Course abstract
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.
Course Instructor
Prof. M P Gururajan
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.More info
Teaching Assistant(s)
Course Duration : Jan-Apr 2020
View Course
Enrollment : 18-Nov-2019 to 03-Feb-2020
Exam registration : 16-Dec-2019 to 20-Mar-2020
Exam Date : 26-Apr-2020
Enrolled
530
Registered
6
Certificate Eligible
2
Certified Category Count
Gold
0
Silver
0
Elite
0
Successfully completed
2
Participation
0
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 12 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Dealing with Materials Data : Collection, Analysis and Interpretation
- Toppers list
Enrollment Statistics
Total Enrollment: 530
Registration Statistics
Total Registration : 95
Assignment Statistics
Assignment
Exam score
Final score
Exam score
Final score