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 Quantative data analysis techniques. Covering topics from basic inference through o generalized linear models, time series analysis and clustering and discrimination, this subject gives students the opportunity to become familiar with a variety of statistical techniques.  Students will improve their ability to recognise good experimental design, choose appropriate analysis techniques and learn the importance of meeting statistical assumptions when analysing data.   The theoretical skills above will be reinforced with a large practical component in which student ill learn how to conduct analyses using the statistical program R.

Summary

Unit name Statistical Analysis Using R
Unit code KMA711
Credit points 12.5
Faculty/School Faculty of SET, AMC, IMAS
School of Physical Sciences
Discipline Mathematics and Physics
Coordinator

Teaching staff

Mrs M Humphries, A/Prof B Holland, Dr J Sumner, A/Prof M Charleston, Mr D Palmer, Dr Shane Reynolds

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

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.

Special approval is required for enrolment into TNE Program units.

TNE Program units special approval requirements.

Key Dates

Study Period Start date Census date WW date End date
Intensive Session Jun 25/6/2018 29/6/2018 5/7/2018 15/7/2018

* 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 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.

About Census Dates

Fees

Domestic

Band Field of Education

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.