Course Title: Data Analysis (AD)

Part A: Course Overview

Course Title: Data Analysis (AD)

Credit Points: 12.00


Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH2210

City Campus

Undergraduate

155T Vocational Health and Sciences

Face-to-Face

Sem 1 2014,
Sem 1 2015,
Sem 1 2016

Course Coordinator: Judith McCann

Course Coordinator Phone: +61 3 9925 8366

Course Coordinator Email: judith.mccann@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

You will learn fundamental mathematical and statistical techniques used by a range of scientists in the laboratory and in the analysis of scientific data.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for AD012 Associate Degree in Applied Science:
1. Knowledge Capability: develop an understanding of appropriate and relevant fundamental and applied scientific knowledge with the ability to use and apply that knowledge in a wide range of situations, including new situations within the professional discipline.
3. Problem Solving: apply scientific principles and methods to identify and solve problems associated with a particular area of professional expertise.
4. Teamwork: contribute in a constructive manner to group and team activities and decision making processes


 On completion of this course you should be able to:
1. collect, analyse and report data for research & scientific purposes
2. read and evaluate information and use it to forecast for planning or research purposes
3. use the statistical software package, ‘Minitab’


Overview of Learning Activities

In this course you will learn through the following activities:
• Face to face teaching: to develop underpinning knowledge about fundamental mathematical and statistical techniques needed in a science laboratory (or by scientists).
• Computer lab classes using the statistical software package Minitab.
• Personal reading: (e.g. prescribed sections of textbooks and relevant articles): to reinforce/strengthen your understanding of principles and applications.
• Problem Solving
• Research and report presentation: The students will be able to collect, analyse and report data for research purposes. They will also be able to read and evaluate information and use it
to forecast for planning or research purposes.


Overview of Learning Resources

Students will have access to computer labs and the statistical software package, Minitab. You will also need to read sections of recommended textbooks/websites and may be referred to other resources available in the Library.


Overview of Assessment

This course has no hurdle requirements.

Assessment tasks

Early Assessment Task: Quiz 1
Weighting 15%
This assessment task supports CLOs 1 & 2

Assessment Task 2: workbook assessment
Weighting 15%
This assessment task supports CLOs 1 & 2

Assessment Task 3: Assignment
Weighting 15%
This assessment task supports CLO 3

Assessment 4: Quiz 2
Weighting 15%
This assessment supports CLOs 1 & 2

Assessment 5 : Exam
Weighting 40%
This assessment task supports CLO 1, 2 & 3