Course Title: Statistics and Epidemiology

Part A: Course Overview

Course Title: Statistics and Epidemiology

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH1238

Bundoora Campus

Undergraduate

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

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2017,
Sem 1 2019,
Sem 1 2020,
Sem 1 2021,
Sem 1 2022

MATH2170

City Campus

Undergraduate

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

Undergraduate

171H School of Science

Face-to-Face

Sem 2 2017,
Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021,
Sem 2 2022

Course Coordinator: Assoc. Prof. Stelios Georgiou

Course Coordinator Phone: +61 3 9925 3158

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

Course Coordinator Location: 15.04.020

Course Coordinator Availability: By appointment, by email


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. Short videos, lectorial sessions and practical applications 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 practical assessments.


Overview of Learning Resources

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


Overview of Assessment

Note that: This course has no hurdle requirements. 

Assessment Tasks 

Assessment Item 1: Theoretical and applied laboratory Assignments
Weighting 45%
This assessment task supports CLOs 1, 2, 3, 4, 5, and 6

Assessment item 2: Authentic Practical Assessments
Weighting 15%
This assessment task supports CLOs 1, 2, 3, 4, 5, & 6

Assessment item 3: Summative Assessments
Weighting 40%
This assessment task supports CLO 1, 2, 3, 4, 5, & 6