GISC412-19S2 (C) Semester Two 2019

Spatial Data Science

15 points
15 Jul 2019 - 10 Nov 2019

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.

Pre-requisites

GISC405, COSC121, COSC480, or any previous Python programming experience.

Timetable 2019

Students must attend one activity from each section.

Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 09:00 - 11:00 Ernest Rutherford 211A GIS Comp Lab 15 Jul - 25 Aug
9 Sep - 20 Oct

Course Coordinator

For further information see Geography on the departments and colleges page

Indicative Fees

Domestic fee $1,033.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Geography on the department and colleges page.

All GISC412 Occurrences

  • GISC412-19S2 (C) Semester Two 2019