GISC412-23S2 (C) Semester Two 2023

Spatial Data Science

15 points

Details:
Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023

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

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 13:00 - 14:00 Karl Popper 508
17 Jul - 27 Aug
11 Sep - 22 Oct
Lecture B
Activity Day Time Location Weeks
01 Friday 10:00 - 11:00 Jack Erskine 240
17 Jul - 27 Aug
11 Sep - 22 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Monday 09:00 - 11:00 Ernest Rutherford 211 GIS Comp Lab
24 Jul - 27 Aug
11 Sep - 22 Oct

Course Coordinator

For further information see School of Earth and Environment on the departments and faculties page

Indicative Fees

Domestic fee $1,114.00

* 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 10 people apply to enrol.

Limited Entry Course

Maximum enrolment is 20

For further information see School of Earth and Environment on the departments and faculties page .

All GISC412 Occurrences

  • GISC412-23S2 (C) Semester Two 2023