GISC401-25S1 (C) Semester One 2025

Foundations of Geospatial Data Science

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

Geospatial Data Science deals with the processing, manipulation, analysis and visualization of spatial data in a variety of forms. Spatial data are those which contain geographical coordinates enabling them to be used for spatial analysis and mapping and include, for example, images from remote sensing, coordinates collected using navigation technologies, or census information by area, among many others. This course provides a practical introduction to concepts and methods in Geospatial Data Science for the analysis of spatial data. In this course you will gain an understanding of key concepts in Geospatial Data Science, learn how to represent the environment and the world using spatial data, and apply basic spatial analysis techniques to geographic data using programming languages. You will develop skills such as importing, manipulating, analyzing, and visualizing spatial data particularly using algorithms in R and/or Python. You will also develop an awareness of the current limitations and implications of geographic technology.

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.

Biculturally competent and confident

Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

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

Entry subject to the approval of the Programme Director.

Restrictions

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 14:00 - 15:00 Rehua 003 Music
17 Feb - 6 Apr
28 Apr - 1 Jun
Lecture B
Activity Day Time Location Weeks
01 Monday 09:00 - 10:00 F3 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 15:00 - 18:00 Rehua 008 Computer Lab
17 Feb - 6 Apr
28 Apr - 8 Jun
02 Wednesday 15:00 - 18:00 Rehua 008 Computer Lab
17 Feb - 6 Apr
28 Apr - 8 Jun
Field Trip A
Activity Day Time Location Weeks
01-P1 Saturday 09:00 - 18:00 Cass
17 Feb - 23 Feb
01-P2 Sunday 09:00 - 18:00 Cass
17 Feb - 23 Feb

Course Coordinator

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

Assessment

Assessment Due Date Percentage  Description
Online Quizzes 20% Online Quiz 1 (5%) - Week 4, Sat 5pm Online Quiz 2 (5%) - Week 6, Sat 5pm Online Quiz 3 (5%) - Week 9, Sat 5pm Online Quiz 4 (5%) - Week 11, Sat 5pm
Use of Gen-AI and Coding Forum 5% Due by assigned week (to be advised)
Data Sovereignty and Ethics Reflection 9% Due Week 7, Fri 5pm
Lab Assignments 18% Labs 1 & 2 (6%), Due Week 6, Fri 5pm Labs 4 & 5 (6%), Due Week 8, Fri 5pm Labs 6 & 7 (6%), Due Week 10, Fri 5pm
Investigative Journalism Article 30% Due Week 12 + 1, Fri 5pm
Self-Directed Learning Group Report 18% Due Week 11, Fri 5pm

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.

Minimum enrolments

This course will not be offered if fewer than 3 people apply to enrol.

For further information see School of Earth and Environment .

All GISC401 Occurrences

  • GISC401-25S1 (C) Semester One 2025