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 dataPREREQUISITES : An exposure to R is preferable; a basic engineering mathematics or mathematical methods course is preferableINDUSTRY SUPPORT : Nil
Week 1 : Introduction: basic probability and statisticsWeek 2 : Introduction: basic RWeek 3 : Presenting data: inaccurcacies and error and its propagationWeek 4 : R for descriptive data analysisWeek 5 : Probability distributionsWeek 6 : Probability distributions using RWeek 7 : Processing of experimental data using RWeek 8 : Fitting functions to data: regression, testing significance of fitWeek 9 : R for graphical handling of data and fittingWeek 10 : Basics of design of experimentsWeek 11 : Bayesian inference and its usesWeek 12 : Case studies using R