Courses & Units
Quantitative Methods in Marine and Antarctic Science KSM721
Introduction
Quantitative skills are fundamental tools for marine and Antarctic scientists. They are necessary to design studies, analyse data, and to assess and interpret published studies. This unit provides a solid grounding in appropriate ways to collect and analyse and present data in formats that are likely to be encountered by marine and Antarctic scientists. The unit emphasises hands-on, practical experience with widely used statistical software and addresses the common problems often encountered in dealing with biological, ecological and socioeconomic data. There is close integration of the lecture and practical components of the unit. The unit covers basic sampling and experimental design, data analysis using standard techniques, hypothesis testing and progresses on to developing models to describe and understand relationships in data and extrapolate beyond existing data.The unit will equip students wanting to understand and/or pursue research in marine and Antarctic science.
Summary
| Unit name | Quantitative Methods in Marine and Antarctic Science |
|---|---|
| Unit code | KSM721 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering Institute for Marine & Antarctic Studies |
| Discipline | Ecology and Biodiversity|Fisheries and Aquaculture|Oceans and Cryosphere |
| Coordinator | Doctor Beth Strain |
| Delivered By | University of Tasmania |
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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Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 1 | 26/2/2024 | 22/3/2024 | 15/4/2024 | 2/6/2024 |
* 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 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Compare and contrast robust experimental design practices to inform technique and methodology selection
- Analyse biological, ecological and socioeconomic data using statistical software and basic techniques.
- Interpret results of statistical analyses using a range of relevant techniques
- Present statistical analyses verbally and graphically to both technical and non-technical audiences
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 010907 | $1,118.00 | $1,118.00 | not applicable | $2,596.00 |
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 | Lectures (maximum of 2 hr total per week, ~20 mins each component) Lectures will be pre-recorded weekly and available via MyLO. |
|---|---|
| Assessment | Practical laboratory exercise (10%)|Hypothesis testing assignment (25%)|Linear and Generalised Linear Models Analyses (25%)|Major Assignment (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.