Data Analysis in Science (1809.8)

Availability

• UC - Canberra, Bruce

  Year	Teaching Period	Convener		Mode of Delivery
  2020	Semester 2	DR   Margarita   MEDINA	(Ph: )	ON-CAMPUS
  2021	Semester 2	DR   Margarita   MEDINA	(Ph: )	ON-CAMPUS

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

• 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

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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.