Dealing with materials data : collection, analysis and interpretation

By Prof. M P Gururajan, Prof. Hina Gokhale | IIT Bombay

Learners enrolled: 390

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

Summary

Course Status :	Completed
Course Type :	Elective
Language for course content :	English
Duration :	12 weeks
Category :	Metallurgy and Material science & Mining Engineering
Credit Points :	3
Level :	Postgraduate
Start Date :	24 Jan 2022
End Date :	15 Apr 2022
Enrollment Ends :	07 Feb 2022
Exam Date :	24 Apr 2022 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

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

Books and references

A student’s guide to data and error analysis, Herman J C Berendsen, Cambridge University Press, 2011.

Recent literature as applicable.

Instructor bio

Prof. M P Gururajan

IIT Bombay

My research interests are in modelling microstructural evolution. My teaching interests, among other things, include physical metallurgy, phase transformations, computational methods, simulation and optimization, modelling, mathematical methods and data analysis and interpretation. I am also interested in using mathematical and computational techniques to solve materials problems of academic interest and industrial importance as well as introducing open source software to materials scientists / metallurgists.

Prof. Hina Gokhale

I am statistician by education and have 25 years of experience of working in Defence Metallurgical Research laboratory, Hyderabad. My experience ranges from analysis of materials data for certification, research and life estimation technologies to training metallurgists for variety of statistical tools such as Design of Experiments and Analysis, Regression Analysis, Analysis of Variance, Neural Networks and Genetic Algorithm, Statistical Modeling and Monte Carlo simulation.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 24 April 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Bombay.It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team