ON-CAMPUS

Possible changes to your unit's learning activities and assessment items

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New learning activities and/or assessment items are available on your unit's UCLearn(Canvas) teaching site. Please contact your Unit Convener with any questions.

Unit Outlines

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• Semester 2, 2019, ON-CAMPUS, BRUCE (190229) - View
• Semester 2, 2018, ON-CAMPUS, BRUCE (181488) - View
• Semester 2, 2017, ON-CAMPUS, BRUCE (166000) - View
• Semester 2, 2016, ON-CAMPUS, BRUCE (149803) - View
• Semester 2, 2015, ON-CAMPUS, BRUCE (139231) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

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

On successful completion of this unit, students will be able to:

1. Recognise 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.

Assessment Items

Contact Hours

1 hour lecture, 3 hours tutorial per week.

Prerequisites

None.

Corequisites

None.

Assumed Knowledge

None.

Incompatible Units

5123 Business Statistics,
6540 Introduction to Statistics,
8730 Problem Evaluation and Resolution and
9522 Business Research Methods

Equivalent Units

None.