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Area/Catalogue
COMP 2032

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Course Level
Undergraduate

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Offered Externally
Yes

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Course ID
164322

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Unit Value
4.5

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University-wide elective course
No

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Timetable/s

This class has not been
timetabled for year 2020.

Course owner

Course owner
School of Information Technology and Mathematical Sciences

Course aim

Effective use of R for the analysis of large data sets.

Course content

The R language.

Preparing data for analysis using R.

Exploratory data analytics  of large data sets using R.

Multivariate statistical analysis.

Using R to present the results of data analytics.


Textbook(s)

Nil

Prerequisite(s)

Common to all relevant programs
Subject Area & Catalogue Number Course Name
COMP 2012 Data Structures
MATH 2030 Applied Probability

Corequisite(s)

Nil

Teaching method

Component Duration
INTERNAL, MAWSON LAKES
Lecture 2 hours x 13 weeks
Computer Practical 1 hour x 12 weeks
INTERNAL, CITY WEST
Lecture 2 hours x 13 weeks
Computer Practical 1 hour x 12 weeks
EXTERNAL, MAWSON LAKES, ONLINE
Online N/A x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.


Assessment

Task Length Weighting Duration
INTERNAL, MAWSON LAKES
Continuous assessment N/A 25% N/A
Assignment 2000 words 35% N/A
Project 2500 words 40% N/A
INTERNAL, CITY WEST
Continuous assessment N/A 25% N/A
Assignment 2000 words 35% N/A
Project 2500 words 40% N/A
EXTERNAL, MAWSON LAKES, ONLINE
Continuous assessment N/A 25% N/A
Assignment 2000 words 35% N/A
Project 2500 words 40% N/A

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
How to determine your Commonwealth Supported course fee. (Opens new window)

Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the Division offering the course. To determine the cost of this course, go to:
How to determine the relevant non award tuition fee. (Opens new window)

Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation

Course Coordinators

School of Information Technology and Mathematical

Degrees this course is offered in

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