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SURV102 Geospatial Science

A study of techniques as applied in surveying to built and natural environments, including statistics, trigonometry, mechanics, engineering, introductory programming, Geographic Information Systems (GIS) and remote sensing.

Paper title Geospatial Science
Paper code SURV102
Subject Surveying
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $1,176.90
International Tuition Fees (NZD) $4,410.00

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Schedule C
Science
Teaching Arrangements
Four 1-hour lecturers, plus one 3-hour practical per week

A 3-hour final exam (all students must gain a minimum of 40% in the final exam in order to pass the paper)

Internal assessment will count for 50% of the final mark and all work must be completed to meet terms.
  • Practical labs 40%
  • Blackboard quizzes 50%
  • Reading responses and seminar reports 10%
Communication:
  • Information regarding all aspects of the paper will be provided via the Blackboard site and during the lecture. The Blackboard site will be updated regularly. Your instructors are also available during scheduled lab practicals and at other times by arrangement. If you have a question, ask
Student responsibilities and participation:
  • It is your responsibility as a student to be aware of the requirements for this paper. How you participate in the paper is both your responsibility and your choice. It is important that you attend lectures. Content is developed over sequences of days, so when you skip days, you miss information, linkages between key ideas and worked examples. You should be aware that you will not earn the best marks possible if you routinely arrive late or choose not to attend lectures and practical sessions
Eligibility
This introductory paper covers foundational material for surveying and GIS papers. It is recommended for progress into SURV 208 Introduction to GIS. GIS and spatial analysis are extremely useful tools in many disciplines, at both undergraduate and postgraduate levels.
Contact
christina.hulbe@otago.ac.nz
Teaching staff
Convenor: Professor Christina Hulbe
Lecturers: Professor Christina Hulbe, Dr Tony Moore and Colin O'Byrne
Paper Structure
This paper reviews and introduces foundational topics in geospatial and measurement science, including:
  • Problem-solving approaches
  • Geometry and trigonometry
  • Geospatial data and methods
  • Statistics
  • Physics mechanics
The semester proceeds as follows:
  • Weeks 1 through 4 cover geometry, trigonometry, vectors, and problem solving skills s they relate to the spatial and measurement sciences, including field and lab applications, and basic programming skill development.
    • Software: SketchUp, Matlab
  • Weeks 5 and 6 cover basic statistics for measurement analysis, including descriptive statistics and hypothesis tests.
    • Software: Matlab
  • Weeks 7 through 10 are an introduction to remote sensing and geographic information science (GIS)
    • Software: ArcGIS, Matlab
  • Weeks 11 and 12 introduce physical principles encountered in surveying and geodesy. Emphasis is placed on application of fundamental principles.
    • Software: Matlab
Practical Labs:
  • A significant part of this paper is devoted to hands-on work in the Surveying "spatial lab". This practical lab work is an important contributor to developing basic skills to use and manipulate geospatial data, as well as develop your understanding of the material discussed during lecture
Software:
  • SketchUp: SketchUp is a software program widely used in a number of industries for creating visualisations and virtual models of 3-dimensional objects and landscapes. In the development industry, it is one of the tools used to visualise proposed changes to the physical landscape at a variety of scales (from the design and development of small properties to regional utilities and land planning). Freeware versions (called SketchUp Make) are available for Macintosh and Windows computer platforms and can be downloaded directly from the manufacturer's website
  • ArcGIS: ArcGIS is an industry-standard software to visualise, manipulate and analyse GIS and remotely sensed data. University-wide licences are available for Windows. Enrolled students can install the software for one year on a personal computer
  • Matlab: Matlab is a programming environment for data analysis, data visualisation and mathematical modelling. University-wide licences are available for Macintosh, Windows and Linux computer platforms, and you will find the software in University computer labs. Enrolled students can order the software for use on personal computers as required for University studies through ITS
Textbooks
Textbooks are not required for this paper.

All materials are available online.
Graduate Attributes Emphasised
Critical thinking, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will be able to
  • Apply problem-solving skills and strategies, including computer implementation of simple mathematical algorithms
  • Identify and apply appropriate tools from geometry and trigonometry to complete spatial computations and solve spatial problems
  • Understand the importance of measurement errors, use descriptive statistics to quantify errors, and choose and apply appropriate hypothesis tests to gain deeper understanding of the data used in geospatial analysis
  • Use GIS to visualise data and conduct simple spatial analysis
  • Understand the fundamentals of remotely sensed data and its application in geospatial science
  • Apply equations of motion in scenarios relevant to surveying and geospatial science

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Timetable

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
L1 Monday 11:00-11:50 28-34, 36-41
Wednesday 11:00-11:50 28-34, 36-41
Thursday 11:00-11:50 28-34, 36-41
Friday 11:00-11:50 28-34, 36-41

Tutorial

Stream Days Times Weeks
Attend one stream from
T1 Monday 08:00-10:50 28-34, 36-41
T2 Wednesday 08:00-10:50 28-34, 36-41
T3 Wednesday 16:00-18:50 28-34, 36-41
T4 Thursday 08:00-10:50 28-34, 36-41

A study of techniques as applied in surveying to built and natural environments, including statistics, trigonometry, mechanics, engineering, introductory programming, Geographic Information Systems (GIS) and remote sensing.

