GISC412-25S2 (C) Semester Two 2025

Advanced Methods in Geospatial Data Science

15 points

Details:
Start Date: Monday, 14 July 2025
End Date: Sunday, 9 November 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 27 July 2025
  • Without academic penalty (including no fee refund): Sunday, 28 September 2025

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.

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Globally aware

Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.

Prerequisites

GISC401 or COSC121 or COSC480 or equivalent

Restrictions

Course Coordinator

For further information see School of Earth and Environment Head of Department

Indicative Fees

Domestic fee $1,213.00

* 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 .

All GISC412 Occurrences

  • GISC412-25S2 (C) Semester Two 2025
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