- Code EMSC4020
- Unit Value 6 units
- Offered by Research School of Earth Sciences
- ANU College ANU Joint Colleges of Science
- Course subject Earth and Marine Science
- Areas of interest Earth and Marine Sciences, Environmental Studies, Earth Physics, Geology
This course is for Honours students
This course focuses on analytical methods and data science in Earth Sciences. It includes understanding types of instrumentation and other analytical techniques essential to the Earth Sciences, how to assess data quality, how to document and present results effectively, and how to use statistical and numerical techniques to interpret data quantitatively in Earth Sciences.
Upon successful completion, students will have the knowledge and skills to:
- Describe the theoretical and practical aspects of major analytical instrumentation (including electron microprobe, FTIR, XRF, XRD, mass spectrometery - ICPMS, TIMS, SIMS) used across the Earth Sciences in fields such as geochemistry, mineralogy, biogeochemistry, marine and climate science. The emphasis is on instrumentation and laboratories available to students at RSES.
- Evaluate the strengths and weaknesses of different analytical techniques for different applications.
- Appraise the advantages and disadvantages of different analytical techniques for a research program.
- Undertake data assessment and quality control.
- Explain the requirements for data documentation and reporting in a professional context.
- Assess a suite of relevant statistical techniques and use them to evaluate data sets to assess quality of data needed to obtain specific goals.
- Communicate effectively a variety of data science tools as applicable to Earth Science research problems.
- Students will complete classroom and independent work for assessment, including practicals, oral presentations and theory exams. Specifically: Theory exams - Best 2 of 3 exams. (20) [LO 1,2,3,4]
- Practical exercises including problems and use of datasets designed to explore and illustrate basic principles of instrumentation and production of high quality data (20) [LO 1,2,3,4,5]
- Oral and written presentation exploring a technique relevant to a student's desired research topic in more depth (10) [LO 1,2,3,4]
- Practical exercise on application of statistical techniques to the evaluation of data sets and quality (50) [LO 3,5,6,7]
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65 hours of lectures and hands-on practicals. Approximately 65 hours of self-study, based upon a combination of in-class assignments.
Not yet determined
Requisite and Incompatibility
An appropriate reading list will be provided during the course.
Assumed KnowledgeBasic knowledge of mathematics and chemistry.
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
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