Course Title : Material and Chemical Information Analysis

Code 10C210
Course Year Master and Doctor Course
Term 2nd term
Class day & Period Tue 2nd
Location Engineering Science Depts Bldg.-112
Credits 2
Restriction No Restriction
Lecture Form(s) Lecture
Language Japanese
Instructor Jun Kawai

Course Description

Lectures on data processing methods such as Fourier transform and smoothing of measured data, ISO standards for chemical analysis, detection limits, standard deviation of measured data.calculations.

Grading

By reports

Course Goals

To get skills to extract information from data measured by the students by themselves during the research in graduate school.

Course Topics

Theme Class number of times Description
Central limit theorem 2 Central limit theorem, generating functions, Gaussian distribution, standard deviation.
Sampling and precision 1 Limit of detection, the error of the first kind, second kind, ISO standard of analytical chemistr.
Smoothing 2 Liest square method, Savitzky-Golay method, peak deconvolution,
Fourier transform 2 Fourier transform, convolution, deconvolution, smoothing by Fourier transfom.
Entropy 2 Akaike's information criteria, spline function, Tsallis entropy.
Difference between heat and temperature 1 Laplace transform.
Canonical ensamble 1
Green function and density matrix 2 Similarity between Schrodinger equation and diffusion equation.
Materials informatics 1
Feedback 1

Textbook

not used.

Textbook(supplemental)

Y. Gohshi (ed.) Instrumentation Chemistry, Shoukoudo (1997).

Prerequisite(s)

not needed.

Independent Study Outside of Class

Web Sites

www.process.mtl.kyoto-u.ac.jp

Additional Information