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Swayam Central

Dealing with materials data: collection analysis and interpretation

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

Learners enrolled: 178

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 27 Jan 2020
End Date : 17 Apr 2020
Exam Date : 26 Apr 2020
Enrollment Ends : 03 Feb 2020
Category :
  • Metallurgy and Material science & Mining Engineering
  • Level : Postgraduate
    This is an AICTE approved FDP course

    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: 26th April 2020, 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.

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