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🧠Teaching Philosophy
🧠Teaching Philosophy
I believe in integrating computational tools with core scientific principles to enhance learning in materials science. My teaching emphasizes hands-on programming, data analysis, and simulation to help students bridge theory with real-world applications.
Courses Assisted
Courses Assisted
🧮 MM225: AI & Data Science
🧮 MM225: AI & Data Science
Institution: Indian Institute of Technology Bombay, Mumbai
Role: Head Teaching Assistant (2 semesters)
Audience: ~270 undergraduate students (split into 4 lab batches)
Format: Theory + Lab
Focus: Python programming for data science in metallurgy
Topics Covered:
Probability, distributions, hypothesis testing
Unsupervised and supervised learning
Data handling, file I/O, and visualization using Python
💻 MM220: Computation Laboratory
💻 MM220: Computation Laboratory
Institution: Indian Institute of Technology Bombay, Mumbai
Role: Head Teaching Assistant (1 semester)
Audience: ~120 undergraduate students (split into 2 lab batches)
Format: Lab Course
Focus: MATLAB for numerical methods in materials science
Topics Covered:
Root finding, interpolation, curve fitting
Numerical differentiation and integration
Solving ODEs and system of equations
Script writing and plotting in MATLAB
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