# Course Title: Statistics and Epidemiology

## Part A: Course Overview

Course Title: Statistics and Epidemiology

Credit Points: 12.00

## Terms

### Teaching Period(s)

MATH1238

Bundoora Campus

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016

MATH1238

Bundoora Campus

171H School of Science

Face-to-Face

Sem 1 2017

MATH2170

City Campus

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2015,
Sem 2 2016

MATH2170

City Campus

171H School of Science

Face-to-Face

Sem 2 2017

Course Coordinator: Dr Stelios Georgiou

Course Coordinator Phone: +61 03 9925 3158

Course Coordinator Email: stelios.georgiou@rmit.edu.au

Course Coordinator Location: 8.09.74

Pre-requisite Courses and Assumed Knowledge and Capabilities

You are expected to have mathematical capabilities commensurate to a Year 12 standard.

Course Description

This course introduces the fundamentals of statistical data analysis and reasoning. Emphasis is placed in particular on describing and analysing data. The course will help you develop a base of knowledge of statistical packages and provides a very effective introduction to the use of statistics in science. Theoretical components will be used in other courses where experimental results are collected and are statistically analysed. The basics of epidemiology and its applicability to health, medical and applied sciences is introduced.

Objectives/Learning Outcomes/Capability Development

On completion of this course you will be able to:

1. Evaluate basic methods of investigating and collecting statistical information.
2. Present, evaluate and analyse statistical data in a useful and clear manner.
3. Demonstrate an ability to analyse and interpret basic epidemiological, health monitoring and accident data using methods studied in this course.
4. Communicate the information gained from statistical analyses in an effective way.
5. Explain basic concepts, constructs and principles foundational to epidemiology.
6. Review, interpret and communicate epidemiological findings from literature.

This course is at introductory level and contributes to a number of different Programs and Program Learning Outcomes in the Medical Laboratory, Biomedical, Health and Applied Science streams.

Overview of Learning Activities

Through lectorials, laboratory exercises and associated assessments you are encouraged to develop your critical thinking skills. Lectures and practical experiments will give the students a wide range of learning activities designed to cover all aspects of statistics and epidemiology. Activities include guided and self-directed work, laboratory sessions, and examinations.

Teacher Guided Hours: 36 hours per semester consisting of two hours of class lectures and one hour of lab/tutorial per week. Lectures and labs/tutorials will be conducted on a face-to-face basis.

Learner Directed Hours: Students are expected to spend seven (7) hours per week outside classes on independent learning activities and reviewing the provided resources.

Overview of Learning Resources

A Scientific Calculator is required. Notes and materials are given via Blackboard. You will be expected to make use of the Blackboard course site which includes announcements, course documents (including notes, assignments), tests and past exams. http://rmit.libguides.com/mathstats

Overview of Assessment

Assessment will be through a mixture of exercises, tests/quizzes and a final exam. While attendance at lectures is not compulsory, you will find that regular attendance is necessary as lectures will be important aspects of the learning experience.

Note that:
☒This course has no hurdle requirements.

Early Assessment Task: On line Quiz
Weighting 3%
This assessment task supports CLOs 1, 2, 3, 4, 5, and 6

Weighting 10%
This assessment task supports CLOs 1, 2, 3, 4, 5, and 6

Assessment Task 2:  Computer Labs - on line assignments
Weighting 16%
This assessment task supports CLOs 1, 2, 3, 4, 5, & 6

Assessment Task 3: On line tests/quizzes
Weighting 21%
This assessment task supports CLO 1, 2, 3, 4, 5, & 6