STAT318-25S1 (C) Semester One 2025

Statistical Learning

15 points

Details:
Start Date: Monday, 17 February 2025
End Date: Sunday, 22 June 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 2 March 2025
  • Without academic penalty (including no fee refund): Sunday, 11 May 2025

Description

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

Prerequisites

(1) One of MATH102, EMTH118, MATH199 (for foundational mathematics); (2) one of STAT101, DATA101, MATH120, EMTH119, DATA203, STAT211, STAT213, STAT221 (for basics in probability theory); and (3) one of STAT201, STAT202, EMTH211, ECON213, ECON214, STAT315, ECON324 (for familiarity with linear regression and related methods). All of the above can be replaced by suitable alternatives or demonstration of prior knowledge with approval of the Head of School of Mathematics and Statistics. RP: MATH103 or equivalent, STAT211, STAT202.

Recommended Preparation

MATH103 or equivalent, STAT211, STAT202.

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 F1 Lectorial
17 Feb - 6 Apr
28 Apr - 1 Jun
Lecture B
Activity Day Time Location Weeks
01 Wednesday 14:00 - 15:00 E14 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 12:00 - 13:00 Rehua 008 Computer Lab
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Thursday 10:00 - 11:00 Rehua 008 Computer Lab
17 Feb - 6 Apr
28 Apr - 1 Jun

Course Coordinator

Fabian Dunker

Lecturer

Blair Robertson

Course links

Library portal
Learn

Indicative Fees

Domestic fee $897.00

International fee $5,188.00

* 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

  • STAT318-25S1 (C) Semester One 2025