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    An integrated approach to studying oceanography, water chemistry and productivity in the coastal marine environment. Includes project planning, data gathering and analysis.

    A hands-on, practical introduction to gathering and analysing marine science data. The paper revolves around six boat-based transects on the Otago coast, during which students actively participate in collecting physical, chemical and biological oceanographic data using methods including CTD casts, water sampling and line-transect surveys for marine mammals. Students then analyse the data they have gathered to identify different coastal water masses and hotspots of biological production. Includes an introduction to GIS analyses. The research design, data collection and analysis skills learned will be useful for anyone pursuing postgraduate study.

    About this paper

    Paper title Coastal Marine Environment
    Subject Marine Science
    EFTS 0.1667
    Points 20 points
    Teaching period Full Year (On campus)
    Domestic Tuition Fees ( NZD ) $1,701.51
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Admission subject to approval from Head of Department.

    Teaching staff

    Course Co-ordinators: Dr Will Rayment 

    Teaching Arrangements

    Some Tuesdays 2-4pm
    Some Thursdays all day, with Friday reserve

    Please contact the department if there are discrepancies with the timetable at the bottom of this page.


    Textbooks are not required for this paper.

    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Scholarship, Communication, Critical thinking, Environmental literacy, Information literacy, Self-motivation, Teamwork.
    View more information about Otago's graduate attributes.
    Learning Outcomes
    Students begin by designing oceanographic surveys focused on detecting change in the marine environment. They will learn practical skills for gathering data at sea and how to analyse, interpret and communicate those data.


    Full Year

    Teaching method
    This paper is taught On Campus
    Learning management system


    Stream Days Times Weeks
    A1 Tuesday 14:00-15:50 9-10, 12, 16, 18-19, 22, 29, 31, 33
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