GISC412-26S2 (C) Semester Two 2026

Advanced Methods in Geospatial Data Science

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 develops skills in geospatial data science and is designed to form understanding of fundamental algorithms and code libraries that are used to manipulate, analyse, and map spatial data, and to explore how they are implemented. Students will use the Python programming language. The course is largely lab and project based, with context and theoretical frameworks presented in lectures while labs guide hands-on development.

Prerequisites

GISC401 or COSC121 or COSC480 or equivalent

Restrictions

Timetable 2026

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 12:00 - 13:00 E14 Lecture Theatre
13 Jul - 23 Aug
7 Sep - 18 Oct
Lecture B
Activity Day Time Location Weeks
01 Thursday 12:00 - 13:00 Ernest Rutherford 260
13 Jul - 23 Aug
7 Sep - 18 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 11:00 - 13:00 Ernest Rutherford 211 GIS Comp Lab
20 Jul - 23 Aug
7 Sep - 18 Oct
02 Monday 10:00 - 12:00 Ernest Rutherford 211 GIS Comp Lab
20 Jul - 23 Aug
7 Sep - 18 Oct

Indicative Fees

Domestic fee $1,286.00

* 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 School of Earth and Environment on the departments and faculties page .

All GISC412 Occurrences

  • GISC412-26S2 (C) Semester Two 2026
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