Courses & Units

Statistical Analysis Using R KMA711

Hobart

Note:

Students required to check the timetable for commencement date of this unit.

Please note results for this unit will not be available in time for August graduations.

Introduction

This unit is an introduction to quantitative data analysis techniques. Covering topics from basic inference through to generalised linear models, time series analysis and clustering and discrimination, this subject gives students the opportunity to become familiar with a variety of modern statistical techniques and their implementation using the R programming language.  Students will improve their ability to recognise good experimental design, choose appropriate analysis techniques, present their statistical analyses, and learn the importance of meeting statistical assumptions when analysing data.   The theoretical skills above will be reinforced using a combination of short exercises that contribute to a portfolio assignment, and a larger practical assignment that may involve the student’s own data, if available.

Summary

Unit name Statistical Analysis Using R
Unit code KMA711
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics & Physics
Coordinator

Dr Shane A. Richards

Teaching staff

A/Prof B Holland, A/Prof M Charleston, Mr D Palmer

Level Postgraduate
Available as student elective? Yes
Breadth Unit? No

Availability

Location Study period Attendance options Available to
Hobart Intensive Session Jun On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

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Key Dates

Study Period Start date Census date WW date End date
Intensive Session Jun 24/6/2019 28/6/2019 4/7/2019 14/7/2019

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

Unit census dates currently displaying for 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.

About Census Dates

Fees

Domestic

Band CSP Student Contribution Full Fee Paying (domestic) Field of Education
2 2018: $1,148.00 2018: $2,243.00 010103

Fees for next year will be published in October. The fees above only apply for the year shown.

Please note: international students should refer to this page to get an indicative course cost.

Requisites

Students must be enrolled in a PhD, Masters or Honours

Prerequisites

Teaching

Teaching Pattern

On-campus component - 8 days (over 3 weeks) 2-3hr lecture & 2-3hr practical, self study before and after on-campus sessions.

Assessment

2-3 assignments worth 100%

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

Co-op Bookshop links

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.