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Online Course

Dealing with materials data: collection analysis and interpretation

Indian Institute of Technology Bombay and NPTEL via Swayam

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Overview

This course is an introductory course with hands on sessions in R on some basic aspects of materials data. The course will cover all aspects, namely, data collection, analysis and interpretation. All the concepts will be covered with materials data and the hands-on sessions will be conducted using R programming language.     INTENDED AUDIENCE : Students of materials science, materials engineering, metallurgy, ceramics engineering,
polymers and any other student (such as physics, chemistry, mechanical engineering etc) who
is interested in materials data PREREQUISITES : An exposure to R is preferable; a basic engineering mathematics or mathematical methods course is preferable INDUSTRY SUPPORT : Nil

Syllabus

COURSE LAYOUT Week 1 : Introduction: basic probability and statistics Week 2 : Introduction: basic R Week 3 : Presenting data: inaccurcacies and error and its propagation Week 4 : R for descriptive data analysis Week 5 : Probability distributions Week 6 : Probability distributions using R Week 7 : Processing of experimental data using R Week 8 : Fitting functions to data: regression, testing significance of fit Week 9 : R for graphical handling of data and fitting Week 10 : Basics of design of experiments Week 11 : Bayesian inference and its uses Week 12 : Case studies using R

Taught by

Prof. M P Gururajan, Prof. Hina Gokhale

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