STAT318-24S1 (C) Semester One 2024

Data Mining

15 points

Details:
Start Date: Monday, 19 February 2024
End Date: Sunday, 23 June 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 3 March 2024
  • Without academic penalty (including no fee refund): Sunday, 12 May 2024

Description

Parametric and non-parametric statistical methodologies and algorithms for data mining.

STAT318 is a course in statistical learning and data mining, suited to anyone with an interest in analysing large datasets. This course will introduce a variety of statistical learning and data mining techniques for classification, regression, clustering and association purposes. Possible topics include, classification and regression trees, random forests, Apriori algorithm, FP-growth algorithm and support vector machines. The lectures will be supplemented with laboratory sessions using the statistical software package R.

Learning Outcomes

  • The courses will:
  • introduce statistical learning and data mining
  • introduce advanced data analysis techniques for classification, regression, cluster analysis and association analysis
  • introduce the use of the statistics software package R

    You will be able to:
  • describe and conduct appropriate statistical modeling techniques
  • be able to interpret the analysis results in such a way that a non-user of statistics can understand
  • Use R competently
  • Write a scientific and technical report

Prerequisites

15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT, COSC, DATA, MATH or EMTH

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 Rehua 103 Project Workshop
19 Feb - 31 Mar
22 Apr - 2 Jun
Lecture B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 A8 Lecture Theatre
19 Feb - 31 Mar
22 Apr - 2 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 13:00 - 14:00 Rehua 008 Computer Lab
19 Feb - 31 Mar
22 Apr - 2 Jun
02 Monday 15:00 - 16:00 Jack Erskine 248 Computer Lab
19 Feb - 31 Mar
22 Apr - 2 Jun

Course Coordinator

Fabian Dunker

Lecturer

Philipp Wacker

Indicative Fees

Domestic fee $847.00

International fee $4,988.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics .

All STAT318 Occurrences

  • STAT318-24S1 (C) Semester One 2024