GISC412-24S2 (C) Semester Two 2024

Spatial Data Science

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

This course introduces students to the field of spatial data science and is designed to develop students' understanding of some fundamental algorithms and code libraries that are used to manipulate, analyse, and map spatial data, and to explore how they are implemented in software. Students will use Python and Javascript programming languages. The course is largely lab and project based, with context and theoretical frameworks presented in lectures and tutorials in order to guide hands-on development.

Prerequisites

GISC401 or COSC121 or COSC480 or equivalent

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 Psychology - Sociology 252 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 13:00 - 14:00 Jack Erskine 242
15 Jul - 25 Aug
9 Sep - 20 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Wednesday 09:00 - 11:00 211A GIS Comp Lab
Ernest Rutherford 211
22 Jul - 25 Aug
9 Sep - 20 Oct
02 Friday 09:00 - 11:00 211A GIS Comp Lab
Ernest Rutherford 211
22 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator

Carolynne Hultquist

Indicative Fees

Domestic fee $1,145.00

* 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

  • GISC412-24S2 (C) Semester Two 2024
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