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This unit will be run again in 2019

Start and finish dates may change subject to staff availability, refer to the QMS website for further details. http://www.imas.utas.edu.au/qms/qms-unit-information

QMS units are designed for postgraduate students with a strong background in quantitative analysis, mathematics, physics and chemistry.

Introduction

This unit covers the concepts and techniques used to make formal comparison of alternative options for management of marine systems and resources. As there are generally several ways to model a given system and different approaches to specific management issues in selecting an 'optimal' management solution, it is important to use a systematic approach to compare alternative management strategies, including assessing strengths and weaknesses.

Summary 2020

Unit name Management Strategy Evaluation and Risk Assessment
Unit code QMS516
Credit points 12.5
Faculty/School College of Sciences and Engineering
Institute for Marine & Antarctic Studies
Discipline Ecology and Biodiversity|Fisheries and Aquaculture|Oceans and Cryosphere
Coordinator

Dr Klaas Hartmann

Teaching staff

Dr Paul Burch, other University staff and external lecturers from marine institutes

Level Postgraduate
Available as student elective? No
Breadth Unit? No

Availability

Note

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* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates

Fees

Requisites

Teaching

Teaching Pattern

1 week intensive course (5 days) consisting of lectures and tutorial classes. Typically there will be 15-20 hours of lectures and 15-20 hours of tutorial classes.

Assessment

Submittable laboratory/class work (60%) and a project report (40%). Students must pass both components to pass the unit.

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Information about any textbook requirements will be available from mid November.

Recommended

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