DATA303-26S2 (C) Semester Two 2026

Computational Data Methods

15 points

Details:
Start Date: Monday, 13 July 2026
End Date: Sunday, 8 November 2026
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 26 July 2026
  • Without academic penalty (including no fee refund): Sunday, 27 September 2026

Description

This course extends multivariate data science techniques to topics such as classification, data fitting, regularization and regression. The focus of this course is on the methods which support many modern data processing applications. Students will be introduced to multivariate statistical techniques, linear algebra and calculus topics that are needed in data science.

Prerequisites

Restrictions

DRAFT TIMETABLE:

Please note that the 2026 timetable has not been finalised.

Scheduled days and times will be confirmed, following review, on 15th October.

Timetable 2026

Students must attend one activity from each section.

Lecture A A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 441
13 Jul - 23 Aug
7 Sep - 18 Oct
Lecture B B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Jack Erskine 244
13 Jul - 23 Aug
7 Sep - 18 Oct
Tutorial A A
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 Rata 119 Meeting Room
13 Jul - 23 Aug
7 Sep - 18 Oct
02 Monday 13:00 - 14:00 Psychology - Sociology 213
13 Jul - 23 Aug
7 Sep - 18 Oct

Indicative Fees

Domestic fee $951.00

International fee $5,388.00

* 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 DATA303 Occurrences

  • DATA303-26S2 (C) Semester Two 2026
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