Courses & Units

Introduction to Quantitative Marine Science QMS510

Note:

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

The purpose of this unit is to give new students an introduction to the QMS program and to bring all students up to a basic level of specialized computing skill. Students will be taught how to use a widely used programming language (Python) and a well known statistics package (R) to provide basic skills in the use and application of these software packages, especially related to marine problems.

Summary

Unit name Introduction to Quantitative Marine Science
Unit code QMS510
Credit points 12.5
College/School College of Sciences and Engineering
Institute for Marine & Antarctic Studies
Discipline Ecology and Biodiversity|Oceans and Cryosphere
Coordinator Doctor Sophie Bestley
Delivered By University of Tasmania
Level Postgraduate

Availability

Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Key Dates

Study Period Start date Census date WW date End date
Semester 1 21/2/2022 22/3/2022 11/4/2022 29/5/2022

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • Students will acquire a broad perspective of the Python programming language and the R statistical package, and learn programming skills and analysis techniques to solve multidisciplinary problems
  • Students will enhance their problem solving capacity in marine problems using technical computing skills, and be able to acquire, manipulate and use relevant data and information to tackle a range of problems.
  • Understand the role of data analysis in a range of contexts and applications, and that the application and interpretation of marine data analysis may have important social and ethical implications.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
010907 $1,002.00 $1,002.00 not applicable $2,354.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Teaching

Teaching Pattern

The unit is offered fully online; students may progress at their own pace. Additional tutorials will be offered by arrangement with the Lecturer.

AssessmentScripting 1 (20%)|Text, File and Data Manipulation (20%)|Plots and Maps (20%)|Project (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Comprehensive notes will be distributed via Mylo before the unit commences.

Recommended

A list of useful additional resources are given in the online unit notes.

LinksBooktopia textbook finder

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