Materials Informatics

Numbering Code G-ENG09 5C212 LJ75 Year/Term 2022 ・ Second semester
Number of Credits 2 Course Type Lecture
Target Year Target Student
Language Japanese Day/Period Tue.2
Instructor name KAWAI JIYUN (Graduate School of Engineering Professor)
Outline and Purpose of the Course Fourier transform of physical data, data processing such as smoothing, ISO standard of analysis, detection limit, and error will be discussed.
Course Goals Learn how to obtain materials information from data measured for your graduate research.
Schedule and Contents Central limit theorem (Cental limit theorem, generating functions, normal distribution, standard deviation)---2

Sampling and accuracy (Detection limit, ISO standard)---1

Smoothing (Least-squares method, Savitzky-Golay smoothing, peak separation)---1

Problem 1.

Fourier transform (Fourier transform, convolution/deconvolution)---2

Problem 2.
Entropy (Akaike's information criteria, spline function, Tsallis entropy)---2

Difference between heat and temperature (Laplace transform)---1

Canonical ensamble (Probability and Laplace transform)---1

Green function and density matrix (Aimilarity between Schroedinger equation and diffusion equation)---2

JIS and ISO standards---1

Materials informatics---1

Feedback---1
Evaluation Methods and Policy Submission of reports.
Course Requirements None
Study outside of Class (preparation and review) Report problems are rather heavy.
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