Course Name: Phase field modelling: the materials science, mathematics and computational aspects

Course abstract

This course in a tutorial introduction to phase field modelling. Phase field models are used to model microstructure evolution in a wide variety of systems such as solidification, solid-solid phase transformations and deformation induced microstructural evolution. In this course, we will primarily concentrate on modelling solid-solid transformations using phase field models. In this course, we will discuss the materials science, mathematical and computational aspects of phase field modelling. Specifically, the computations will be carried out using GNU Octave, a freeware for scientific computations.


Course Instructor

Media Object

Prof. M.P Gururajan

Gururajan has done B Sc (Physics), Msc (Materials Science), MS (by research) and PhD in Metallurgy. He has worked as a post-doctoral fellow at Northwestern University and Assistant Professor at Department of Applied Mechanics at IIT Delhi. Currently he is an Assistant Professor at the Department of Metallurgical Engineering and Materials Science, IIT Bombay. His research and teaching interests include materials mechanics and thermodynamics, computational methods, phase field modelling, phase transformations and modelling of microstructural evolution.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jul-Oct 2016
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 Syllabus
 Enrollment : 23-May-2016 to 18-Jul-2016
 Exam registration : 25-Jul-2016 to 20-Sep-2016
 Exam Date : 16-Oct-2016, 23-Oct-2016

Enrolled

370

Registered

9

Certificate Eligible

5

Certified Category Count

Gold

0

Elite

4

Successfully completed

1

Participation

1

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 11 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment score
Phase field modelling: the materials science, mathematics and computational aspects - Toppers list

S HARIHARAN 86%

NATIONAL INSTITUTE OF TECHNOLOGY TIRUCHIRAPPALLI

Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.