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MB5370 - Techniques in Marine Science 1
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
Available to postgraduate science students.
Available to postgraduate science students enrolled in the Master of Marine Biology.
This subject will provide students with practical skills and knowledge in data science
approaches that are used to understand biological and ecological processes in marine
and coastal environments. Learning is problem-based and emphasises hands-on skills
development through practical and demonstration sessions. The subject comprises discrete
learning modules that each involve 20 to 40 hours of study, and that have a component
of self-paced online learning of theory followed by in-person practical sessions.
After completing an initial compulsory module that provides a foundation of coding
and data-manipulation skills, students will choose from a set of modules that focus
on different ecological questions and conservation-based analyses that will form the
basis of learning a variety of modern analytical platforms. The modules were designed
in consultation with our research partners and stakeholders in industry and government
to ensure that the knowledge and skills developed during the subject are directly
relevant for marine science professionals. Various staff members in the College are
involved in teaching the different learning modules in this subject.
Learning Outcomes
- retrieve, analyse, synthesize and evaluate complex information to critically appraise
the application of contemporary theories in marine biology for creating sustainable
communities and environments in the tropics;
- organise, analyse and interpret complex scientific data using mathematical, statistical
and technological skills, and apply an integrated understanding of multiple approaches
in order to assess the best method for different scenarios;
- demonstrate mastery of a broad range of advanced technical and practical skills required
for data handling, processing, analysis and communication as required in marine science
practice.
Subject Assessment
- Written > Test/Quiz 1 - (20%) - Individual
- Written > Problem task - (30%) - Group & Individual
- Written > Workbook - (50%) - Individual.
Assumed Knowledge:
|
Students enrolling in this subject should have an undergraduate degree in a relevant
discipline (e.g. biology or environmental science) or have acquired equivalent knowledge
through other study. Students enrolling in this subject should have a high degree
of competency in data manipulation and biological statistics, and some prior experience
of computer programming, such as the use of the R statistical software. Basic knowledge
of Geographical Information Systems is also useful but not essential.
|
Availabilities
|
Townsville,
Study Period 1,
Internal
|
Census Date 23-Mar-2023 |
Coordinator: |
Dr Nicholas Murray |
Lecturer:
|
Dr Ira Cooke. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 20 hours lectures
- 40 hours workshops
- assessment and self-directed study
|
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 24-Aug-2023 |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 20 hours lectures
- 40 hours workshops
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.