Course Overview

This course is designed based on the teaching method of “authentic learning” to guide students to learn about the applications of statistics in marine chemistry. Basic statistics will be introduced with real-world marine chemical data sets. This course is complementary to the mandatory course “NTU Fundamentals of Oceanic Statistics” (基礎海洋統計) and to the Marine Chemistry Laboratory (海洋化學實習) for students in the chemical oceanography division.



A variety of data set from analytical methods including spectrophotometry, chromatography, mass spectrometry, chemiluminescent, fluorimeter, optical sensor and pH sensors, commonly used by chemical oceanographers. While the principles of analysis differs significantly among analytical methods, it is important that students be versatile in dealing with various data set. For example, spectrophotometry is a basic method for the analyses of marine micro nutrients, its sensitivity and stability can be directly estimated based on the extinction coefficient—the intensiveness of the color. The limit of detection is a fixed value. While other instruments such as a mass spectrometer, can be tuned in a various ways to provide a better sensitivities, different labs report different limits of detection. While the cost of an analysis using a spectrophotometer is only 1/1000 of the cost using a mass spectrometer, by using statistic tools and the combination of knowledge in analytical chemistry, students will learn to choose the most suitable method for their research.



The course will start by having students to look for problems in a reported data set. For example, a figure of data points without the report of error bars. Students will have to explore possible ways to estimate the errors. We will then discuss how to design experiments to measure the uncertainties. The course will then provide data from spectrophotometry, chromatography, mass spectrometry, chemiluminescent, fluorimeter, optical sensor and pH sensors, for students to report the data in a statistically acceptable way.



A variety of data set from analytical methods including spectrophotometry, chromatography, mass spectrometry, chemiluminescent, fluorimeter, optical sensor and pH sensors, commonly used by chemical oceanographers. While the principles of analysis differs significantly among analytical methods, it is important that students be versatile in dealing with various data set. For example, spectrophotometry is a basic method for the analyses of marine micro nutrients, its sensitivity and stability can be directly estimated based on the extinction coefficientthe intensiveness of the color. The limit of detection is a fixed value. WhWhile other instruments such as a mass spectrometer, can be tuned in a various ways to provide a better sensitivities, different labs report different limits of detection. While the cost of an analysis using a spectrophotometer is only 1/1000 of the cost using a mass spectrometer, by using statistic tools and the combination of knowledge in analytical chemistry, students will learn to choose the most suitable method for their research.



The course will start by having students to look for problems in a reported data set. For example, a figure of data points without the report of error bars. Students will have to explore possible ways to estimate the errors. We will then discuss how to design experiments to measure the uncertainties. The course will then provide data from spectrophotometry, chromatography, mass spectrometry, chemiluminescent, fluorimeter, optical sensor and pH sensors, for students to report the data in a statistically acceptable way.

Learning Achievement

(1) Students will know about basic statistics for chemical oceanographic data.

- Numbers of replicates

- Limit of detection

- Sensitivity

- Error analysis

- Outliers

- Significance tests

- Distribution patterns

- Principle component analysis

- Factor analysis

(2) Students will be able to identify problems in reported data set.

(3) Students will have the capability to use statistical tools to explore their research data.

Competence

Course prerequisites

*Chinese may be used when no international students sign up for this course.

Grading Philosophy

Course schedule

Course type

Online Course Requirement

Instructor

Huei-Ting Lin

Other information

Graduate Institute of Oceanography, Chemical Oceanography Division

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