Return to course offering list for 233.251

233.251 GIS and Remote Sensing (15 credits)

A journey of discovery in the world of geospatial information. Learn how to use Geographic Information Systems (GIS) to store, query and manipulate spatial datasets. Develop an understanding of how these data are gathered using remote sensing techniques and analysed using digital image analysis.

Details Details

  • Year: 2020
  • Mode: Internal
  • Semester: Semester One full semester
  • Location: Manawatu Campus
  • Coordinator: A/Pro Jonathan Procter
  • Subject: Earth Science
  • College: College of Sciences

Online component Details

  • Online component: Fully Taught Online - As all of the course is taught online and there are no on-campus components (attendance at an examination venue may be required), Broadband access is required. In addition to accessing the Course Guide, students will be required to access core and supplementary digital study resources, contribute to discussion fora and complete online activities and assessment tasks. Core study resources that can be published in print will be supplied to the students who request them Learn more about Stream, our online learning environment.

Requirements Requirements help

Dates

  • Start Date: Monday 24 February, 2020
  • End date: Sunday 21 June, 2020

Withdrawal dates Requirements help

The last day to withdraw from this course:

  • Without financial penalty: Friday 6 March, 2020
  • Without academic penalty: Thursday 21 May, 2020

Fees


Course fees for 2020

  • Domestic Students: NZD $862.50 *
  • International Students NZD $4,097.50 *

* This fee information is for estimation purposes only and includes New Zealand Goods and Services Tax. Actual fees payable will be finalised on confirmation of enrolment. The estimate does not include non-tuition fees. To view an estimate showing both tuition and non-tuition fees use the Fees Calculator. These fees only apply to 2020 enrolments. Domestic students may be eligible for free fees in their first year.

Learning outcomes Details

Students who successfully complete this course should be able to:

  1. Have a good understanding of digital geospatial information.
  2. Be proficient in the collection, management and use of geospatial data.
  3. Know how to discover, appraise and access geospatial datasets.
  4. Understand how to use GIS and remote sensing to measure, map, monitor and model our world.
  5. Learn how to use the tools that a GIS provides.
  6. Have an appreciation of spatial analysis.
  7. Become proficient at querying spatial databases.
  8. Study selected remote sensing systems.
  9. Understand basic digital image analysis.
  10. Acquire skills at converting spatial data to useful information.
  11. Know where to find relevant spatial data for particular projects.
  12. Know how to manipulate spatial data for scenario evaluation.

Please note: Learning Outcomes are subject to change until the beginning of the semester in which the course is delivered.

Assessments Details

During this course, the following assessments will contribute to your final mark.


Assessment Learning outcomes assessed Weighting
1 Written Assignment 1,2,3,4,5,6,7,8,9,10,11,12 40.0%
2 Oral/Performance/Presentation 4,6,11,12 10.0%
3 Test 3,4,5,7,9,10,12 20.0%
4 Exam (centrally scheduled) 1,2,3,4,5,6,7,8,9,10,11,12 30.0%

Please note: Assessment weightings are subject to change until the beginning of the semester in which the course is delivered.

* Specific dates for assessments will be finalised in information provided on Stream at the start of the Course.

Textbooks

It is recommended that textbooks are purchased no sooner than 7 weeks prior to the semester start date as textbooks can be subject to change.


  • There are no set texts for this course.

Bennetts Bookshop stocks textbooks and legislation. Current second-hand textbooks are also bought and sold. For more information visit Bennett's Online Books

Class timetable

The class timetable displays all available class times for this offering. Once you have enrolled in a course, you can access the student portal and select which of these class times you wish to attend.

Requirement(s): Each student should take 2 hour(s) of Lecture(s) and 4 hour(s) of Laboratory class(es) per week.


Computing lab (All students)
Tuesday 09:00 - 11:00
Friday 09:00 - 11:00

Lecture (All students)
Tuesday 08:00 - 09:00
Friday 08:00 - 09:00

More information...

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