Overview
Fundamental concepts of time- and spatial-series analysis applied to existing physical and biological marine science data sets.
About this paper
| Paper title | Special Topic: Data Analysis Methods in Marine Science |
|---|---|
| Subject | Oceanography |
| EFTS | 0.1667 |
| Points | 20 points |
| Teaching period | Not offered in 2023 (On campus) |
| Domestic Tuition Fees ( NZD ) | $1,655.16 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Notes
- OCEN450 is open to any 4th-year student undertaking an environmentally related qualification.
- Contact
- Teaching staff
- Textbooks
To be confirmed.
- Graduate Attributes Emphasised
Global Perspective, Interdisciplinary Perspective, Lifelong Learning, Scholarship, Communication, Critical Thinking, Ethics, Environmental Literacy, Information Literacy, Research, Self-motivation. View more information about Otago's graduate attributes.
- Learning Outcomes
- Analytical thinking: Students are able to break down complex problems to constituent components and determine how to find appropriate data information to solve those components and bring them back together in a composite solution.
- Critical thinking: Students are able to evaluate the strength and rigor of data analysis techniques, identify their underlying assumptions and evaluate their limitations, consider alternative options, justify decisions and act with flexibility, adaptability and creativity.
- Presentation of Findings: Students are able to communicate methodology and findings of data analysis effectively to scientists and non-specialists in oral and written form.
- Information literacy: Students are able to access, synthesise and critically appraise the quality of scientific information on the basis of its source and the methods used to produce it.
- Environmental literacy: Students demonstrate a quantitative understanding of how and why bio-physical conditions vary within the ocean, and their potential impacts on marine ecosystems, cultures and economies.
- Research: Students are able to apply and modify the methods learned from the course to address scientific questions, and report on the results.
- Interdisciplinary perspective: Students demonstrate a commitment to intellectual openness and an understanding of the synthesis between ideas and concepts across different disciplinary boundaries. They are able to contextualise and consolidate scientific observation and analysis within political, cultural, and economic approaches to environmental issues.
- Lifelong learning: Students demonstrate a commitment to the ongoing development of skills such as critical thinking, data analysis and communication, and a highly developed ability to apply these over a range of contexts.
- Ethics: Students learn to maintain rigor and honesty and realise the limitations of their findings.
Timetable
Overview
Fundamental concepts of time- and spatial-series analysis applied to existing physical and biological marine science data sets.
About this paper
| Paper title | Special Topic: Data Analysis Methods in Marine Science |
|---|---|
| Subject | Oceanography |
| EFTS | 0.1667 |
| Points | 20 points |
| Teaching period | Not offered in 2024 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2024 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Notes
- OCEN450 is open to any 4th-year student undertaking an environmentally related qualification.
- Contact
- Teaching staff
- Textbooks
To be confirmed.
- Graduate Attributes Emphasised
Global Perspective, Interdisciplinary Perspective, Lifelong Learning, Scholarship, Communication, Critical Thinking, Ethics, Environmental Literacy, Information Literacy, Research, Self-motivation. View more information about Otago's graduate attributes.
- Learning Outcomes
- Analytical thinking: Students are able to break down complex problems to constituent components and determine how to find appropriate data information to solve those components and bring them back together in a composite solution.
- Critical thinking: Students are able to evaluate the strength and rigor of data analysis techniques, identify their underlying assumptions and evaluate their limitations, consider alternative options, justify decisions and act with flexibility, adaptability and creativity.
- Presentation of Findings: Students are able to communicate methodology and findings of data analysis effectively to scientists and non-specialists in oral and written form.
- Information literacy: Students are able to access, synthesise and critically appraise the quality of scientific information on the basis of its source and the methods used to produce it.
- Environmental literacy: Students demonstrate a quantitative understanding of how and why bio-physical conditions vary within the ocean, and their potential impacts on marine ecosystems, cultures and economies.
- Research: Students are able to apply and modify the methods learned from the course to address scientific questions, and report on the results.
- Interdisciplinary perspective: Students demonstrate a commitment to intellectual openness and an understanding of the synthesis between ideas and concepts across different disciplinary boundaries. They are able to contextualise and consolidate scientific observation and analysis within political, cultural, and economic approaches to environmental issues.
- Lifelong learning: Students demonstrate a commitment to the ongoing development of skills such as critical thinking, data analysis and communication, and a highly developed ability to apply these over a range of contexts.
- Ethics: Students learn to maintain rigor and honesty and realise the limitations of their findings.