This introductory paper covers foundational material important to future surveying papers and is recommended for progress into SURV 208 Introduction to GIS. GIS is an extremely useful tool for many disciplines in both undergraduate and postgraduate study. It encompasses:

  • Geometry and trigonometry
  • Geospatial data and methods
  • Statistics for measurement analysis
  • Physics mechanics: gravity and force balance

Paper title Geospatial Science
Paper code SURV102
Subject Surveying
EFTS 0.1500
Points 18 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $1,200.45
International Tuition Fees (NZD) $4,586.40

^ Top of page

Schedule C
Science
Eligibility
This introductory paper covers foundational material for surveying and GIS papers. It is recommended for progress into SURV 208 Introduction to GIS. GIS and spatial analysis are extremely useful tools in many disciplines, at both undergraduate and postgraduate levels.
Contact
christina.hulbe@otago.ac.nz
Teaching staff
Convenor: Professor Christina Hulbe
Lecturers: Professor Christina Hulbe, Associate Professor Tony Moore, Colin O'Byrne and Dr Pascal Sirguey
Paper Structure
This paper reviews and introduces foundational topics in geospatial and measurement science, including:
  • Problem-solving approaches
  • Geometry, trigonometry, and vectors
  • Geospatial data and methods
  • Measurement errors and statistics
  • Physics mechanics
The semester is divided into the following modules:
  • Review of geometry and trigonometry as they relate to the spatial and measurement sciences, including field and lab applications. Problem solving and basic programming skill development.
    • Software: SketchUp, Matlab
  • Basic statistics for measurement analysis, including descriptive statistics and hypothesis tests.
    • Software: Matlab
  • An introduction to remote sensing and geographic information science (GIS)
    • Software: ArcGIS, Matlab
  • An introduction to physics principles encountered in surveying and geodesy.
    • Software: Matlab
Teaching Arrangements
Three or four 1-hour lectures, plus one 3-hour practical per week

A 3-hour final exam (all students must gain a minimum of 40% in the final exam in order to pass the paper)

Internal assessment will count for 50% of the final mark and all work must be completed to meet terms.
  • Practical labs 40%
  • Blackboard quizzes 50%
  • Reading responses and seminar reports 10%
Communication:
  • Information regarding all aspects of the paper will be provided via the Blackboard site and during the lecture. The Blackboard site will be updated regularly. Your instructors are also available during scheduled lab practicals and at other times by arrangement. If you have a question, ask.
Student responsibilities and participation:
  • It is your responsibility as a student to be aware of the requirements for this paper. How you participate in the paper is both your responsibility and your choice. It is important that you attend lectures. Content is developed over sequences of days, so when you skip days, you miss information, linkages between key ideas and worked examples. You should be aware that you will not earn the best marks possible if you routinely arrive late or choose not to attend lectures and practical sessions.
Textbooks
Textbooks are not required for this paper.

All materials are available online.
Graduate Attributes Emphasised
Critical thinking, Information literacy, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes
Students who successfully complete the paper will be able to
  • Apply problem-solving skills and strategies, including computer implementation of simple mathematical algorithms
  • Identify and apply appropriate tools from geometry and trigonometry to complete spatial computations and solve spatial problems
  • Understand the importance of measurement errors, use descriptive statistics to quantify errors, and choose and apply appropriate hypothesis tests to gain deeper understanding of the data used in geospatial analysis
  • Use GIS to visualise data and conduct simple spatial analysis
  • Understand the fundamentals of remotely sensed data and its application in geospatial science
  • Apply equations of motion in scenarios relevant to surveying and geospatial science

^ Top of page

Timetable

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
Blackboard

Lecture

Stream Days Times Weeks
Attend
L1 Monday 11:00-11:50 28-34, 36-41
Wednesday 11:00-11:50 28-34, 36-41
Thursday 11:00-11:50 28-34, 36-41
Friday 11:00-11:50 28-34, 36-41

Tutorial

Stream Days Times Weeks
Attend one stream from
T1 Monday 08:00-10:50 28-34, 36-41
T2 Wednesday 08:00-10:50 28-34, 36-41
T3 Wednesday 16:00-18:50 28-34, 36-41
T4 Thursday 08:00-10:50 28-34, 36-41